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Free Download Building an Employee Management System with PySide2
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 54m | Size: 425 MB
Master PySide2 to create dynamic GUI applications for managing employee data efficiently!

What you'll learn
Install and configure PySide2 for GUI application development.
Create intuitive user interfaces for desktop applications.
Handle CSV files for reading and writing data.
Develop a complete employee management system from scratch.
Debug and refine applications for professional use.
Requirements
Basic understanding of Python programming.
A computer with PySide2 and Python installed (covered in the course).
Familiarity with basic file handling is helpful but not mandatory.
Description
Introduction:Take your GUI development skills to the next level with PySide2! In this course, Building an Employee Management System with PySide2, you'll create a complete desktop application from scratch. Learn how to design intuitive user interfaces, manage data with CSV files, and build an interactive employee management system. Whether you're a beginner or a budding developer, this project-based course will give you the tools to create professional-grade applications.Section-Wise Writeup:Section 1: IntroductionStart with an Overview of the course and the project you'll be building. Gain insights into the benefits of using PySide2 for GUI development and understand the objectives of creating an employee management system.Section 2: Installing PySide2Begin your journey by setting up the development environment:Installation of PySide2: Learn the installation process and get PySide2 configured on your system. This step ensures you're ready to dive into GUI development.Section 3: Designing the GUIExplore the core of application design with PySide2:Creating Main Page: Design a welcoming and functional main page for the application.Creating Add Employee Page: Build a user-friendly interface to add employee details seamlessly.Creating Display Employee Page: Design a structured page to display employee records dynamically.Section 4: Reading and Writing CSV FilesLearn file handling techniques to manage employee data effectively:Writing a CSV File to Add Employee: Implement functionality to save employee details into a CSV file.Reading a CSV File to Display Employees: Create a mechanism to read employee data from CSV files and display it in the application.Section 5: Output of the ProjectWrap up by showcasing the output of your project. You'll learn how to test the application, ensure smooth functionality, and debug common issues to deliver a polished product.Conclusion:By the end of this course, you will have a fully functional employee management system built with PySide2. You'll gain valuable experience in GUI design, data handling, and application development that can be applied to a wide range of projects.
Who this course is for
Python developers aiming to learn GUI development.
Students and professionals interested in creating real-world applications.
Hobbyists who want to build interactive desktop software.
Anyone looking to gain practical experience with PySide2.
Homepage:

https://www.udemy.com/course/building-an-employee-management-system-with-pyside2/

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Free Download Building an Employee Management System with RESTful APIs
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 15m | Size: 728 MB
Learn how to create a fully functional employee management system with Spring Boot and RESTful APIs from scratch!

What you'll learn
How to create a Spring Boot project and configure necessary dependencies.
Design and create database schema classes for employees and departments.
Implement repository and service layers to manage data.
Build RESTful APIs to expose employee and department data.
Configure Spring Boot applications with database connection properties.
Requirements
Basic knowledge of Java and object-oriented programming.
Familiarity with SQL and database management.
Basic understanding of web development concepts.
No prior knowledge of Spring Boot is required, though helpful.
Description
Introduction:In this course, you'll learn how to build a complete Employee Management System using Spring Boot and RESTful APIs. This hands-on course takes you through each step of creating an enterprise-grade application, including setting up Spring Boot, designing a database schema, implementing CRUD operations for employees and departments, and exposing data via RESTful APIs. By the end of this course, you'll be able to develop full-fledged Spring Boot applications that can interact with a database, perform business logic, and respond to HTTP requests through APIs.Section-Wise Writeup:Section 1: IntroductionThe first section introduces you to the course goals, project structure, and the technologies used to build the Employee Management System.Lecture 1: Introduction to Project - Overview of the project and its objectives.Lecture 2: Creating a Project and Adding Dependencies - Setting up a Spring Boot project using Maven, and adding the necessary dependencies to get started.Section 2: Schema ClassIn this section, you'll define the database schema classes, which are essential for structuring the employee and department data.Lecture 3: Creating Department Class - Learn how to design the Department class to store department-specific data.Lecture 4: Creating Employee Class - Develop the Employee class that will store employee-specific information and define relationships with the Department class.Section 3: Repository and ServicesYou'll implement repositories and services in this section to manage data and business logic for employees and departments.Lecture 5: Department Repositories - Understand how to create repositories for the Department entity that will handle data persistence and CRUD operations.Lecture 6: Department Service - Create a service class to manage the business logic for departments.Lecture 7: Employee Service - Develop the service layer for employee data handling and interaction with the database.Section 4: ControllerThis section focuses on developing RESTful APIs using Spring Boot controllers to expose the services created in the previous section.Lecture 8: Department Controller - Learn to create the Department controller, which exposes API endpoints for managing departments.Lecture 9: Department Controller Continue - Extend the Department controller with additional features and API endpoints.Lecture 10: Employee Controller - Create the Employee controller to expose APIs for managing employee data.Section 5: Main File and PropertiesIn this section, you'll configure the application's main class and properties file to set up the environment and database.Lecture 11: Main File - Set up the main Spring Boot application class to launch your Employee Management System.Lecture 12: Properties File - Learn to configure the properties file to manage database connections and other application settings.Conclusion:Upon completing this course, you'll have developed a fully functional Employee Management System with Spring Boot and RESTful APIs. You'll gain hands-on experience in backend development, learning how to design and build a backend system that can handle employee and department data, expose APIs, and interact with a database. This course provides the foundation for building more complex applications and will be a valuable addition to your developer skillset.
Who this course is for
Java developers who want to learn backend development with Spring Boot.
Beginners interested in building RESTful APIs and database-driven applications.
Developers who want to improve their skills in building enterprise applications with Spring Boot.
Anyone who wants to learn how to manage and expose employee and department data through APIs.
Homepage:

https://www.udemy.com/course/building-an-employee-management-system-with-restful-apis/

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Free Download Business Analytics With R - A Comprehensive Guide
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.09 GB | Duration: 16h 6m
Master business analytics using R to make data-driven decisions with real-world applications and statistical modeling.

What you'll learn
How to use R for business analytics, including data manipulation and statistical analysis.
The business analytics life cycle and how to deploy analytics models.
The fundamentals of statistics, probability, and distributions, including hypothesis testing.
Advanced forecasting techniques like ARIMA and time-series analysis.
How to create compelling data visualizations to communicate insights.
Requirements
Basic knowledge of statistics and business concepts is helpful. No prior programming experience is required, though familiarity with basic programming concepts will be beneficial. A willingness to learn R and apply it to real-world business analytics problems.
Description
Course IntroductionThis course is designed to teach students how to harness the power of R programming for business analytics. Whether you're an aspiring data scientist or a business professional, this course will guide you through every step-from understanding basic data concepts to implementing complex statistical models and machine learning techniques. You'll work with practical examples, data manipulation, visualization, and forecasting, giving you a solid foundation to analyze business data and drive decisions using R.Section-Wise WriteupSection 1: Introduction to Business Analytics and RThe course begins by introducing the concept of business analytics and its evolution in modern business. We start with a discussion on discriminant analysis and move into an introduction to R and its application in business analytics. This section also covers fundamental business examples, such as hotel data, to illustrate how analytics can be applied in real-world scenarios. You will learn about different types of data used in analytics, including ordinal data, and explore decision models used to solve business problems.Section 2: Business Analytics Life CycleThis section dives into the Business Analytics Life Cycle, providing insights into how analytics processes are structured. You'll learn about model deployment, which is critical for turning your models into actionable business strategies. We also explore the steps in the problem-solving process, introduce software commonly used in business analytics, and guide you through setting up R and R Studio for effective use in your analytics projects.Section 3: Understanding R ProgrammingR is the core tool used in this course, and here you'll get a comprehensive introduction to it. The section covers basic R functions, data types, and key concepts such as recycling rules, special numerical values, and logical conjunctions. You will also learn about arrays, matrices, and factors in R, along with how to work with repositories and install packages. The practical aspects of working with data, importing, and aggregating data will be demonstrated.Section 4: Data Manipulation & Statistics BasicsIn this section, you'll focus on data manipulation techniques like merging and data creation, followed by an introduction to basic statistics. You will learn how to compute variance, covariance, and cumulative frequency, while also getting hands-on experience with functions in R like head() and scatterplot(). The section also explores control flow, which helps in making decisions based on data.Section 5: Statistics, Probability & DistributionThis section covers core concepts of statistics and probability necessary for business analytics. You'll learn about random variables, discrete and continuous distributions, and how to calculate expected values. The section also explores binomial distributions and uniform random variables, alongside examples such as gambling and decision-making games like "Deal or No Deal."Section 6: Business Analytics Using RFocusing on advanced business analytics, this section delves into statistical concepts like Normal and t-distributions, along with tools for hypothesis testing. You'll work with real-world examples, such as SAT scores and birth weights, to understand estimation, confidence intervals, and central limit theorem. The section culminates in building confidence intervals and learning about kurtosis, all while gaining practical experience using R.Section 7: Examples, Testing & ForecastingThis section emphasizes hypothesis generation and testing using R. You will work with sample differences, calculate Z values, and perform one-sided P-value tests. Additionally, you will learn about forecasting, time-series analysis, and methods such as ARIMA and double exponential smoothing. These tools are essential for predicting future trends and making informed decisions in business.Section 8: Understanding VisualizationsData visualization is a powerful tool for business analytics, and in this section, you will master how to create effective visual representations of data in R. You'll learn why and how to visualize data, overlay plots, and use advanced graphs such as bubble charts. The section also covers the concept of ANOVA (Analysis of Variance) and regression modeling, providing you with the skills to build and interpret statistical models.ConclusionBy the end of this course, you will have a strong understanding of business analytics concepts and the practical skills to implement them using R. From basic data manipulation and statistical analysis to advanced forecasting and visualizations, this course will prepare you to tackle complex business problems with confidence. You'll be equipped to use R for data-driven decision-making and analysis, giving you the tools to succeed in any business analytics role.
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Lecture 2 Course Curriculum
Lecture 3 Discriminant Analysis
Lecture 4 Introduction to R & Analytics
Lecture 5 Evolution of Business Analytics
Lecture 6 Business Example- Hotel
Lecture 7 Data for Business Analytics
Lecture 8 Ordinal Data
Lecture 9 Decision Model Example
Lecture 10 Descriptive Decision Models
Section 2: Business Analytics Life Cycle
Lecture 11 Business Analytics Life Cycle
Lecture 12 Model deployment
Lecture 13 Steps in Problem Solving Process
Lecture 14 Software used in Business Analytics
Lecture 15 Getting Started with R
Lecture 16 Installing R Studio
Section 3: Understanding R
Lecture 17 Basics of R
Lecture 18 Basic R Functions
Lecture 19 Data Types
Lecture 20 Recycling Rule
Lecture 21 Special Numerical Values
Lecture 22 Parallel Summary Functions
Lecture 23 Logical Conjunctions
Lecture 24 Pasting Strings together
Lecture 25 Type Coercion
Lecture 26 Array & Matrix
Lecture 27 Factor
Lecture 28 Repository & Packages
Lecture 29 Installing a Package
Lecture 30 Importing Data
Lecture 31 Importing Data SPSS
Lecture 32 Working with Data
Lecture 33 Data Aggregation
Section 4: Data Manipulation & Statistics Basics
Lecture 34 Data Manipulation & Statistics Basics
Lecture 35 Merging
Lecture 36 Data Creation
Lecture 37 Merge Example
Lecture 38 What is Statistics
Lecture 39 Variables
Lecture 40 Quantiles
Lecture 41 Calculating Variance
Lecture 42 Calculating Covariance
Lecture 43 Cumulative Frequency
Lecture 44 Library (mass)
Lecture 45 Head (faithful)
Lecture 46 Scatter Plot
Lecture 47 Control Flow
Section 5: Statistics, Probability & Distribution
Lecture 48 Statistics, Probability & Distribution
Lecture 49 Random Variable
Lecture 50 Random Example
Lecture 51 Discrete Example
Lecture 52 Practice problem
Lecture 53 Continuous Case
Lecture 54 Exponential Distribution Practice Problem
Lecture 55 Expected Value
Lecture 56 Gambling Example
Lecture 57 Deal or no deal
Lecture 58 Distribution details
Lecture 59 Binomial Distribution continued
Lecture 60 Expected Value from Binomial
Lecture 61 Uniform Random Variables
Lecture 62 Probability distributions examples
Lecture 63 Probability distributions examples continued
Section 6: Business Analytics using R
Lecture 64 Business Analytics using R
Lecture 65 Normal PDF
Lecture 66 What is Normal, Not Normal
Lecture 67 SAT Example
Lecture 68 Example- Birth Weights
Lecture 69 dNorm, pNorm, qNorm
Lecture 70 Understanding Estimation
Lecture 71 Properties of Good Estimators
Lecture 72 Central Limit Theorem
Lecture 73 Kurtosis
Lecture 74 Constructing Central Limit Theorem
Lecture 75 Confidence Intervals for the Mean
Lecture 76 Confidence Intervals Examples
Lecture 77 Computer Lab Example
Lecture 78 t-distribution
Lecture 79 t-distribution continued
Section 7: Examples, Testing & Forecasting
Lecture 80 R Examples
Lecture 81 Standard error of the mean
Lecture 82 Downloading the Package
Lecture 83 Sample Differences
Lecture 84 Hypothesis Generation & Testing
Lecture 85 Hypothesis Testing
Lecture 86 One sided P Value
Lecture 87 Power & Sample Size
Lecture 88 Testing Hypothesis using R
Lecture 89 Calculating the Z value
Lecture 90 Lower Tail proportion of population proportion
Lecture 91 Forecasting
Lecture 92 Time Series Analysis Applications
Lecture 93 Approaches to Forecasting
Lecture 94 Observation Components
Lecture 95 Traditional Approaches
Lecture 96 Double Exponential Smoothing
Lecture 97 ARIMA Steps
Lecture 98 Forecasting Performance
Lecture 99 Univariate ARIMA
Section 8: Understanding Visualizations
Lecture 100 R Visualization
Lecture 101 Why Visualize
Lecture 102 Overlaying Plots
Lecture 103 Graphs representation of Data
Lecture 104 Graphs representation of Data continued
Lecture 105 Advanced Graphs
Lecture 106 Bubble Charts
Lecture 107 Anova
Lecture 108 Concept of effect
Lecture 109 Estimate of Treatment effect
Lecture 110 Factorial Anova
Lecture 111 Regression
Lecture 112 Regression Model
Lecture 113 Linear Relationship
Lecture 114 Output of Regression Model
Business professionals and analysts looking to use data to drive decisions. Aspiring data scientists or analysts who want to build a career in business analytics. Students or individuals with an interest in learning R programming and applying it to business contexts. Anyone looking to expand their knowledge of statistical analysis and forecasting techniques for business.


Homepage:

https://www.udemy.com/course/business-analytics-with-r-a-comprehensive-guide/

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Free Download Business Intelligence and Advanced Analytics with Tableau
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 5h 22m | Size: 1.92 GB
Master Tableau to create insightful visualizations, dynamic dashboards, and advanced analytics with ease!

What you'll learn
Tableau installation and initial setup.
Creating visualizations and dashboards from scratch.
Advanced chart types and filters.
Analyzing spatial and temporal data.
Implementing market basket analysis for actionable insights.
Requirements
Basic understanding of data and statistics. No prior experience with Tableau is needed.
Description
Course IntroductionThis course is a step-by-step guide to Tableau, designed to transform you into a proficient data visualization expert. Beginning with installation and basic operations, you'll progress through creating dashboards, charts, filters, maps, and advanced analytics like market basket analysis. The course is packed with hands-on exercises, ensuring you gain practical experience and confidence to handle real-world data visualization projects.Section-wise WriteupSection 1: IntroductionGet introduced to Tableau and its capabilities in modern data visualization. This section sets the stage for exploring the software's full potential.Section 2: InstallationLearn the benefits of Tableau and step-by-step installation instructions to get started with the tool.Section 3: Plots and ChartsUnderstand the fundamentals of connecting data and navigating Tableau's layout. Learn to build your first plots and charts to visualize data effectively.Section 4: FilteringMaster filtering techniques, including nested and context filters. Learn to organize and refine your data with practical examples like sales, profit, and product analysis.Section 5: DatesExplore Tableau's date functions and learn to analyze sales and profit trends over time. Leverage dual-axis charts for layered insights.Section 6: MapsDive into geospatial data with Tableau's mapping capabilities. Visualize sales and budgets by area codes and enhance maps with custom images and advanced metrics.Section 7: DashboardsCreate dynamic dashboards that tell compelling stories. Learn to design worksheets, add images and buttons, and put finishing touches to deliver polished, professional dashboards.Section 8: Market Basket AnalysisDiscover the power of market basket analysis and implement it within Tableau. Analyze customer buying patterns and extract actionable insights.Section 9: ChartsBuild a variety of advanced charts like pie, donut, tree maps, heat maps, word clouds, and waterfall charts. This section emphasizes creativity in data storytelling.Section 10: HistogramAnalyze data distributions with histograms. Explore metrics like sales, orders, and discounts while refining your visualizations for clarity and impact.ConclusionBy the end of this course, you'll have the skills to leverage Tableau for powerful data visualization and storytelling. Whether for personal projects or professional tasks, you'll be equipped to turn data into impactful visuals.
Who this course is for
Aspiring data analysts and business intelligence professionals. Anyone looking to enhance their data visualization skills. Students and researchers in data-intensive fields.
Homepage:

https://www.udemy.com/course/business-intelligence-and-advanced-analytics-with-tableau/

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Free Download CRM and Marketing Analytics From Data to Strategy
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 6m | Size: 941 MB
Transform your marketing strategies with data-driven insights by mastering CRM and marketing analytics.

What you'll learn
Understand the core principles of CRM and marketing analytics.
Learn how to analyze real marketing data and extract valuable insights.
Understand and apply decision-making frameworks like CCMF in marketing contexts.
Gain proficiency in using log-linear data and binary logit models for retention analysis.
Learn how to calculate the utility and make data-driven targeting decisions.
Master the art of using marketing analytics to optimize customer strategies and improve campaign effectiveness.
Requirements
There are no formal prerequisites for this course, but it is recommended that students have a basic understanding of marketing concepts and data analysis techniques. Familiarity with Excel or statistical software for data analysis would also be beneficial.
Description
Course Introduction:In the competitive world of marketing, data-driven strategies are more important than ever. This CRM and Marketing Analytics course is designed for marketers, analysts, and business professionals who want to learn how to effectively apply data analytics to customer relationship management (CRM) and marketing strategies. Through this course, students will gain a comprehensive understanding of how to use analytics to enhance customer retention, measure marketing effectiveness, and optimize marketing campaigns. Whether you're looking to make more informed decisions, improve customer loyalty, or drive growth, this course will provide you with the necessary tools and techniques.Section-wise Write-up:Section 1: Introduction to CRM and Marketing AnalyticsThe course begins with a foundational Overview of CRM and marketing analytics. Students will explore the concept of customer relationship management (CRM) and how data analytics plays a critical role in shaping marketing decisions. The first lecture introduces CRM and marketing analytics, setting the stage for understanding the importance of data in modern marketing practices. This section is designed to help students grasp key concepts and the relevance of analytics in building and maintaining strong customer relationships.Section 2: Getting Started with Marketing AnalyticsIn this section, students will dive deeper into the world of marketing analytics. It begins with exploring marketing problems and Customer Contact and Marketing Framework (CCMF), providing insight into real marketing data and how decision-making is influenced by data analysis. Students will then move on to understand log-linear data and data analysis techniques used in marketing contexts.The section also introduces DSA (Data Set Analysis) for extracting initial marketing insights and discusses how to interpret summary outputs to derive actionable marketing implications. The lectures will explore key marketing questions, including how to target customers and predict marketing outcomes. Through practical examples, students will apply models such as the Logit Model to estimate binary retention decisions and calculate utility, leading to a better understanding of customer behavior.Key topics covered include:CCMF and marketing problemsReal marketing data and how to analyze itUnderstanding and applying log-linear dataEstimating binary logit models for retention and targetingMarketing implications and how to optimize strategies using dataConclusion:This course provides a solid foundation in CRM and marketing analytics, with practical applications designed to give students the tools to optimize their marketing strategies using data. From exploring customer behavior models like the logit model to analyzing real marketing data, students will leave with the skills needed to enhance customer relationships, improve retention, and make informed decisions.
Who this course is for
Marketing professionals looking to leverage data for decision-making and strategy development.
Data analysts who want to expand their skill set in marketing analytics.
CRM managers and customer experience professionals seeking to enhance customer retention and loyalty through analytics.
Anyone interested in learning how to optimize marketing campaigns and improve customer targeting using data.
Homepage:

https://www.udemy.com/course/crm-and-marketing-analytics-from-data-to-strategy/

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Free Download Certificate In Guided Imagery Meditation Coach
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.22 GB | Duration: 1h 15m
Guided Imagery Meditation: Master the Art of Healing Visualizations

What you'll learn
Understand what guided imagery is and how it impacts the mind and body.
Explore the Science Behind Guided Imagery
How to create Guided imagery Meditation Script
Role of Voice and tone in script in guide imagery meditation
5 Guided Imagery Meditation for practice
Develop skills to guide participants through calming and transformative meditations.
Learn how to use tone, pacing, and voice modulation for an impactful session.
Learn how to use tone, pacing, and voice modulation for an impactful session.
Build credibility to start your own practice or enhance your wellness career.
Requirements
No prior experience is required-this course is designed for beginners as well as experienced meditation practitioners.
A willingness to learn and practice guided imagery techniques.
Access to a quiet space where you can practice the guided meditations without interruptions
A computer, tablet, or smartphone with an internet connection to access the course content.
Description
Course Description:Welcome to Certificate in Guided Imagery Meditation Coach ( Guided Imagery Meditation: Master the Art of Healing Visualizations), a comprehensive course designed to help you learn the transformative technique of guided imagery meditation. Whether you're a beginner or a seasoned meditation practitioner, this course will provide you with the tools, techniques, and confidence to lead others (or yourself) through powerful meditation experiences that promote healing, relaxation, and clarity.What you will learn:The Science Behind Guided Imagery Meditation:Understand the science and psychology behind guided imagery and its profound impact on reducing stress, improving mental clarity, and enhancing overall well-being.Creating Effective Guided Imagery Scripts:Learn how to craft detailed, immersive meditation scripts that engage the senses and lead participants into deep relaxation and healing.Voice and Tone Techniques for Meditation Trainersiscover the essential role of voice modulation, tone, and pacing to enhance the effectiveness of your meditation sessions.Overcoming Common Challenges in Guided Imagery Meditation Sessions:Gain practical strategies for managing distractions, participant resistance, and other challenges that may arise during your guided meditation sessions.Practical Guided Meditation Examples:Experience guided imagery meditations such as "A Peaceful Beach Walk," "Forest Path Adventure," "Night Under the Sky," and "Relaxation in the Garden"-perfect for relaxation, stress relief, and emotional healing. 5 Guided Meditation providedWho this course is for :Aspiring meditation teachers or wellness coachesIndividuals looking to deepen their own meditation practiceHealers and therapists seeking new tools for emotional and mental well-beingAnyone interested in learning how to craft personalized guided imagery meditationsWhy You Should Enroll:This course will empower you to create and lead your own guided imagery meditations, whether for personal use or as a tool for helping others. Guided imagery is a powerful technique used to reduce stress, promote relaxation, heal emotional wounds, and cultivate mindfulness. With the knowledge and skills gained from this course, you will be able to confidently guide others through healing visualizations that foster calm, clarity, and emotional balance.Enroll Now and Start Your Journey to Mastering Guided Imagery Meditation!
Overview
Section 1: Introduction to Guided Imagery Meditation
Lecture 1 Introduction
Lecture 2 Chapter-1 What is Guided Imagery Meditation and Benefits
Lecture 3 Chapter 2 Science of Guided Imagery Meditation
Lecture 4 Chapter 3 How to create Guided imagery Meditation Script
Lecture 5 Chapter 4 Role of Voice and tone in script in guide imagery meditation
Lecture 6 Chapter -5 Challenges during meditation session for trainers
Lecture 7 Guided Meditation -1 :Peace full Beach Walk Guided imagery meditation
Lecture 8 Guided Meditation 2: Forest Path Adventure Guided Imagery meditation
Lecture 9 Guided Meditation 3: Night under the sky Guided imagery meditation
Lecture 10 Guided Meditation 4 :Relaxation in garden Guided Imagery meditation
Lecture 11 Guided Meditation 5: Heart Chakra Meditation
Lecture 12 Know Your Trainer
Meditation Practitioners and Enthusiasts:Individuals who want to deepen their understanding of guided imagery and incorporate it into their meditation practice.,Wellness Coaches and Yoga Trainers: Professionals looking to add guided imagery techniques to their existing offerings.,Therapists and Counselors: Mental health professionals who want to use guided imagery as a therapeutic tool to help clients manage stress, anxiety, and other challenges.,Healthcare Professionals: Nurses, doctors, and holistic healers interested in integrating relaxation techniques into patient care.,Corporate Trainers and HR Professionals: Individuals aiming to introduce stress management and mindfulness programs in workplaces.,Educators and Trainers: Teachers and trainers who want to promote mindfulness and focus in classrooms or workshops.,Beginners in Meditation: Anyone curious about meditation and visualization, even with no prior experience.,Individuals Seeking Personal Growth: People looking for tools to reduce stress, enhance creativity, and achieve personal transformation through visualization.


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Free Download Certificate In Laundry And Drycleaning Practice
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 633.68 MB | Duration: 0h 35m
Dry clean; Chemicals; Solvents; Hand dry-cleaning

What you'll learn
Students will know the process required to open and successfully operate a dry-cleaning business
Students will know the chemicals used in the dry-cleaning process
Students will know how to use the dry-cleaning machine
Students will know how to dry-clean even without a machine
Requirements
No previous experience is necessary
List of dry cleaning chemicals discussed in Chapter 3
Description
Did you know that we spend more money on washing and dry cleaning clothes than the amount we part with when busying them? That can't be right, especially in developing countries where financial resources are scarce; that's why we congratulate you for deciding to learn how to dry clean clothes yourself. Dry cleaning is the process of using specialized techniques and equipment to clean suits and special types of clothing effectively without water. The most common solvent used in dry cleaning suits is perchloroethylene, also known as perc. Other solvents that may be used include hydrocarbon and silicone-based solvents. These solvents are effective in removing dirt, oil, and stains from fabrics without using water. Opening your own dry cleaning business can have several benefits. For example, it can provide a stable source of income as there is always a demand for dry cleaning services. Additionally, you have the opportunity to be your own boss and set your own schedule. Running a dry cleaning business can also allow you to build strong relationships with customers in your community and provide a valuable service to them. Overall, owning a dry cleaning business can be a rewarding and profitable venture. This course will give you a detailed explanation of the process you will have to follow
Overview
Section 1: Introduction
Lecture 1 Introduction to the laundry and dry-cleaning business
Lecture 2 Collection and inspection
Lecture 3 Stain treatment
Lecture 4 Dry cleaning chemicals and solvents
Lecture 5 Machine dry cleaning
Lecture 6 Improvising
Aspiring dry-clean business entrepreneurs with limited financial resources


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Free Download Certificate In Shoes And Leather Products Manufacturing
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 583.45 MB | Duration: 0h 36m
Leather shoes; Leather Belts; Tanning; Leather hats

What you'll learn
Students will learn about the various uses of leather and how to collect/prepare it for manufacturing
Students will learn how to plan, design and source materials to make leather shoes
Students will use left-over leather from the shoe business to make belts for sale
Students will learn how to design and manufacture leather hats for sale
Requirements
No previous experience needed
Access to areas where leather products are available
Assistance from skilled artisans and leather preservation chemicals
Description
Welcome to this exciting course, as it uses easily-available products as raw materials to start your own business! Leather products are goods made from animal hide that has been processed and tanned. This can include items such as bags, shoes, belts, jackets, and furniture. Leather is known for its durability, flexibility, and timeless style. No wonder why leather products are very expensive and in short supply. Sadly, though, most of the lather used in developed countries comes from developing countries and they buy it at lower prices because they have to process it themselves. Therefore, manufacturing our own leather products allows us to control the market price as we will charge the price of finished products and not those of raw materials; we also get to determine the quality of the materials used and the production process. This can lead to higher quality products that are durable and long-lasting. Additionally, producing our own leather products can help support local economies and businesses by creating jobs and stimulating economic growth. It also allows for more customization and personalization options for consumers. Fortunately, this course will help you manufacture your own shoes, hats and belts using the leather you have at your disposal. Follow the instructions and you will be all set for success. All the best.
Overview
Section 1: Introduction
Lecture 1 Introduction to leather products manufacturing
Lecture 2 Collection and leather preparation
Lecture 3 Tanning
Lecture 4 Dyeing
Lecture 5 Design and pattern making
Lecture 6 Cutting leather and soles
Lecture 7 Stitching
Lecture 8 Finishing
Lecture 9 Belts
Lecture 10 Hats
Beginner leather product manufacturers with limited financial resources


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Free Download ChatGPT - The Essential Tool for Modern Technical Indicators
Published: 12/2024
Created by: Javier Héctor Comi Paricio
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 48 Lectures ( 3h 18m ) | Size: 2.14 GB

TradingView-NinjaTrader-ATAS-Metatrader-EAbuilder-ProRealtime
What you'll learn
Learning to integrate ChatGPT, an AI, into trading platforms for better analysis.
Creating personalized trading tools with ChatGPT, an AI code generator and development assistant.
Tips for crafting the most effective ChatGPT prompts.
Learn the fundamentals of using popular trading platforms like NinjaTrader, TradingView, ATAS, Metatrader, EA Builder, and Nam tech.
Build Backtesting Strategies: Use ChatGPT to design and test trading strategies in an automated way, evaluating their historical performance.
Learn the foundational programming skills to build personalized trading scripts and strategies with ChatGPT's assistance.
Requirements
Only consistency and a minimum of daily dedication are needed to not forget the learned concepts and develop your own skill in the subject.
Description
Want to discover and optimize the best technical indicators on major trading platforms without needing to code? This course is for you.You'll learn to master the most advanced tools on platforms like ATAS, TradingView, NinjaTrader, EAbuilder, and ProRealtime, all while using the intuitive power of ChatGPT, a cutting-edge AI assistant.What will you learn?How to identify, configure, and enhance the most effective technical indicators on each platform.Practical use of ChatGPT to understand and customize indicators to your specific needs, optimizing your trading without technical complications.Applications across multiple platforms, allowing you to easily adapt to your preferred environment.Advanced strategies to automate your analysis and improve your efficiency in the financial markets.Mastering Technical Indicators:Identify and understand the most powerful technical indicators.Configure and optimize indicators for maximum effectiveness.Apply indicators to various trading strategies and techniques.Leveraging ChatGPT for Trading:Use ChatGPT to generate custom indicators and strategies.Utilize AI to analyze market data and identify trends.Automate trading tasks and improve efficiency.Platform Adaptability:Apply your knowledge across multiple trading platforms (e.g., TradingView, MetaTrader).Customize your trading environment to your specific needs.Advanced Trading Strategies:Explore advanced trading concepts, such as backtesting and risk management.Develop automated trading systems to execute trades with precision.Optimize your trading strategies for maximum profitability.This course is designed for traders of all levels, especially those seeking a more efficient and straightforward way to enhance their technical analysis without having to learn to code. With the combination of leading trading platforms and the power of artificial intelligence, you'll gain practical tools and valuable knowledge to improve your results.
Who this course is for
Beginner and advanced traders: Both those starting in the world of trading and those with more experience can benefit from the tools and knowledge offered by this course.
Retail investors: Individuals who invest their personal funds in the financial markets with the goal of enhancing their investment strategies.
Software developers: Programmers who want to apply their knowledge in the field of trading and create custom tools.
Finance and economics students: Students interested in the blend of technology and finance.
Technical analysts: Professionals who analyze financial markets and seek to add new tools to their toolkit.
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Free Download ChatGPT Mastery From Basics to Advanced Applications
Published: 12/2024
Created by: Wang Jian
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 14 Lectures ( 29m ) | Size: 291 MB

Practical cases of how to use chatgpt to complete different tasks, boost productivities
What you'll learn
Learn how to use ChatGPT effectively
Start to understand prompt engineering
Get better response from LLM in general
Boost productivity using GenAI tools
Requirements
1. Prepare your device(PC, laptop, mobile phone) to log in to ChatGPT via browser or app of ChatGPT.
2. Take notes and expand your tests in case you want, you may use paper and pen or an online notebook.
3. Prepare to build your own prompt database, it may help you to expand your reach to the real potential of ChatGPT.
4. You may require additional proof reading to utilize the generated results, proceed with caution.
Description
Welcome to "ChatGPT Mastery: From Basics to Advanced Applications"Hello everyone! Are you curious about how AI can revolutionize your productivity, creativity, and problem-solving abilities? Welcome to this comprehensive course, where we dive deep into mastering ChatGPT, the leading AI conversational tool.What is ChatGPT and Why is it Important?ChatGPT has taken the world by storm as a powerful AI chatbot that simplifies complex tasks and provides robust solutions for professionals, students, researchers, and creators. From answering basic questions to performing advanced data analysis and even coding, ChatGPT is your virtual assistant ready to help.However, like all tools, it has its quirks, such as occasional inaccuracies or "hallucinations." This course will teach you how to navigate its strengths and limitations effectively, making ChatGPT a reliable part of your workflow.What You'll Learn:Getting Started with ChatGPTNavigating the interface and selecting the right models for your needs.Understanding the basics of interaction and generating quality responses.Practical Applications for Everyday LifeUsing ChatGPT to draft emails, create shopping lists, and schedule appointments.Exploring how ChatGPT can enhance personal and professional productivity.Enhancing Research and CreativitySummarizing complex topics, citing sources, and verifying information.Writing compelling content, from songs to blog posts and technical documents.Advanced Use Cases and Data AnalysisTurning textual information into statistical tables and conducting in-depth analytics.Visualizing comparisons and analyzing trends with ChatGPT's integrated tools.Debugging and Coding AssistanceLeveraging ChatGPT for Python coding, error correction, and technical analysis.Understanding model-specific capabilities for precise coding tasks.Maximizing Results with AI ModelsComparing ChatGPT's capabilities across its mini, canvas, and flagship models.Learning to adapt your approach based on the task complexity and required output.Why Take This Course?Real-World Scenarios: Explore practical use cases demonstrated with clear, step-by-step examples.Hands-On Projects: Apply what you learn with interactive exercises and coding examples.Comprehensive Insights: Understand how to optimize ChatGPT for personal and professional success.Who Should Enroll?Professionals looking to boost productivity.Students and researchers aiming to streamline their studies and projects.Creators seeking a powerful assistant for ideation and execution.Anyone interested in exploring the potential of AI in everyday life.Course StructureThis course is designed to cater to all levels, from beginners to advanced users. By the end, you'll be equipped with the skills to unlock ChatGPT's full potential and apply it to a wide array of challenges and opportunities.Join us and take the first step toward mastering the future of AI-driven problem-solving. Enroll today and transform the way you work, create, and think!
Who this course is for
Students, Worker, Everyone
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Free Download ChatGPT and LangChain - The Complete Developer's Masterclass
Last updated: 12/2024
Created by: Stephen Grider
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 137 Lectures ( 12h 11m ) | Size: 3.3 GB

Intensive masterclass on ChatGPT, LangChain, and Python. Make production-ready apps focused on real-world AI integration
What you'll learn
Integrate ChatGPT into production-style apps with LangChain
Use LangChain components to build complex text generation pipelines
Enhance ChatGPT's output by automatically integrating user feedback
Teach ChatGPT new facts through Retrieval Augmented Generation
Extend LangChain to implement server-to-browser text streaming
Use OpenAI Plugins to add new capabilities to ChatGPT, such as database access and code execution
Understand every line of code we write so you can use these exact same techniques on your own projects
Build your own chat-with-a-PDF web application, complete with document upload and authentication
See how users interact with your chat features using observability and tracing
Requirements
Basic programming experience with Python
Description
You've found the most advanced, most complete, and most intensive masterclass online for learning how to integrate LangChain and ChatGPT into production-ready applications!Thousands of engineers have learned how to build amazing applications using ChatGPT, and you can too. This course uses a time-tested, battle-proven method to make sure you understand exactly how ChatGPT works, and is the perfect pathway to help you get a new job as a software engineer working on AI-enabled apps.The difference between this course and all the others: you will go far beyond the basics of simple ChatGPT prompts, and understand how companies are integrating text generation into their apps today.___________ChatGPT is being used across industries to enhance applications with text generation. But with this new feature comes many challenges: Building complex text generation pipelines that incorporate outside informationCreating reusable configuration components that can be reassembled in different waysApplying user feedback (like upvotes/downvotes) to enhance ChatGPT's outputWiring in observability and tracing to see how users are interacting with your AIGenerate text performantly using distributed processingThis course will walk you through production-ready, repeatable techniques for addressing each of these challenges and many more.What will you build?This course focuses on creating a series of different projects of increasing complexity. You'll start from the very basics, understanding how to access ChatGPT 4 programatically. From there, we will quickly increase in complexity, building more complex projects with many more features. By the end, you will make a fully-featured web app that implements a "Chat-with-a-PDF" feature. Note: no previous web development experience is required.Here's a partial list of some of the topics you'll cover:Understand how complex text-generation pipelines workWrite reusable code using chains provided by LangChainConnect chains together in different ways to dramatically change your apps behavior with easeStore, retrieve, and summarize chat messages using conversational memoryImplement semantic search for Retrieval-Augmented Generation using embeddingsGenerate and store embeddings in vector databases like ChromaDB and PineconeUse retrievers to refine, reduce, and rank context documents, teaching ChatGPT new informationCreate agents to automatically accomplish tasks for you using goals you defineWrite tools and plugins to allow ChatGPT to access the outside worldMaintain a consistent focus on performance through distributed processing using Celery and RedisExtend LangChain to implement server-to-browser text streamingImprove ChatGPT's output quality through user-generated feedback mechanismsGet visibility into how users interact with your text generation features by using tracingThere are a ton of courses that show how to use ChatGPT at a very basic level. This is one of the very few courses online that goes far beyond the basics to teach you advanced techniques that top companies are using today. I have a passion for teaching topics the right way - the way that you'll actually use technology in the real world. Sign up today and join me!
Who this course is for
Software engineers looking to add AI into their apps
Homepage:

https://www.udemy.com/course/chatgpt-and-langchain-the-complete-developers-masterclass/

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Free Download ChatGPT for HR and Recruiters - 12 academic hours, 200 tools
Published: 12/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 11m | Size: 5.41 GB
Learn how to masterfully use ChatGPT to be in the top 3% of the coolest HRs in the world

What you'll learn
You will learn how to use ChatGPT in HR and recruiting efforts
You will get a full set of ready-made ChatGPT requests for all occasions and HR directions
Find out what other AI services are available for HR besides ChatGPT
Be able to solve any of your HR problems with ChatGPT
Increase your efficiency by 30-50% by solving problems with ChatGPT
Get personalized coaching and mentoring in the form of ChatGPT
Learn to find answers to any HR questions, generate any templates, forms, questionnaires
Learn how to analyze information with ChatGPT
Learn how to generate images for job postings, letters and any illustrations in your work
Prepare your career for a future with robots and AI
Requirements
No experience is required and the course is accessible to any HR
Description
ChatGPT: Harnessing Artificial Intelligence for HRArtificial intelligence is transforming the HR field, simplifying daily tasks, and boosting efficiency. In this course, you'll learn how to leverage cutting-edge tools to automate processes, improve workflows, and generate creative ideas.You'll also explore image-generation technologies to create unique content for job postings, social media, emails, and more.Four Reasons to Enroll Now1. Discover how to enhance productivity with AI.2. Gain ready-made solutions for all HR functions.3. Master tools that help you work faster and smarter.4. Stay ahead by integrating AI into your HR strategy.Who Is This Course ForHR professionals who want to improve their productivity and implement innovative solutions quickly and effectively in their work.What You Will Learn• Over 100 ready-to-use queries across 20 HR areas, from recruitment to offboarding.• Practical examples and a clear understanding of how AI tools can enhance HR processes.What You'll GainBy completing this course, you'll be able to:• Handle more tasks efficiently without spending hours searching for information.• Use AI tools intelligently to streamline your workflows and reduce reliance on external assistance.What Sets This Course ApartThis is the first and only HR course on ChatGPT offering a unique collection of ready-made queries, enabling you to apply AI solutions directly to your work with ease.This version avoids any potential policy violations by focusing on course content and benefits while avoiding brand endorsements or direct promotion of external tools.
Who this course is for
HR manager, HR Specialist, HR Director
Homepage:

https://www.udemy.com/course/chatgpt-for-hr-and-recruiters-12-academic-hours-200-tools/

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Free Download Code, Train, Deploy - The AI Engineer's Path to Success
Published: 12/2024
Created by: Vivian Aranha
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 259 Lectures ( 51h 13m ) | Size: 21 GB

Everything you need to know about AI Engineering - Hands-on from Algorithms, Programming to Real Projects
What you'll learn
Master Python for AI: Write efficient Python code, essential for AI and ML programming tasks.
Data Preprocessing Skills: Prepare, clean, and transform data to enhance model performance.
Statistical Knowledge: Apply core statistics to understand data patterns and inform decisions.
Build Machine Learning Models: Develop and fine-tune ML models for classification, regression, and clustering.
Deep Learning Proficiency: Design and train neural networks, including CNNs and RNNs, for image and sequence tasks.
Utilize Transfer Learning: Adapt pre-trained models to new tasks, saving time and resources.
Deploy ML Models with APIs: Create scalable APIs to serve ML models in real-world applications.
Containerize with Docker: Package models for portable deployment across environments.
Monitor and Maintain Models: Track model performance, detect drift, and implement retraining pipelines.
Complete ML Lifecycle: Master end-to-end AI project skills, from data to deployment and ongoing maintenance.
Requirements
Foundational Math Skills: Understanding of algebra and basic calculus concepts (derivatives, functions) for ML.
Interest in AI and ML: A passion for learning AI, machine learning, and data-driven technologies.
Laptop/Computer: A device capable of running data processing and ML libraries like TensorFlow, PyTorch, and Docker.
Curiosity and Perseverance: Willingness to solve problems, experiment with data, and work through challenges.
Description
Welcome to the AI Mastery Bootcamp, a comprehensive, hands-on program designed to transform beginners into skilled AI engineers. Over the course of 16 weeks, you will learn how to build, train, and deploy machine learning models, step by step, using the latest tools and techniques. This bootcamp focuses on practical skills, empowering you to apply artificial intelligence to solve real-world problems and create innovative solutions.The course starts with the fundamentals, covering essential topics like Python programming, data preprocessing, and an introduction to machine learning. As you progress, you'll dive deeper into advanced concepts such as neural networks, deep learning, and natural language processing. You will also explore powerful AI frameworks like TensorFlow, PyTorch, and Hugging Face, which are essential for modern AI development.This bootcamp is ideal for anyone passionate about artificial intelligence, whether you're starting from scratch or looking to deepen your expertise. You don't need any prior experience with AI-just a willingness to learn and explore. By the end of the program, you'll have the skills and confidence to build AI solutions from the ground up, making you ready to take on industry challenges or pursue advanced AI research.Join us on this exciting journey and become a part of the future of technology!
Who this course is for
Aspiring AI Engineers: Those looking to build a career in AI and gain hands-on, production-ready skills.
Data Scientists and Analysts: Professionals who want to expand their expertise to include machine learning, deep learning, and model deployment.
Software Engineers: Developers interested in applying programming skills to AI and machine learning projects.
Career Changers: Individuals from non-technical backgrounds with foundational Python knowledge, eager to transition into AI.
Graduate Students: Students in data science, computer science, or related fields wanting a practical, job-ready experience in AI engineering.
Tech Entrepreneurs: Founders and CTOs interested in understanding AI for building AI-driven products or managing AI teams.
Homepage:

https://www.udemy.com/course/ai-engineering-complete-bootcamp-masterclass/

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[WarezDownload]

Free Download Communication series P3 - AMBA AXI in Verilog
Published: 12/2024
Created by: Kumar Khandagle
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 126 Lectures ( 9h 20m ) | Size: 3.26 GB

Step by Step Guide from Scratch
What you'll learn
Essential principles of AXI Stream, AXI Lite and AXI Full.
Implementation of AXI Stream, AXI Lite and AXI Full master and slave from scracth.
Implementation of AXI Burst modes in Verilog.
Implementation of AXIS Arbiter, AXIS FIFO and AXI Lite GPIO from scratch.
Requirements
Basics understanding of Verilog and Digital Electronics
Description
AXI (Advanced eXtensible Interface) is widely used in System-on-Chip (SoC) designs because it provides a highly efficient and flexible interconnect solution for complex systems.Master the essentials of the AXI protocol with our hands-on course, designed to provide in-depth knowledge of AXI fundamentals in Verilog. With 95% coding and only 5% theory, the focus is on practical, real-world skills. You will explore the signals of AXI Stream, AXI Lite, and AXI Full interfaces and build AXI Master and Slave components from scratch. Learn to implement various burst modes, verify AXI transactions using the AXI protocol checker, and design advanced components like AXI Stream FIFOs, arbiters, and AXI Lite GPIO modules. The course emphasizes coding practice while offering essential theoretical insights to strengthen your understanding of AXI's intricacies. Ideal for design and verification roles, this training equips you with the skills to excel in your career and confidently tackle challenging interviews. Whether you're a beginner or an experienced professional looking to sharpen your expertise, this course provides a comprehensive learning experience. In addition, you'll gain exposure to real-world applications of AXI in complex systems, enhancing your ability to design, debug, and verify AXI-based solutions. Enroll now to gain the knowledge and hands-on experience needed to master AXI in Verilog and take a significant step forward in your VLSI journey.
Who this course is for
A VLSI engineer is interested in constructing Custom AXI peripheral in Verilog for SoC.
Homepage:

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[WarezDownload]

Free Download Complete Asana Project Management Application Online Course
Published: 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 210.69 MB | Duration: 1h 41m
Master Asana Project Management Application - Learn how to create powerful dashboards and project plans

What you'll learn
Asana Project Management
Create Project Plans
Create Portfolios
Add Goals
Share Projects
Send Messages
Create Dashboards
Create Forms
Manage Tasks
Customize Fields
Requirements
No Experience Required
Basic Internet Access Required
Description
Hi Udemy User,It's Mandy. I wanted to personally thank you for choosing my Asana Project Management Application online class.I am a PMP and CompTIA Certified Project Manager with years of IT experience.In these how to project management videos, you will learn everything and anything you need to master project management in the Asana application.You will learn how to create robust project schedules and dashboards.You will learn how to create amazing project plans.You will learn how to create and manage your tasks.You will learn how to assign resources to your project plans.You will learn how to create powerful gantt charts.You will learn how to invite people to share feedback on your project plans.You will learn how to track your project plans and view your calendar.You will learn how to view your messages and comment on tasks.I will walk you through each module step by step so you can follow along using Asana free application.I will keep it simple, comprehensive and concise to make the experience easy and enjoyable.You will learn how to the Asana Project Management application in record time.If you have any questions, I will also make myself readily available to answer question you may have.This class is designed for all levels.I look forward to seeing you in my class!Mandy
Overview
Section 1: Asana - Getting Started
Lecture 1 Introduction
Lecture 2 How To Sign Up
Lecture 3 Asana Overview
Section 2: Asana Project Management
Lecture 4 Create a Project
Lecture 5 Manage Tasks
Lecture 6 Add Fields
Lecture 7 My Workspace
Lecture 8 Assign Tasks
Lecture 9 Add Goals
Section 3: Asana Portfolios
Lecture 10 Create a Portfolio
Section 4: Asana Views
Lecture 11 Timeline View
Lecture 12 Project Board
Lecture 13 Dashboard View
Lecture 14 Gantt View
Section 5: Asana Forms
Lecture 15 Workflow Forms
Section 6: Asana Messages
Lecture 16 Send Messages
Lecture 17 Share a Project
Lecture 18 Manage Your Inbox
Section 7: Asana Dashboards
Lecture 19 Create a Dashboard
Section 8: Asana Thanks
Lecture 20 Thanks
Anyone Who Wants To Use Asana To Manage Project Plans,Anyone Who Wants To Learn Asana Project Management Application


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