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Free Download Endodontics Smart Review Course-INBDE/ADAT/AFK/ADC/ORE/DHA
Last updated 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.99 GB | Duration: 3h 20m
MASTER THE BASICS OF ENDODONTICS WITH DR SEHAR'S HIGH FOCUS SMART VIDEOS,STUDY NOTES,PRACTICE QUIZZES

What you'll learn
Students will form a strong foundation and get all basic concepts of ENDODONTICS cleared through this course with essentials to ace it in INBDE/ADAT/AFK/ADC/
Students will be provided high focus smart study notes and videos on most important topics of the subject to understand effectively core fundamentals involved.
Students will get to practice smart quizzes of 150 qs to master both the speed and accuracy required to ace the exams at very first attempt!
Learners will have a solid understanding of core concepts in endodontics, including diagnosis, treatment planning & management of pulpal & periradicular disease
A brief review of tooth anatomy and access cavity preparation,Direct Indirect Pulp capping,intracanal medicaments,cleaning shaping,obturation,emergencies.
Requirements
Basic Understanding of Endodontics
Dental students, Internationally trained dentists who are preparing for dental licensing exams INBDE/ADAT/AFK/ADC/ORE/DHA, can take this course
Background in Dentistry
Description
ENDODONTICS: SMART REVIEW VIDEOS,HIGH FOCUS STUDY NOTES,PRACTICE QUIZZESUnlock the Essential principles of ENDODONTICS in this comprehensive course designed for dental students,Internationally trained dentist studying hard to pass licensing exams & to realize the dream of practicing as a Dental surgeon in US/Canada/UK/Middle East/Australia.What You'll Learn:Fundamental Concepts and high yield facts of Endodontics: Gain insight into the basics of pulp histology,Root canal anatomy,access cavity preparation,obturation techniques,cleaning&shaping,root canal medicaments,diagnosing periapical&pulpal conditions,adjunctive endo therapies,root canal failures,management of endodontic emergencies,post &core preparation,surgical endodontics.Who Should Enroll:This course is perfect for dental students, Internationally trained dentists & dental professionals preparing for dental licensing exams: INBDE, ADAT, AFK, ORE, ADC, DHA,ORE. Whether you're a student or a recent graduate, you'll gain essential knowledge in Endodontics to excel in your licensing exams.Course Format:This course is a unique combination of video lectures,study notes and interactive quizzes that will build a strong foundation in Endodontics Through engaging video lectures, and interactive quizzes, you'll build a strong foundation in the Endodontics subject. By the end of the course, you'll be equipped with the confidence to ace the dental licensing exams INBDE/ADAT/AFK/ADC/ORE/DHA on your very first attempt.Join us and take the first step toward mastering Endodontics basic to solve each and every Q in your final exam with confidence! Enhance your career prospects and ensure you're well-prepared for a rewarding future in dentistry.
Overview
Section 1: INTRODUCTION
Lecture 1 Introduction on Endodontics
Section 2: MODULE 1
Lecture 2 Pulp Histology
Lecture 3 Pulp Histology (Notes)
Section 3: MODULE 2
Lecture 4 Pulpal Response to Injury (Part 1)
Lecture 5 Pulpal Response to Injury (Part 2)
Lecture 6 Pulpal Response to Injury (Notes)
Section 4: MODULE 3
Lecture 7 Pulpal vs Periodontal Conditions
Lecture 8 Pulpal vs Periodontal Conditions (Notes)
Section 5: MODULE 4
Lecture 9 Endo Diagnosis & Examination & Testing (Part 1)
Lecture 10 Endo Diagnosis & Examination & Testing (Part 2)
Lecture 11 Endo Diagnosis & Examination & Testing (Notes)
Section 6: MODULE 5
Lecture 12 Cracked Tooth vs Vertical Root Fracture
Lecture 13 Cracked Tooth vs Vertical Root Fracture (Notes)
Section 7: MODULE 6
Lecture 14 Endo Perio Relationship
Lecture 15 Endo Perio Relationship (Notes)
Section 8: MODULE 7 (NON SURGICAL ENDO)
Lecture 16 Access Cavity Preparation And Root Canal Morphology
Lecture 17 Access Cavity Preparation And Root Canal Morphology (Notes)
Lecture 18 Cleaning And Shaping (Part 1)
Lecture 19 Cleaning And Shaping (Part 2)
Lecture 20 Cleaning And Shaping (Part 3)
Lecture 21 Cleaning And Shaping (Notes)
Lecture 22 Root Canal Medicaments
Lecture 23 Root Canal Medicaments (Notes)
Lecture 24 Obturation Techniques
Lecture 25 Obturation Techniques (Notes)
Section 9: MODULE 8
Lecture 26 Endodontic Instrumentation
Section 10: MODULE 9
Lecture 27 Endodontic Failures/Mishaps
Lecture 28 Endodontic Failures/Mishaps (Notes)
Section 11: MODULE 10
Lecture 29 Endodontic Emergencies
Lecture 30 Endodontic Emergencies (Notes)
Section 12: MODULE 11
Lecture 31 Endodontic Microbiology
Lecture 32 Endodontic Microbiology (Notes)
Section 13: MODULE 14
Lecture 33 Adjunctive Endo Therapy
Lecture 34 Adjunctive Endo Therapy (Notes)
Section 14: MODULE 15
Lecture 35 Tooth Bleaching & Causes of Discolouration
Section 15: MODULE 16
Lecture 36 Management of Endodontically Treated Tooth
Lecture 37 Management of Endodontically Treated Tooth (Notes)
Section 16: MODULE 17
Lecture 38 Surgical Endodontics (Part 1)
Lecture 39 Surgical Endodontics (Part 2)
Lecture 40 Surgical Endodontics (Notes)
For dental students preparing for INBDE, ADAT, AFK, DHA, ADC, ORE,For recent graduates, and Internationally trained dentists preparing for the dental licensing exam,The learners who want to strengthen their basic understanding of endodontics subject.

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Free Download Achieving Better Work Life Balance by Mustapha ROUANE
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.18 GB | Duration: 0h 59m
"Reignite Your Drive: Strategies to Overcome Workplace Burnout"

What you'll learn
Identify Burnout Symptoms: Understand the physical, emotional, and behavioral signs of burnout and learn to recognize them early.
Analyze Burnout Triggers: Gain insights into personal and workplace factors that lead to burnout, such as workload, lack of control, and work-life imbalance.
Stress Management Techniques: Master practical tools and techniques, such as mindfulness, breathing exercises, and time management, to reduce stress and regain
Resilience Building: Develop habits and routines that foster resilience, improve emotional well-being, and maintain sustainable energy levels.
Establish Work-Life Balance: Create boundaries, prioritize self-care, and build a healthy relationship between your personal and professional life.
Design a Personalized Action Plan: Develop a tailored plan with actionable strategies to overcome burnout and maintain long-term success in the workplace.
Requirements
There are no requirements or prerequisites for taking your course.
Description
Feeling overwhelmed, exhausted, or unmotivated at work? You're not alone. Burnout is a common challenge in today's fast-paced workplace, but it doesn't have to define your career or your life. This course is your guide to overcoming workplace burnout and reclaiming your energy, focus, and enthusiasm.In this comprehensive course, you'll learn how to identify the early signs of burnout, understand its root causes, and implement practical strategies to manage stress and restore balance. With actionable advice and expert insights, you'll discover how to create a healthier work-life dynamic, improve your productivity, and boost your overall well-being.What You'll Learn:Recognize the signs and symptoms of burnout before they escalate.Understand the personal and workplace factors that contribute to burnout.Develop effective stress management techniques to regain control.Build habits and routines that promote resilience and sustainable energy.Create a personalized action plan to thrive in your professional and personal life.Whether you're feeling stuck or just looking to prevent burnout before it starts, this course offers the tools and strategies you need to move forward with confidence. Join us today and take the first step toward overcoming workplace burnout and achieving a balanced, fulfilling career.Your journey to a healthier, happier you begins here!
Overview
Section 1: Foundations of Balance
Lecture 1 Introduction
Lecture 2 Lecture 1: Your Current Balance
Lecture 3 Lecture 2: The Science of Balance
Lecture 4 Lecture 3: Key Principles
Section 2: Time Management Essentials
Lecture 5 Lecture 1: Prioritize and Plan
Lecture 6 Lecture 2: Setting Boundaries
Lecture 7 Lecture 3: Effective Delegation
Section 3: Managing Digital Distractions
Lecture 8 Lecture 1: Minimize Digital Overload
Lecture 9 Lecture 2: Productivity Tools
Lecture 10 Lecture 3: Digital Balance Plan
Section 4: Self-Care and Mindfulness
Lecture 11 Lecture 1: Daily Self-Care
Lecture 12 Lecture 2: Mindfulness at Work
Lecture 13 Lecture 3: Building Resilience
Section 5: Sustainable Balance Plan
Lecture 14 Lecture 1: Create Your Plan
Lecture 15 Lecture 2: Adapt and Evolve
Lecture 16 Lecture 3: Track Progress
Section 6: Conclusion
Lecture 17 Key Takeaways and Next Steps
Professionals Experiencing Burnout: If you're feeling exhausted, unmotivated, or overwhelmed by work demands, this course will help you regain control and energy.,Managers and Leaders: Learn to identify burnout in yourself and your team, and create a supportive environment that fosters well-being and productivity.,Aspiring Leaders: Equip yourself with the tools to manage stress and build resilience as you take on greater responsibilities.,Remote Workers: Understand the unique challenges of balancing work and personal life in remote or hybrid settings.,HR Professionals: Gain insights and strategies to support employees in managing stress and preventing burnout in the workplace.,Anyone Seeking Work-Life Balance: Whether you're starting your career or juggling multiple roles, this course offers actionable strategies to help you thrive.

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Free Download Algebra 1 - Master Key Algebra Techniques
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.06 GB | Duration: 11h 0m
A Complete Course in Key Algebra Techniques

What you'll learn
Algebraic Expressions
Algebraic Operations
Equations, Inequations & Simultaneous Equations
Functions & Graphs
Mathematical Sequences
Exponents & Radicals
Requirements
Students can take this course with no previous algebra experience but good numeracy would be helpful.
Description
Algebra is a key Math skill that is used in all Math courses and many other disciplines. Algebra is like grammar, punctuation and spelling in English - key skills without which you wouldn't be able to write a great essay. The trick with learning algebra is to start small and build your skills slowly. In this course we begin with some basic algebra moves like simplifying algebraic expressions and grow skills one at a time. Before long you'll be solving equations, creating graphs and working with Mathematical functions. This Course is For YouI created this course to help you master Precalculus through clear instructional videos and relevant practice questions. There are many reasons why you might want to take this course:To learn Precalculus from scratch For additional support if you're taking Precalculus in school or collegeTo help you prep for a Precalculus assessment To review key techniques To access more than 300 relevant practice questions with full solutions As prep for taking further Math courses such as Calculus 1 or Calculus 2To access 11 hours of instructional videoWhatever your reason this course will help you build key skills and confidence quickly. What You'll Take Away From This CoursePrecalculus is a challenging but rewarding course with a lot of content. By mastering some core techniques you'll be able to answer a wide variety of questions both in class and in the real-world. Each instructional video teaches one primary skill and mixes a small amount of theory with example problems. You will then practice what you've learnt in the end of section review exercise. I've also included step-by-step solutions so you can check your work as you go. Take this course and you will learn:The foundations of Mathematical functionsCore function techniques such as composite / inverse functions, function graphs, and domain / rangeEquation solving skills - a fundamental Math skill at all levels Polynomials - one of the most common types of functionSpecific functions such as exponentials / logarithms / trigonometric Mathematical series - a key concept / techniques for more advanced Math courses
Overview
Section 1: Working with Numbers
Lecture 1 Number Types
Lecture 2 Sets
Lecture 3 Venn Diagrams
Lecture 4 Working with Infinity
Lecture 5 Dividing by Zero
Lecture 6 Square-Rooting a Negative Number
Lecture 7 Test Your Knowledge
Section 2: Exponents and Radicals
Lecture 8 Working with Exponents
Lecture 9 Exponent Rules
Lecture 10 Negative Powers and Power of Zero
Lecture 11 Fractional Powers
Lecture 12 Radicals (Surds)
Lecture 13 Adding and Subtracting Radicals
Lecture 14 Multiplying and Dividing Radicals
Lecture 15 Rationalising Fractions
Lecture 16 Test Your Knowledge
Section 3: Algebraic Expressions
Lecture 17 Algebraic Formulae
Lecture 18 Using Algebraic Formulae
Lecture 19 Changing the Subject of a Formula
Lecture 20 Algebraic Expressions
Lecture 21 Simplifying Algebraic Expressions
Lecture 22 Working with Parentheses
Lecture 23 Factorising Using a Common Factor
Lecture 24 Test Your Knowledge
Section 4: Quadratic Expressions
Lecture 25 Starting Quadratic Expressions
Lecture 26 Factorising a Quadratic Expression Using a Common Factor
Lecture 27 Factorising a Quadratic Expression as a Difference of Two Squares
Lecture 28 Factorising a Quadratic Expression as a Trinomial
Lecture 29 Completed Square Form
Lecture 30 Test Your Knowledge
Section 5: Algebraic Fractions
Lecture 31 Simplifying Algebraic Fractions
Lecture 32 Multiplying & Dividing Algebraic Fractions
Lecture 33 Adding & Subtracting Algebraic Fractions
Lecture 34 Test Your Knowledge
Section 6: Equations and Inequations
Lecture 35 Solving Linear Equations
Lecture 36 Solving Equations with Parentheses
Lecture 37 Solving Inequations
Lecture 38 Solving Inequations - Multiplying or Dividing by a Negative
Lecture 39 Starting Systems of Equations
Lecture 40 Solving by Elimination of a Variable
Lecture 41 Solving More Complex Systems of Equations
Lecture 42 Test Your Knowledge
Section 7: Sequences
Lecture 43 Starting Sequences
Lecture 44 Sequences Rules
Lecture 45 Convergent and Divergent Sequences
Lecture 46 The Limit of a Sequence
Lecture 47 Arithmetic Sequences (Progressions)
Lecture 48 Geometric Sequences (Progressions)
Lecture 49 Test Your Knowledge
Section 8: Graphs
Lecture 50 Cartesian Co-ordinate System
Lecture 51 Straight Lines in the X-Y Plane
Lecture 52 The Gradient (Slope) of a Straight-Line Graph
Lecture 53 The Equation of a Straight-Line Graph
Lecture 54 Finding the X and Y intercepts of a Straight-Line Graph
Lecture 55 Horizontal and Vertical Lines
Lecture 56 Sketching Straight-Line Graphs
Lecture 57 Writing the Equation of a Straight-Line from its Graph
Lecture 58 Test Your Knowledge
Section 9: Functions
Lecture 59 Starting Mathematical Functions
Lecture 60 Types of Function
Lecture 61 Graphs of Functions
Lecture 62 Maximum and Minimum Values
Lecture 63 Domain and Range of a Function
Lecture 64 Average Rate of Change of a Function
Lecture 65 Test Your Knowledge
Section 10: Quadratic Functions
Lecture 66 Starting Quadratic Functions
Lecture 67 The Graph of Quadratic Functions
Lecture 68 Solving Quadratic Equations by Factorising Trinomials
Lecture 69 Solving Quadratic Equations Using Completed Square Form
Lecture 70 Solving Quadratic Equations using the Quadratic Formula
Lecture 71 The Discriminant for Quadratic Equations
Lecture 72 Graphical Interpretation of Quadratic Equations
Lecture 73 The Roots of Graphs of Quadratic Functions
Lecture 74 The Turning Point of Graphs of Quadratic Functions
Lecture 75 The Y-Intercept of Graphs of Quadratic Functions
Lecture 76 The Axis of Symmetry of the Graph of a Quadratic Function
Lecture 77 Test Your Knowledge
Section 11: Additional Resources
Lecture 78 Algebra 1 Practice Exam
Lecture 79 Algebra 1 Formula List
Students who need to learn key algebra techniques,Students looking for a complete core in key algebra techniques,Students reviewing key algebra techniques for a test or assignment,Students looking for relevant practice questions with full step-by-step solutions,Students who want to become confident in using algebra,Students who want a solid foundation for Pre-Calculus and Calculus

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Free Download Apache Spark and PySpark for Data Engineering and Big Data
Published 11/2024
Created by Uplatz Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lectures ( 45h 51m ) | Size: 20 GB

Learn Apache Spark and PySpark to build scalable data pipelines, process big data, and implement effective ML workflows.
What you'll learn
Understand Big Data Fundamentals: Explain the key concepts of big data and the evolution from Hadoop to Spark.
Learn Spark Architecture: Describe the core components and architecture of Apache Spark, including RDDs, DataFrames, and Datasets.
Set Up Spark: Install and configure Spark in local and standalone modes for development and testing.
Write PySpark Programs: Create and run PySpark applications using Python, including basic operations on RDDs and DataFrames.
Master RDD Operations: Perform transformations and actions on RDDs, such as map, filter, reduce, and groupBy, while leveraging caching and persistence.
Work with SparkContext and SparkSession: Understand their roles and effectively manage them in PySpark applications.
Work with DataFrames: Create, manipulate, and optimize DataFrames for structured data processing.
Run SQL Queries in SparkSQL: Use SparkSQL to query DataFrames and integrate SQL with DataFrame operations.
Handle Various Data Formats: Read and write data in formats such as CSV, JSON, Parquet, and Avro while optimizing data storage with partitioning and bucketing.
Build Data Pipelines: Design and implement batch and real-time data pipelines for data ingestion, transformation, and aggregation.
Learn Spark Streaming Basics: Process real-time data using Spark Streaming, including working with structured streaming and integrating with Kafka.
Optimize Spark Applications: Tune Spark applications for performance by understanding execution models, DAGs, shuffle operations, and memory management.
Leverage Advanced Spark Features: Utilize advanced DataFrame operations, including joins, aggregations, and window functions, for complex data transformations.
Explore Spark Internals: Gain a deep understanding of Spark's execution model, Catalyst Optimizer, and techniques like broadcasting and partitioning.
Learn Spark MLlib Basics: Build machine learning pipelines using Spark MLlib, applying algorithms like linear regression and logistic regression.
Develop Real-Time Streaming Applications: Implement stateful streaming, handle late data, and manage fault tolerance with checkpointing in Spark Streaming.
Work on Capstone Projects: Design and implement an end-to-end data pipeline, integrating batch and streaming data processing with machine learning.
Prepare for Industry Roles: Apply Spark to real-world use cases, enhance resumes with Spark skills, prepare for technical interviews in data and ML engineering.
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome to the Apache Spark and PySpark for Data Engineering and Big Data course by Uplatz.Apache Spark is like a super-efficient engine for processing massive amounts of data. Imagine it as a powerful tool that can handle information that's way too big for a single computer to deal with. It does this by distributing the work across a cluster of computers, making the entire process much faster.Spark and PySpark provide a powerful and efficient way to process and analyze large datasets, making them essential tools for data scientists, engineers, and anyone working with big data.Key features of Spark that make it special:Speed: Spark can process data incredibly fast, even petabytes of it, because it distributes the workload and does a lot of the processing in memory.Ease of Use: Spark provides simple APIs in languages like Python, Java, Scala, and R, making it accessible to a wide range of developers.Versatility: Spark can handle various types of data processing tasks, including:Batch processing: Analyzing large datasets in bulk.Real-time streaming: Processing data as it arrives, like social media feeds or sensor data.Machine learning: Building and training AI models.Graph processing: Analyzing relationships between data points, like in social networks.PySpark is specifically designed for Python users who want to harness the power of Spark. It's essentially a Python API for Spark, allowing you to write Spark applications using familiar Python code.How PySpark brings value to the table:Pythonic Interface: PySpark lets you interact with Spark using Python's syntax and libraries, making it easier for Python developers to work with big data.Integration with Python Ecosystem: You can seamlessly integrate PySpark with other Python tools and libraries, such as Pandas and NumPy, for data manipulation and analysis.Community Support: PySpark has a large and active community, providing ample resources, tutorials, and support for users.Apache Spark and PySpark for Data Engineering and Big Data - Course CurriculumThis course is designed to provide a comprehensive understanding of Spark and PySpark, from basic concepts to advanced implementations, to ensure you well-prepared to handle large-scale data analytics in the real world. The course includes a balance of theory, hands-on practice including project work.Introduction to Apache SparkIntroduction to Big Data and Apache Spark, Overview of Big DataEvolution of Spark: From Hadoop to SparkSpark Architecture OverviewKey Components of Spark: RDDs, DataFrames, and DatasetsInstallation and SetupSetting Up Spark in Local Mode (Standalone)Introduction to the Spark Shell (Scala & Python)Basics of PySparkIntroduction to PySpark: Python API for SparkPySpark Installation and ConfigurationWriting and Running Your First PySpark ProgramUnderstanding RDDs (Resilient Distributed Datasets)RDD Concepts: Creation, Transformations, and ActionsRDD Operations: Map, Filter, Reduce, GroupBy, etc.Persisting and Caching RDDsIntroduction to SparkContext and SparkSessionSparkContext vs. SparkSession: Roles and ResponsibilitiesCreating and Managing SparkSessions in PySparkWorking with DataFrames and SparkSQLIntroduction to DataFramesUnderstanding DataFrames: Schema, Rows, and ColumnsCreating DataFrames from Various Data Sources (CSV, JSON, Parquet, etc.)Basic DataFrame Operations: Select, Filter, GroupBy, etc.Advanced DataFrame OperationsJoins, Aggregations, and Window FunctionsHandling Missing Data and Data Cleaning in PySparkOptimizing DataFrame OperationsIntroduction to SparkSQLBasics of SparkSQL: Running SQL Queries on DataFramesUsing SQL and DataFrame API TogetherCreating and Managing Temporary Views and Global ViewsData Sources and FormatsWorking with Different File Formats: Parquet, ORC, Avro, etc.Reading and Writing Data in Various FormatsData Partitioning and BucketingHands-on Session: Building a Data PipelineDesigning and Implementing a Data Ingestion PipelinePerforming Data Transformations and AggregationsIntroduction to Spark StreamingOverview of Real-Time Data ProcessingIntroduction to Spark Streaming: Architecture and BasicsAdvanced Spark Concepts and OptimizationUnderstanding Spark InternalsSpark Execution Model: Jobs, Stages, and TasksDAG (Directed Acyclic Graph) and Catalyst OptimizerUnderstanding Shuffle OperationsPerformance Tuning and OptimizationIntroduction to Spark Configurations and ParametersMemory Management and Garbage Collection in SparkTechniques for Performance Tuning: Caching, Partitioning, and BroadcastingWorking with DatasetsIntroduction to Spark Datasets: Type Safety and PerformanceConverting between RDDs, DataFrames, and DatasetsAdvanced SparkSQLQuery Optimization Techniques in SparkSQLUDFs (User-Defined Functions) and UDAFs (User-Defined Aggregate Functions)Using SQL Functions in DataFramesIntroduction to Spark MLlibOverview of Spark MLlib: Machine Learning with SparkWorking with ML Pipelines: Transformers and EstimatorsBasic Machine Learning Algorithms: Linear Regression, Logistic Regression, etc.Hands-on Session: Machine Learning with Spark MLlibImplementing a Machine Learning Model in PySparkHyperparameter Tuning and Model EvaluationHands-on Exercises and Project WorkOptimization Techniques in PracticeExtending the Mini-Project with MLlibReal-Time Data Processing and Advanced StreamingAdvanced Spark Streaming ConceptsStructured Streaming: Continuous Processing ModelWindowed Operations and Stateful StreamingHandling Late Data and Event Time ProcessingIntegration with KafkaIntroduction to Apache Kafka: Basics and Use CasesIntegrating Spark with Kafka for Real-Time Data IngestionProcessing Streaming Data from Kafka in PySparkFault Tolerance and CheckpointingEnsuring Fault Tolerance in Streaming ApplicationsImplementing Checkpointing and State ManagementHandling Failures and Recovering Streaming ApplicationsSpark Streaming in ProductionBest Practices for Deploying Spark Streaming ApplicationsMonitoring and Troubleshooting Streaming JobsScaling Spark Streaming ApplicationsHands-on Session: Real-Time Data Processing PipelineDesigning and Implementing a Real-Time Data PipelineWorking with Streaming Data from Multiple SourcesCapstone Project - Building an End-to-End Data PipelineProject IntroductionOverview of Capstone Project: End-to-End Big Data PipelineDefining the Problem Statement and Data SourcesData Ingestion and PreprocessingDesigning Data Ingestion Pipelines for Batch and Streaming DataImplementing Data Cleaning and Transformation WorkflowsData Storage and ManagementStoring Processed Data in HDFS, Hive, or Other Data StoresManaging Data Partitions and Buckets for PerformanceData Analytics and Machine LearningPerforming Exploratory Data Analysis (EDA) on Processed DataBuilding and Deploying Machine Learning ModelsReal-Time Data ProcessingImplementing Real-Time Data Processing with Structured StreamingIntegrating Streaming Data with Machine Learning ModelsPerformance Tuning and OptimizationOptimizing the Entire Data Pipeline for PerformanceEnsuring Scalability and Fault ToleranceIndustry Use Cases and Career PreparationIndustry Use Cases of Spark and PySparkDiscussing Real-World Applications of Spark in Various IndustriesCase Studies on Big Data Analytics using SparkInterview Preparation and Resume BuildingPreparing for Technical Interviews on Spark and PySparkBuilding a Strong Resume with Big Data SkillsFinal Project PreparationPresenting the Capstone Project for Resume and Instructions helpLearning Spark and PySpark offers numerous benefits, both for your skillset and your career prospects. By learning Spark and PySpark, you gain valuable skills that are in high demand across various industries. This knowledge can lead to exciting career opportunities, increased earning potential, and the ability to tackle challenging data problems in today's data-driven world.Benefits of Learning Spark and PySparkHigh Demand Skill: Spark and PySpark are among the most sought-after skills in the big data industry. Companies across various sectors rely on these technologies to process and analyze their data, creating a strong demand for professionals with expertise in this area.Increased Earning Potential: Due to the high demand and specialized nature of Spark and PySpark skills, professionals proficient in these technologies often command higher salaries compared to those working with traditional data processing tools.Career Advancement: Mastering Spark and PySpark can open doors to various career advancement opportunities, such as becoming a Data Engineer, Big Data Developer, Data Scientist, or Machine Learning Engineer.Enhanced Data Processing Capabilities: Spark and PySpark allow you to process massive datasets efficiently, enabling you to tackle complex data challenges and extract valuable insights that would be impossible with traditional tools.Improved Efficiency and Productivity: Spark's in-memory processing and optimized execution engine significantly speed up data processing tasks, leading to improved efficiency and productivity in your work.Versatility and Flexibility: Spark and PySpark can handle various data processing tasks, including batch processing, real-time streaming, machine learning, and graph processing, making you a versatile data professional.Strong Community Support: Spark and PySpark have large and active communities, providing ample resources, tutorials, and support to help you learn and grow.Career ScopeData Engineer: Design, build, and maintain the infrastructure for collecting, storing, and processing large datasets using Spark and PySpark.Big Data Developer: Develop and deploy Spark applications to process and analyze data for various business needs.Data Scientist: Utilize PySpark to perform data analysis, machine learning, and statistical modeling on large datasets.Machine Learning Engineer: Build and deploy machine learning models using PySpark for tasks like classification, prediction, and recommendation.Data Analyst: Analyze large datasets using PySpark to identify trends, patterns, and insights that can drive business decisions.Business Intelligence Analyst: Use Spark and PySpark to extract and analyze data from various sources to generate reports and dashboards for business intelligence.
Who this course is for
Data Engineers: Professionals seeking to build scalable big data pipelines using Apache Spark and PySpark.
Machine Learning Engineers: Engineers aiming to integrate big data frameworks into machine learning workflows for distributed model training and prediction.
Anyone aspiring for a career in Data Engineering, Big Data, Data Science, and Machine Learning.
Data Scientists: Those looking to process and analyze large datasets efficiently using Spark's advanced capabilities.
Newbies and beginners interested in data engineering, machine learning, AI research, and data science.
ETL Developers: Developers interested in transitioning from traditional ETL tools to modern, distributed big data processing systems.
Solution Architects: Professionals who design enterprise-level solutions and need expertise in scalable big data frameworks.
Data Architects: Experts responsible for designing data systems who want to incorporate Spark into their architecture for performance and scalability.
Software Engineers: Developers moving into data-intensive applications or big data engineering roles.
IT Professionals: Generalists looking to expand their knowledge of distributed computing and big data frameworks.
Students and Fresh Graduates: Aspiring data engineers, scientists, or analysts with foundational programming knowledge, eager to enter the big data space.
Database Administrators: DBAs aiming to understand modern big data processing to complement their database expertise.
Technical Managers and Architects: Leaders who need a foundational understanding of Spark and PySpark to manage teams and projects effectively.
Cloud Engineers: Engineers developing data workflows on cloud platforms like AWS, Azure, or Google Cloud.
Homepage

https://www.udemy.com/course/apache-spark-and-pyspark/

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Free Download Applying Psychology In Human Resources Management
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.07 GB | Duration: 4h 21m
Unleash the Power of Psychological Insights in HR Management: Transform Your Strategies and Elevate Your Workplace

What you'll learn
Leveraging psychological theories for employee motivation and engagement
Navigating organizational behavior dynamics to optimize team performance
Cultivating effective leadership styles and nurturing high-performing teams
Implementing robust performance management strategies and feedback mechanisms
Promoting employee well-being, managing stress, and fostering work-life balance
Resolving conflicts, fostering inclusivity, and addressing unconscious biases
Anticipating and adapting to future trends in HR management through predictive analytics
Requirements
Proficiency in English: This course is conducted in English, with English-language slides provided. You should have the ability to comprehend spoken English effectively, along with the provided scripts, to fully engage in the course content.
Access to Electronic Devices: You should possess electronic devices capable of opening PDF and MS Word documents. This will ensure that you can access supplementary materials and resources provided throughout the course for a comprehensive learning experience.
Description
This course is meticulously crafted to equip you with the expertise and methodologies essential for harnessing psychology in HR management effectively.Whether you're a seasoned HR professional striving for advancement or an aspiring leader seeking to revolutionize workplace dynamics, this course is your gateway to mastering psychological principles and propelling organizational success.Throughout our journey, you'll delve deep into the heart of HR psychology, discovering the intrinsic value it brings to every facet of people management. From deciphering employee motivations to fostering inclusive cultures, each module is meticulously designed to empower you with actionable insights and strategies that drive tangible results.Guided by industry-leading expertise, including insights from an Occupational Psychologist and Corporate Trainer, you'll embark on a transformative learning experience. Through immersive exercises and real-world case studies, you'll hone your skills in:- Understanding and leveraging psychological theories for employee motivation and engagement.- Navigating organizational behavior dynamics to optimize team performance.- Cultivating effective leadership styles and nurturing high-performing teams.- Implementing robust performance management strategies and feedback mechanisms.- Promoting employee well-being, managing stress, and fostering work-life balance.- Resolving conflicts, fostering inclusivity, and addressing unconscious biases.- Upholding ethical standards and navigating legal complexities in HR practices.- Anticipating and adapting to future trends in HR management through predictive analytics.This course is not merely informative; it's transformative. By embracing psychological insights in HR management, you'll unlock the full potential of your workforce and pave the way for sustainable organizational growth and prosperity. Whether you're embarking on a career in HR, seeking to enhance your leadership capabilities, or aiming to revolutionize your organization's HR practices, this course is your definitive roadmap to success. Join us and embark on a journey of empowerment and innovation in HR management today.
Overview
Section 1: Course Overview and Introduction to Psychological Principles in HR Management
Lecture 1 Introduction and Overview of the course objectives and structure
Lecture 2 Importance of psychology in HR management
Lecture 3 Brief overview of key psychological theories applicable to HR
Section 2: Understanding Employee Motivation
Lecture 4 Theories of motivation: Maslow's Hierarchy of Needs, Herzberg's Two-Factor Theor
Lecture 5 Factors influencing employee motivation in the workplace
Lecture 6 Strategies for enhancing employee motivation and engagement
Section 3: Organizational Behavior and Culture
Lecture 7 Introduction to organizational behavior
Lecture 8 Individual and group behavior in organizations
Lecture 9 Impact of organizational culture on employee attitudes and behaviors
Section 4: Psychological Perspectives on Leadership and Team Dynamics
Lecture 10 Psychological theories of leadership: Trait theory, Behavioral theory, and Situa
Lecture 11 Effective leadership styles and their influence on team dynamics
Lecture 12 Effective leadership styles and their influence on team dynamics (Cont'd)
Lecture 13 Building and managing high-performing teams
Section 5: Performance Management and Feedback
Lecture 14 Principles of performance management
Lecture 15 Principles of performance management (Cont'd)
Lecture 16 Principles of performance management (Cont'd)
Lecture 17 Setting SMART goals and objectives
Lecture 18 Setting SMART goals and objectives (Cont'd)
Lecture 19 Setting SMART goals and objectives (Cont'd)
Lecture 20 Providing constructive feedback and managing performance appraisals
Lecture 21 Providing constructive feedback and managing performance appraisals (Cont'd)
Section 6: Employee Well-being and Stress Management
Lecture 22 Understanding stress and its impact on employee well-being
Lecture 23 Strategies for promoting well-being and managing stress in workplace
Lecture 24 Strategies for promoting well-being and managing stress in workplace (Cont'd)
Lecture 25 Implementing work-life balance initiatives
Lecture 26 Implementing work-life balance initiatives (Cont'd)
Section 7: Conflict Resolution and Negotiation
Lecture 27 Types of workplace conflicts and their causes
Lecture 28 Types of workplace conflicts and their causes (Cont'd)
Lecture 29 Types of workplace conflicts and their causes (Cont'd)
Lecture 30 Strategies for resolving conflicts and fostering a positive work environment
Lecture 31 Negotiation techniques for HR professionals
Lecture 32 Negotiation techniques for HR professionals (Cont'd)
Section 8: Diversity, Equity, and Inclusion (DEI) in HR Practices
Lecture 33 Importance of diversity, equity, and inclusion in HR management
Lecture 34 Importance of diversity, equity, and inclusion in HR management (Contd)
Lecture 35 Strategies for promoting DEI in organization practices
Lecture 36 Addressing unconscious bias in HR processes
Lecture 37 Addressing unconscious bias in HR processes (Cont'd)
Section 9: Ethics and Legal Considerations in HR Management
Lecture 38 Ethical principles in HR decision-making
Lecture 39 Ethical principles in HR decision-making (Cont'd)
Lecture 40 Compliance with labor laws and regulations
Lecture 41 Compliance with labor laws and regulations (Cont'd)
Lecture 42 Handling ethical dilemmas in HR practices
Lecture 43 Handling ethical dilemmas in HR practices (Cont'd)
Section 10: Future Trends in Psychological HR Management
Lecture 44 Emerging trends and technologies shaping the future of HR management
Lecture 45 Emerging trends and technologies shaping the future of HR management (Cont'd)
Lecture 46 Predictive analytics in HR decision-making
Lecture 47 Strategies for staying agile and adaptable in the evolving HR landscape
Lecture 48 Strategies for staying agile and adaptable in the evolving HR landscape (Cont'd)
Section 11: Closing
Lecture 49 Closing
HR Professionals and Practitioners: Whether seasoned or new to HR, gain advanced psychological insights.,Managers and Team Leaders: Optimize motivation, improve dynamics, and drive success.,Business Owners and Entrepreneurs: Build strong cultures and maximize workforce potential.,Students and Aspiring HR Professionals: Gain foundational knowledge for future success in HR.

Homepage

https://www.udemy.com/course/applying-psychology-in-human-resources-management/

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Free Download Arquitetura de Microsservicos - Padrao Saga Orquestrado
Last updated 10/2023
Created by Victor Hugo Negrisoli
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: Portuguese + subtitle | Duration: 65 Lectures ( 11h 7m ) | Size: 6.45 GB

Com Java 17, Spring Boot 3, Apache Kafka, PostgreSQL, MongoDB, Docker e docker-compose!
What you'll learn
Conceitos, abordagens e estratégias para tratamento de transações distribuídas
Conceitos, abordagens e estratégias para implementação do padrão Saga Orquestrado
Conceitos, abordagens e estratégias para implementação de uma arquitetura orientada a eventos
Implementação de padrão Saga Orquestrado com Java 17, Spring Boot 3 e Apache Kafka
Utilização dos bancos de dados MongoDB e PostgreSQL numa arquitetura Saga
Boas práticas de implementações de padrões em microsserviços
Implementação do Padrão Saga Coreografado (Seção bônus ao final do curso)
Requirements
Conhecimento básico em Java 1.8+ e no framework Spring Boot
Conhecimento básico em Docker e docker-compose
Conhecimento básico em API REST e Microsserviços
Conhecimento básico sobre mensagerias e Message Brokers
Description
Neste curso, serão abordados os conceitos de padrões de desenvolvimento de arquitetura de microsserviços em um de seus quesitos mais importantes: lidar com transações distribuídas e tratamento de falhas.Iremos abordar os conceitos teóricos por trás de transações distribuídas, two-phase commit protocol (2PC), padrão Saga Orquestrado e Coreografado, e padrão Outbox.Neste curso, implementaremos o padrão Saga Orquestrado em uma arquitetura de microsserviços com Java 17 e Spring Boot 3.Para isso, utilizaremos Docker e docker-compose para subir toda a nossa arquitetura com facilidade.Utilizaremos 2 bancos de dados, PostgreSQL e MongoDB.Utilizaremos o Apache Kafka para a comunicação dos eventos e orquestração da nossa saga.Criaremos 5 APIs, em que uma será apenas o orquestrador da saga, 3 microsserviços participantes e um microsserviços de realização de pedido.Ao final deste curso, você compreenderá as diferenças entre os padrões de microsserviços, os conceitos de transações distribuídas, e como realizar tratativa de erros em diversos serviços, assim como sua implementação.Você também estará apto a desenvolver aplicações distribuídas com orientação a eventos (Apache Kafka) e trabalhar com Java 17 e o framework Spring Boot na versão 3, porém, o conteúdo do curso é sobre um padrão de arquitetura, e não sobre uma tecnologia específica, ou seja, com o conhecimento adquirido, você conseguirá aplicar a mesma abordagem em qualquer outra tecnologia que permita o desenvolvimento de microsserviços.SEÇÃO BÔNUS Foi adicionada a Seção 11 como um bônus, realizando a conversão de toda a arquitetura desenvolvida para o Padrão Saga Coreografado, desta forma, os alunos terão o conhecimento de como implementar as duas abordagens do Padrão Saga, e também compreenderão quando implementar cada abordagem dependendo da necessidade.
Who this course is for
Desenvolvedores Back-End (nível intermediário)
Desenvolvedores Java (nível intermediário)
Desenvolvedores que atuam com microsserviços e/ou aplicações distribuídas
Homepage

https://www.udemy.com/course/arquitetura-de-microsservicos-padrao-saga-orquestrado/

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Free Download Autocad Structural Drawing - Civil Engineering-Submission Dwg
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.86 GB | Duration: 2h 39m
Copoun Code-CIVIL01--STRUCTURAL DRAWING-SUBMISSION DRAWING-CIVIL ENGINEERING-HOW TO DRAW STRUCTURAL DRAWING IN AUTOCAD

What you'll learn
CIVIL ENGINNER
AUTOCAD STRUCTURAL DRAWING
DRAUGHTMEN
CIVIL CONSULTANCY FIRM SUBMISSION DRAWING
Requirements
NO EXPERINCE REQUIRED
Description
How the Course Will FlowWe will understand the Science Behind Building Planning and a few theories regarding the types of buildings.We will start to work on the Live Residential Building Project and Start to plan it by creating a line Diagram - Plan - Section - ElevationThe outcome of the CourseStudents Will be able to Draw their first-line diagram of the building with Concepts of Space planning and create them on AutoCAD With Plan - Elevation - SectionAll the Above Dream of Becoming a professional AutoCAD Draftsman and Starting your Consultancy or First Freelancing Work will happen if you practice this Software's DailyWorking on Live Projects -Start your 1st Project from Scratch with PlanningPrinciples of Buildings & How to Make Basic Planning for BuildingLive Project - Draw your 1st Plan of a House with ConfidenceLive Project 1- Draw Elevation & Section of 2BHK House-Hurray!!!Structural Drawing Preparation for Residential BuildingBasic Knowledge of Structural Drawing in AutoCADPreparation of Footing Structural Drawing in AutoCAD -Live projectPreparing Structural Drawing of Footing & Column ReinforcementPreparing Plinth Beam Layout in AutoCAD -HurrayWho this course is for:AutoCAD ProfessionalsCivil EngineersArchitectural StudentsInterior DesignersStructural EngineersAll Other Students & learners interested to Start their Freelancing AutoCAD Works
Overview
Section 1: COLUMN & FOOTING
Lecture 1 PART 2
Lecture 2 PART 1
Lecture 3 Footing Concept
Lecture 4 Column & Footing Center Line/Layout Plan(PART 1)
Lecture 5 Column & Footing Center Line/Layout Plan(PART 2)
Section 2: BEAM
Lecture 6 PART 1
Lecture 7 PART 2
Lecture 8 Stirrup Concept
CIVIL ENGINEERS

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Free Download Bank Reconciliation Statement - Complete Guide Simple Steps
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 520.38 MB | Duration: 2h 18m
Mastering Bank Reconciliation: Techniques for Accurate Financial Statements and Seamless Cash Flow Management

What you'll learn
Introduction to Bank Reconciliation Statements
Understanding the Need for Bank Reconciliation
Components of a Bank Reconciliation Statement
Step-by-Step Process for Preparing a BRS
Types of Reconciling Items
Methods of Preparing Bank Reconciliation Statement
Practical Techniques for Bank Reconciliation
Journal Entries after preparing bank reconciliation statement
Learning with Examples
Requirements
No Requirement
Description
Welcome to the Bank Reconciliation Statement course! I'm thrilled to have you here as we embark on this journey to demystify one of the most essential financial processes in accounting and business management. Whether you're a student, a professional, or a business owner, this course will equip you with the knowledge and skills to confidently prepare accurate bank reconciliations, resolve discrepancies, and maintain precise financial records. Together, we'll explore step-by-step techniques, real-world examples, and practical tools that will make mastering bank reconciliation an engaging and rewarding experience. Let's dive in and build your expertise!Course FocusProviding a comprehensive understanding of bank reconciliation statements and their importance in financial accuracy.Teaching step-by-step techniques for identifying, analyzing, and resolving discrepancies between cash book and bank statement balances.Equipping learners with practical skills to prepare journal entries and maintain up-to-date financial records.Course ObjectivesExplain the purpose and significance of bank reconciliation in financial management.Break down the components of a bank reconciliation statement and their functions.Guide learners through the step-by-step process of preparing a bank reconciliation statement.Identify and address various types of reconciling items effectively.Demonstrate practical techniques for handling complex reconciliation scenarios.Teach the preparation of journal entries post-reconciliation to update accounting records accurately.Intended AudienceAccounting students and finance professionals seeking to strengthen their reconciliation skills.Small business owners who manage their own finances.Bookkeepers and administrative staff responsible for financial record-keeping.Anyone interested in improving their understanding of financial management processes.Learning ApproachStructured, step-by-step explanations of concepts and techniques.Real-world examples to illustrate common scenarios and solutions.Practical exercises to apply and reinforce learning.Clear and engaging delivery to make the material accessible and easy to understand.Downloadable resources, templates, and tools to support learning beyond the course.
Overview
Section 1: Course Introduction
Lecture 1 Introduction
Section 2: Introduction to Bank Reconciliation Statements (BRS)
Lecture 2 What is Bank Reconciliation Statement (BRS)?
Lecture 3 Key Terms and Concepts Related to Bank Reconciliation
Section 3: Understanding the Need for Bank Reconciliation
Lecture 4 Common Reasons for Discrepancies
Lecture 5 Consequences of Neglecting Reconciliation Processes
Section 4: Step-by-Step Process for Preparing a BRS
Lecture 6 Gathering Required Data: Bank Statement and Cash Book
Lecture 7 Identifying and Classifying Differences
Lecture 8 Adjusting Records for Reconciliation
Section 5: Reconciling Items in Bank Reconciliation Statement
Lecture 9 Deposit in Transit
Lecture 10 Outstanding Checks
Lecture 11 Bank Charges and Fees
Lecture 12 NSF Checks (Non-Sufficient Fund)
Lecture 13 Direct Debits
Lecture 14 Direct Credits
Lecture 15 Errors in Recording
Section 6: Methods of Preparing Bank Reconciliation Statement
Lecture 16 Adjusted Balance Method of BRS
Lecture 17 Example -Adjusted Balance Method of BRS
Lecture 18 Bank Statement Method (or Reconciliation Statement Method)
Lecture 19 Example - Bank Statement Method
Lecture 20 Comprehensive Example
Lecture 21 Journal Entries After Preparing a Bank Reconciliation Statement
Lecture 22 Journal Entries - Comprehensive Example
Beginners

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Free Download Beeswax Ranunculus Flower Candle Making Online Course
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 34m | Size: 700 MB
Create one-of-a-kind, lifelike Ranunculus flower candles using organic materials

What you'll learn
You'll discover where to source all the essential tools and materials needed for candle making
Learn how to design a beautiful, handcrafted Ranunculus candle that's truly unique
Learn exclusive candle making techniques and tips
Learn how to make realistic Ranunculus flower candle
Requirements
Must be previous experience (main Peony course)
The materials and tools on this list come highly recommended, as they have been thoroughly tested for quality and effectiveness
Description
Beeswax "Ranunculus" Flower Candle Making Online CourseWelcome to our Beeswax "Ranunculus" Flower Candle Making Online Course! In this hands-on, step-by-step workshop, you'll learn how to create stunning, handcrafted candles in the shape of delicate Ranunculus flowers - all using the natural beauty of beeswax. Whether you're a beginner or an experienced candle maker, this course will guide you through the process of turning simple beeswax sheets into elegant, blooming masterpieces that are perfect for gift-giving or adding a touch of floral charm to any space.What You'll Learn:Ranunculus Flower Design: Learn how to shape and mold beeswax sheets into intricate, multi-layered Ranunculus flowers. You'll discover tips for achieving the perfect petal formation and bringing your flower design to life.Candle Wicking & Setting: Master the art of adding wicks to your candles and ensuring they burn cleanly and evenly.Tips & Tricks for Perfect Flowers: Get expert advice on how to perfect the details, from achieving realistic petal textures to perfecting the delicate finishing touches.Course Features:Video Tutorials: Clear, detailed video lessons that walk you through each step of the candle-making process.Downloadable Materials: Access to a full supply list to make your learning experience smooth and enjoyable.Lifetime Access: Once enrolled, you can revisit the lessons anytime, at your own pace, from anywhere in the world.Interactive Community: Join a supportive online community of fellow candle makers, share your creations, ask questions, and get feedback from instructors and peers.Why Beeswax "Ranunculus" Flower Candles?Beeswax candles are naturally hypoallergenic, non-toxic, and burn longer than regular paraffin candles.The "Ranunculus" design offers a gorgeous, unique way to celebrate nature's beauty in your candle making.Perfect for special occasions like birthdays, weddings, or as a unique, handmade gift.Whether you want to create beautiful, blooming candles for your own home or sell your creations to others, this course provides all the tools you need to bring your artistic vision to life. Ready to start crafting? Enroll today and begin your beeswax candle-making journey with us!
Who this course is for
This course is suitable for both beginners and professionals who want to learn the art of creating exclusive beeswax flower candles
For candle makers
For small business owners
For all who loves crafting and unique handmade gifts
For anyone looking to learn something new and unwind through crafting
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Free Download Beta Function from Reduction Formulae (Mathematics)
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 9m | Size: 384 MB
Beta Function from Reduction formulae

What you'll learn
Teaching Beta function from Reduction formula with Examples for Engineering and Graduate students
1.9 hours course with relation between Beta and Gamma function
Practice Example
5 minute videos
Teaching in soft and understanble language
Requirements
You will everything learn from basic
Basic of Mathematics
Description
Beta FunctionDefinition of Beta function Introduction to Beta functionBeta Function from Reduction formulaeExamples on Beta functionPractice questionsSolved examples on Beta function with explanationPPT videos on each TOPICRelation between on Beta and Gamma function Beta function is discussed from reduction formulae. In that there are some examples which cannot be discussed with reduction formulae. It has some limitation of reduction formulae. So, we are using Beta function in that case.The beta function is a mathematical function that is used to calculate probabilities and determine how likely two events are to happen at the same time. It is also used in mathematical statistics and probability theory.The beta function is closely related to the gamma function and binomial coefficients. It is also known as the Euler integral of the first kind.The beta function is used in many mathematical operations, including string theory, where it is used to compute scattering amplitudes. It is also used as a normalizing constant in the probability density functions of the F distribution and of the student's t distribution.The beta function was studied by Leonhard Euler and Adrien-Marie Legendre and was given its name by Jacques Binet.Beta
Who this course is for
Engineering and any graduate students
Homepage

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Free Download Body Transformation Bundle - Supersize Your Muscles
Sven Kohl, Alex Lorenz | Duration: 7:18 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 8,84 GB | Language: English
The Body Transformation Bundle is a progressive workout program to optimize muscle growth. The program has everything you need for maximum hypertrophy, combined in 3 levels with over 2 years of ongoing progress, built on scientific research. Includes a wide variety of training methods, with periodic tests, in a new layout.
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Free Download Brand Strategy Bootcamp - Develop Actionable Brand Strategies
Last updated 11/2023
Created by Scott Adam Lancaster | 26,000+ Students | Entrepreneur | #1 Fiverr Pro Branding Consultant
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 17 Lectures ( 2h 25m ) | Size: 2.64 GB

*FREE Brand Strategy Action Plan* Build Your Brand Strategy with the Leading Strategist for Startup Brands
What you'll learn
How to clearly communicate your brand's purpose, vision, mission, values & tagline.
A proven scientific formula to grow your brand successfully.
How to build insightful customer personas to communicate with your target customer effectively.
How to strategically out-think other brands & competition.
The 5 definitive laws of brand building.
How to develop a founder's mindset needed to build a successful brand.
How to verify your business idea and position it perfectly in the marketplace.
Which brand archetype if ideal for your brand, to give it character and personality.
Requirements
The desire to build a successful brand
A basic understanding of English.
The ability to follow a step-by-step process
Keynote or Powerpoint
Description
So you want to develop a successful brand strategy for your start up?If you're an ambitious founder & entrepreneur, you'll likely want to do things right.But starting a brand can be complex. There are so many moving pieces. And so much to think about.But how do you know if your brand strategy will work?Well what if I could guarantee your brand's strategic success?And all you need to do is follow our step-by-step process.This is my guarantee to you. If you're not 110% confident that your brand strategy is perfect by the end of this course, I'll personally support you and help you perfect it. I carefully developed a professional brand strategy action template to help you effortlessly create an effective strategy to help your brand succeed.I can make this promise because I've been using the exact methods in this course for over a decade now. And my proven framework to help any entrepreneur create a successful brand strategy has helped create, develop and launch thousands of brands over the years. Many generating millions in revenue and often being out of stock due to overwhelming demand.This course will teach you how to develop a brand strategy that actually works.And best of all, this course is the first of our 5 course Brand Builder Pro 2.0 Program to help you build a successful & desirable brand from scratch. The program has been developed to guide you step-by step through every stage of creating your brand.Other courses in the Brand Builder Pro 2.0 Program include:Visual Brand ExpressionDigital Presence & Website DevelopmentStrategic Marketing& Brand ManagementDon't worry. We will guide you every step of the way. So just sit back, relax and enjoy our proven process. I look forward to seeing you very soon. Scott Lancaster, Founder of Clementine House Branding Agency
Who this course is for
Entrepreneurs & Founders wanting to develop a successful brand communication strategy
Homepage

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Free Download Business Analyst Foundations - Your Career-Ready Guide!
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 578.57 MB | Duration: 2h 0m
Business Analysis Fundamentals: Skills, Tools, and Real-World Techniques to Launch Your Career as a Business Analyst!

What you'll learn
Kick-start your career as a Business Analyst: The role, responsibilities, and key practices
Leverage AI for smarter business decisions
Develop communication, critical thinking and problem-solving skills
Apply best practices to real-world business analysis scenarios
Learn essential tools and techniques for effective requirement gathering
Understand key concepts and methodologies in Business Analysis
Requirements
No Prior Experience Needed: This course is designed for absolute BEGINNERS interested in becoming a Business Analyst.
Description
Are you ready to embark on an exciting journey into the world of Business Analysis? Whether you're looking to kickstart a new career, enhance your current role, or gain practical skills to thrive in today's competitive job market, this beginner-friendly course has everything you need.In this course, you williscover Business Analysis Basics: Understand what Business Analysis is and why it's critical for businesses to thrive.Develop Core Skills: Learn analytical thinking, problem-solving, communication, and stakeholder management techniques.Master Requirements Gathering: Use proven methods like interviews, workshops, and surveys to capture and document requirements accurately.Understand Prioritization Techniques: Focus on high-impact objectives with tools like SWOT, MoSCoW, and the Impact vs. Effort Matrix.Leverage AI for Smarter Analysis: Explore cutting-edge tools and methods like Machine Learning, Predictive Analytics, and Natural Language Processing.Gain Real-World Experience: Work through case studies, practical exercises, and simulations to apply what you learn immediately.Prepare for Career Growth: Get guidance on certifications, networking, and building the skills employers want.Why Take This Course?Business Analysts are in high demand, with roles offering excellent earning potential and opportunities for growth across industries. By mastering the fundamentals of Business Analysis, you'll unlock doors to exciting roles like Business Analyst, Systems Analyst, and more.This course includes:Comprehensive, beginner-friendly lessonsReal-world case studies and examplesDownloadable resourcesHands-on quizzesBackground music: "Spark Of Inspiration" by Shane Ivers. Licensed under Creative Commons Attribution 4.0 International License. Music promoted by Chosic.
Overview
Section 1: Introduction to Business Analysis
Lecture 1 Welcome to the Course!
Lecture 2 What is Business Analysis?
Lecture 3 Who is a Business Analyst?
Lecture 4 Role and Responsibilities of a Business Analyst
Lecture 5 Career Opportunities
Lecture 6 Course Resources - Business Analyst Glossary of Terms
Lecture 7 Conclusion and Key Takeaways
Section 2: Core Skills for Business Analysts
Lecture 8 Introduction to Core Skills for Business Analysts
Lecture 9 Analytical Thinking
Lecture 10 Problem-Solving
Lecture 11 Communication Skills
Lecture 12 Requirements Gathering
Lecture 13 Data Analysis
Lecture 14 Good Listening Skills
Lecture 15 Critical Thinking
Lecture 16 Conclusion and Key Takeaways + Course Resources
Section 3: Business Needs and Objective Prioritization
Lecture 17 Introduction to Business Needs and Objective Prioritization
Lecture 18 Techniques for Identifying Business Needs
Lecture 19 Business Objectives: Translating Needs into Action
Lecture 20 The Importance of Prioritization
Lecture 21 Techniques for Prioritizing Business Needs and Objectives
Lecture 22 Involving Stakeholders in Prioritization
Lecture 23 Adapting Priorities as Projects Evolve
Lecture 24 Conclusion and Key Takeaways
Section 4: Stakeholder Identification and Engagement
Lecture 25 Introduction to Stakeholder Identification and Engagement
Lecture 26 What Are Stakeholders?
Lecture 27 Why Is Stakeholder Identification Important?
Lecture 28 Categorizing Stakeholders
Lecture 29 Identifying Your Stakeholders
Lecture 30 Stakeholder Engagement
Lecture 31 Communication Planning
Lecture 32 Managing Stakeholder Expectations
Lecture 33 Adapting to Changes
Lecture 34 Common Challenges in Stakeholder Engagement
Lecture 35 Case study - Stakeholder Identification and Engagement
Lecture 36 Conclusion and Key Takeaways
Section 5: Requirement Types
Lecture 37 Introduction to Requirement Types
Lecture 38 The Role of Requirements
Lecture 39 Business Requirements
Lecture 40 Business Rules
Lecture 41 Stakeholder Requirements
Lecture 42 User Requirements
Lecture 43 Functional Requirements (FR)
Lecture 44 Non-Functional Requirements (NFR)
Lecture 45 Case Study - Requirement types
Section 6: Requirements Gathering Techniques
Lecture 46 Introduction to Requirements Gathering Techniques
Lecture 47 Techniques for Requirements Gathering
Lecture 48 Common Challenges in Requirement Gathering
Lecture 49 Case Study - Requirements Gathering Techniques
Lecture 50 Conclusion and Key Takeaways
Section 7: Leveraging AI for Smarter Business Analysis
Lecture 51 Introduction to AI in Business Analysis
Lecture 52 Key AI Techniques for Business Analysts
Lecture 53 Real-World Applications of AI in Business Analysis
Lecture 54 Challenges and Considerations
Lecture 55 Conclusion and Key Takeaways
Section 8: Professional Development and Next Steps
Lecture 56 Introduction to Professional Development and Next Steps
Lecture 57 Building Your Knowledge and Skillset
Lecture 58 Certifications and Training for Business Analysts
Lecture 59 Building Practical Experience
Lecture 60 Networking and Community Involvement
Lecture 61 Staying Updated with Industry Trends and Technology
Lecture 62 Conclusion: Taking Charge of Your Business Analysis Career
Aspiring Business Analysts looking to start their journey,Professionals looking to transition into Business Analysis from roles like IT, operations, or project management, and gain practical tools to succeed.,Recent graduates and students interested in starting a career in Business Analysis or related fields, with step-by-step guidance to build a solid foundation.,Anyone curious about Business Analysis who wants to explore the role, its responsibilities, and its potential, with no prior experience required.

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Free Download C++ Made Easy - A Journey from Beginners
Published 11/2024
Created by Reza Shahin
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 83 Lectures ( 8h 38m ) | Size: 3.38 GB

Learn C++ Step by Step: From Writing Your First Code to Building a Solid Foundation + Many Practices
What you'll learn
Understand Basic Data Types and Operators
Implement Decision Structures (if, switch)
Use Loop Structures (for, while, do-while)
Work with Functions and Parameters
Manipulate One-Dimensional and Two-Dimensional Arrays
Use Arrays with Functions and Static Variables
Understand and Use Pointers
Work with Strings and String Functions
Apply Enumerations, Structures, and Unions
Read and Write Files in C++
Solve Practical Problems with C++
Requirements
No programming skills are required. You will learn everything you need to know.
Should be dedicated to learning and improving your skills
Should be motivated to complete the exercises and apply concepts.
Should be hard-working and willing to practice regularly.
Should be open to asking questions and engaging with course resources.
Description
Are you ready to master C++ programming from the ground up, without any prior experience? This all-inclusive course is your one-stop solution, meticulously designed to cater to beginners and those who want to elevate their programming skills. With a blend of theory and hands-on practice, we make sure you understand every concept deeply and apply it effectively.What You Will Learn:From the basics of programming of C++, our curriculum is structured to give you a solid foundation and the ability to tackle complex problems. Here's a glimpse of what you'll cover:Introduction & Importance of Coding: Understand why coding in C++ .Basic Syntaxes: Master data types, operations, and handling input/output through the terminal.Decision and Loop Structures: Learn to control the flow of your programs using if-else statements, switches, for, while, and do-while loops.Functions: Explore function concepts, call-by-value vs. call-by-reference, overloading, and recursion.Coding Exercises: Apply your knowledge with practical exercises.Course Highlights:Practical Session for Each Topic: Each concept is immediately followed by a hands-on coding session to reinforce learning and build your skills.Conclusion lectures: At the end of each section, we review all the concepts learnt in the conlcusion videos.Workbook Programs: Work on a curated set of programs in each section, designed to deepen your understanding and coding ability.Why Choose This Course?No Pre-requisites Needed: Absolutely no prior programming experience is required! We start from scratch and gradually build your knowledge and applying the learnt knowledge right away in exercise sessions.Comprehensive Practice: With many coding exercises, you'll have plenty of opportunities to perfect your coding skills.Step-by-Step Approach: Our structured lessons ensure you learn systematically, making complex topics easy to understand.Balanced Learning: We provide a perfect mix of theoretical knowledge and practical application, ensuring you're industry-ready.Immediate Application: Concepts are followed by coding exercises, so you never learn in isolation. Our approach ensures you can apply what you learn instantly.Join us and transform your C++ skills through an interactive, comprehensive, and engaging experience. Your journey to mastering C++ begins here-enroll now and start coding with confidence!
Who this course is for
This course is provided for anyone who is passinate about learning C++ basis.
Complete beginners with no prior programming experience.
Computer science students looking to strengthen their foundational C++ skills.
Individuals interested in programming who want to start with a versatile language.
Aspiring software developers or engineers seeking to write code in C++.
Anyone eager to learn structured programming and problem-solving through C++.
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Free Download ChatGPT For Product Management And Innovation
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.75 GB | Duration: 3h 4m
Leveraging AI to Transform Product Strategy and Innovation

What you'll learn
Conduct efficient market research using ChatGPT
Generate and refine product ideas with AI assistance
Gather and document requirements accurately
Create and manage product roadmaps effectively
Enhance UX design through AI-driven user insights
Develop targeted marketing strategies with AI tools
Analyze product performance data using ChatGPT
Navigate ethical and legal aspects of AI in product management
Apply best practices from real-world AI integrations
Requirements
Basic understanding of product management principles
Familiarity with product development processes
Access to a computer with internet connectivity
No prior experience with ChatGPT or AI tools required
Description
Transform the way you manage products and innovate with ChatGPT for Product Management and Innovation. This course is designed to empower you with AI-driven tools and techniques that streamline workflows, spark creativity, and optimize product development. Whether you're an experienced product manager or an aspiring professional, you'll gain actionable skills to tackle the challenges of modern product management.Learn how to conduct efficient market research, generate and refine product ideas, and develop strategic roadmaps that align with business goals. Dive into AI-powered UX design to create user-focused solutions and discover how to craft targeted marketing strategies that truly resonate. With ChatGPT, analyzing product performance becomes simpler, enabling you to make data-backed decisions with confidence.This course also addresses the ethical and legal considerations of integrating AI into product management, equipping you to navigate this evolving landscape responsibly. With real-world best practices from successful AI integrations, you'll leave with the knowledge and confidence to drive innovation in your organization.Whether you're looking to upskill, innovate, or improve your team's outcomes, this course provides the tools to future-proof your career and make a lasting impact in the field of product management.We Hope you can elevate your product to much new heights.
Overview
Section 1: Introduction to ChatGPT for Product Managers
Lecture 1 Understanding ChatGPT's Role in Product Management
Section 2: Leveraging AI for Market Insights
Lecture 2 Understanding Market Trends with ChatGPT
Lecture 3 Amazon's Market Research for Kindle Development
Lecture 4 Crafting Effective Prompts for Market Research & Principles of Effective Prompt
Section 3: Accelerated Ideation and Problem Solving using First Principles Thinking
Lecture 5 AI-Powered Idea Generation
Section 4: Streamlined Requirements Gathering and Product Design
Lecture 6 Enhancing User Research with AI
Section 5: Efficient User Research and Developing User Personas
Lecture 7 Developing Product Roadmaps Efficiently
Product Managers seeking to integrate AI into their workflows,Aspiring Product Managers looking to enhance their skill set,Professionals aiming to drive innovation in product development,Teams interested in leveraging AI for better product outcomes,Individuals focused on improving market research and UX design

Homepage

https://www.udemy.com/course/chatgpt-for-product-management-and-innovation/

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