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Free Download Pluralsight - Structured Streaming in Apache Spark
Released 2/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 59m 17s | Size: 172 MB
Processing real-time data is essential for making timely decisions in today's fast-paced world. Learn how to build and optimize real-time data processing pipelines using Apache Spark and integrate with tools like Kafka for robust, scalable solutions.

Handling real-time data is a critical challenge for businesses aiming to make fast, data-driven decisions in domains like finance, e-commerce, and IoT.
In this course, Structured Streaming in Apache Spark, you'll gain the ability to design, implement, and optimize real-time data pipelines using Apache Spark.
First, you'll explore the fundamentals of stream processing, including reading and transforming streaming data from sources like sockets and files.
Next, you'll discover how to leverage triggers, output modes, and checkpointing to ensure reliable and efficient stream processing workflows.
Finally, you'll learn how to integrate Apache Spark with Apache Kafka to consume, transform, and aggregate real-time streaming data.
When you're finished with this course, you'll have the skills and knowledge of Apache Spark streaming needed to process and analyze real-time data for scalable, industry-ready applications.
Homepage:

https://www.pluralsight.com/courses/apache-spark-structured-streaming

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Free Download Python Programming Bootcamp From Basics to Expert (2025)
Published: 2/2025
Created by: Mohit .
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 112 Lectures ( 21h 16m ) | Size: 8 GB

Python basics, data structures, OOP, functional programming, API , Data Exploration
What you'll learn
Master Python Basics: Learn Python installation, syntax, variables, operators, and core programming concepts like loops and conditionals.
Explore Python Data Structures: Gain proficiency in using strings, tuples, lists, dictionaries, and their operations.
Understand Python Functions: Learn to create functions with arguments, return values, default values, and variable-length arguments.
Handle Files and Exceptions: Develop skills in file handling and managing exceptions for robust programming.
Utilize Python Libraries: Explore special functions, random module, collections, and modules like datetime, time, and pytz.
Implement Advanced Techniques: Work with regular expressions, object-oriented programming (OOP), and Python's operating system interfaces.
Work with Multithreading and Multiprocessing: Learn to optimize tasks using Python threading and multiprocessing.
Requirements
No Prior Programming Experience Needed: This course is designed for absolute beginners as well as those looking to deepen their Python knowledge.
A Computer with Internet Access: Learners need a Windows, macOS, or Linux computer with an active internet connection for downloading tools and materials.
Basic Computer Skills: Familiarity with using a computer, navigating files, and installing software is helpful but not mandatory.
Curiosity and Willingness to Learn: A positive mindset and eagerness to explore programming concepts will help you succeed in this course.
Description
This course is designed to provide a thorough understanding of Python programming, starting from the basics and progressing to advanced concepts. Whether you are a beginner or an experienced programmer looking to enhance your skills, this course will equip you with the knowledge and practical experience needed to master Python. The course is structured to cover a wide range of topics, ensuring a holistic learning experience.Introduction to Python and InstallationThe course begins with an introduction to Python, highlighting its simplicity and versatility. You will learn how to install Python on different operating systems, including Windows and Linux. We will also cover the use of Virtualenv, a tool to create isolated Python environments, which is essential for managing dependencies and avoiding conflicts between projects.Basic Python Syntax and VariablesNext, we delve into the basic syntax of Python, including the use of backslashes, strings inside quotes, escape sequences, and formatted output using f-strings. You will also learn about Python variables and the assignment statement, which are fundamental to writing any Python program.Operators and Control StatementsThe course then moves on to Python operators, which are used to perform operations on variables and values. You will learn about control statements, including if and else statements, which allow you to control the flow of your program based on certain conditions.Loops and Control FlowWe will explore different types of loops in Python, including for loops and while loops, which are used to repeat a block of code multiple times. You will also learn about the break, continue, and pass statements, which provide additional control over the flow of your loops.Data Structures: Strings, Tuples, Lists, and DictionariesThe course covers essential Python data structures such as strings, tuples, lists, and dictionaries. You will learn how to manipulate strings using subscript operators, slicing, and various string methods. For tuples and lists, we will cover accessing values, indexing, slicing, updating, and using built-in functions like max() and min(). Additionally, you will learn about dictionary operations, functions, and methods, which are crucial for handling key-value pairs.Functions and ModulesFunctions are a cornerstone of Python programming, and this course will teach you how to define and use functions with arguments, return values, default arguments, and variable-length arguments. You will also learn about the global statement and the scope of variables. The course will introduce you to Python modules and packages, including how to import and locate modules, and how to create your own packages.Exception Handling and File I/OException handling is a critical aspect of robust programming. You will learn how to use try-except blocks, handle multiple exceptions, and raise your own exceptions. The course also covers file input/output operations, including reading from and writing to text files, and using the Python Pickle module for serialization and deserialization.Advanced Topics: Lambda, Map, Filter, and ReduceThe course delves into advanced topics such as lambda functions, and the map, filter, and reduce functions, which are powerful tools for functional programming. You will also learn about special functions like repr(), sorted(), isinstance(), len(), dir(), zip(), sum(), and eval().Random Module and CollectionsWe will explore the Python Random module, which provides functions for generating random numbers and making random choices. The course also covers the Collections module, including Counter and Deque, which are useful for counting and managing collections of items.Date and Time HandlingHandling dates and times is a common requirement in programming. This course will teach you how to work with the Time, Datetime, and Pytz modules to manage and manipulate date and time data effectively.Regular Expressions and OOPRegular expressions are a powerful tool for text processing, and you will learn how to use them in Python with functions like match(), search(), sub(), and findall(). The course also covers Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, method overriding, operator overloading, and private variables.Operating System Interfaces and LoggingYou will learn how to interact with the operating system using Python's os module, which provides functions for file and directory operations. The course also covers Python logging, which is essential for debugging and monitoring your applications.Concurrency: Threading, Multiprocessing, and SubprocessThe course introduces you to concurrent programming in Python, covering threading, multiprocessing, and the subprocess module. These concepts are crucial for writing efficient and scalable applications.Configuration and DecoratorsYou will learn how to use the Configparser module to avoid hardcoding configuration values in your code. The course also covers decorators and generators, which are advanced features that can enhance the functionality and readability of your code.Data Exploration with Pandas, Numpy, and MatplotlibData exploration is a key skill in data science, and this course will teach you how to use Pandas for data manipulation, Numpy for numerical computations, and Matplotlib for data visualization.Python Interaction with MySQL and Web APIsFinally, the course covers how to interact with MySQL databases using Python, and how to work with Web APIs to fetch and manipulate data from the web.By the end of this course, you will have a comprehensive understanding of Python programming, from basic syntax to advanced concepts, and you will be well-equipped to tackle real-world programming challenges.
Who this course is for
Beginners in Programming: Individuals with little to no programming experience who want to start their coding journey with Python.
Aspiring Python Developers: Students and professionals looking to master Python for software development, data analysis, or automation.
Professionals Switching to Python: Developers or IT professionals familiar with other programming languages who want to transition to Python.
Homepage:

https://www.udemy.com/course/python-programming-bootcamp-from-basics-to-expert-2025/

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Free Download Salesforce Energy and Utilities Cloud - The Complete Guide
Published: 2/2025
Created by: Dynamo Studies
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 29 Lectures ( 3h 42m ) | Size: 1.5 GB

Become a Salesforce Certified Energy and Utilities Cloud Accredited Professional
What you'll learn
Salesforce Energy & Utilities Cloud Over View
Energy & Utilities Cloud Solution Overview
Energy and Utilities Console Foundations
Energy and Utilities Data Model
Industries CPQ - Foundations
Enterprise Product Catalog - Foundations
Contract Lifecycle Management - Foundations
Salesforce Field Service - Foundations
Energy and Utilities Cloud Exam PRACTICE SET
Requirements
No Programming experience needed. You will learn everything you need to know.
Description
Salesforce Energy & Utilities Cloud: The Complete GuideThis comprehensive course provides a deep dive into Salesforce Energy & Utilities Cloud, equipping you with the knowledge and skills necessary to pass the Energy and Utilities Cloud Accredited Professional Exam. From understanding the core functionalities to implementing advanced solutions, this course caters to a wide range of learners, including business analysts, system administrators, developers, and consultants seeking to specialize in the Salesforce energy and utilities domain and transform the business.The course begins with a foundational Overview of the energy and utilities industry, exploring the key challenges and opportunities facing organizations today. We then introduce Salesforce and its relevance to the sector, highlighting the benefits of a unified platform for managing customer relationships, operations, and data. A detailed exploration of Energy & Utilities Cloud follows, covering its pre-built components and industry-specific data models. You will learn how the platform addresses critical business processes.You will work with real-world scenarios to configure and customize Energy & Utilities Cloud, tailoring it to meet the specific needs of different energy and utility providers.The course delves into specific functionalities within Energy & Utilities Cloud, including:Energy and Utilities Cloud Accredited Professional Exam Overview: Go through the details about the energy & utilities cloud accredited exam | How to Register for Exam | Exam Outline | Technical Learning Journey | RECOMMENDED TRAINING AND REFERENCES.Energy & Utilities Cloud Over View: Key Industry Terms | Types of Utility, Energy, and Waste Companies | Global Utility Market Models | Challenges in E&U Industry | Common Energy and Utilities Processes | Energy Product Measurements.Energy and Utilities Cloud Solution Overview: Energy and Utilities Cloud Solution Overview | Customer 360 View | Key Users | Product Architecture | End-to-end process vision.Energy and Utilities Console Foundations: Energy and Utilities 360 | Vlocity Interaction Launcher | Account Details and Customer Story | Assistant, Notifications and Actions | How to Build Console 360.Energy and Utilities Data Model: Energy & Utility Data Model | Customer Data Model | Customer acc & Contracted service Model | Residential Account Structure | Commercial or Industrial Data Model | Deep dive into Contracts Data Model.Industries CPQ - Foundations: CPQ Order Capture | Quotes and Proposals | Industries CPQ Orders | Asset Management | Multisite Quotes and Orders | Industries attribute-based Pricing | CPQ Promotions and Discounts.Enterprise Product Catalog - Foundations: Enterprise Product Catalog (EPC) Introduction | Shared Catalog | Product Designer Basics | Industries or Vlocity Picklists | Product Attributes | Object Types | Products and Product Bundles.Contract Lifecycle Management - Foundations: Introduction | Industries CLM capabilities | Key stakeholders & Personas | Lifecycle Management | Contract Management | Industries Document Generation | Document Template Designer.Field Service - Foundations: Key Field Service Users | Field Service Scheduling | Dispatcher Console | Field Service Mobile | Optimization | Appointment Assistant | Offline Briefcase | Visual Remote Assistant.Energy and Utilities Cloud Exam PRACTICE SETThroughout the course, You will learn how to design scalable solutions, manage user access and security, and ensure data quality. This course is designed to empower you to become a proficient Energy & Utilities Cloud professional, capable of driving innovation and transformation within your organization. Whether you are a business user looking to improve processes or a technical expert seeking to implement solutions, this course provides the knowledge and practical experience you need to succeed in Energy and Utilities Cloud Accredited Professional Exam. Please Join us and unlock the full potential of Salesforce Energy & Utilities Cloud.
Who this course is for
This course caters to a wide range of learners, including business analysts, system administrators, developers, and consultants seeking to specialize in the Salesforce energy and utilities domain.
Homepage:

https://www.udemy.com/course/salesforce-energy-utilities-cloud-the-complete-guide/

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Free Download Securing Windows Server 2022 100% LABS Hands On Experience
Published: 2/2025
Created by: Network Specialist (Mo Max)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 43 Lectures ( 5h 41m ) | Size: 2.51 GB

Master how to secure Windows Server 2022 Using IPSEC/GPOs/BitLocker/Access Permissions/Windows Firewall and More.
What you'll learn
Secure Windows Server 2022 Using GPOs
Implementing IPSEC To Secure all traffic on Windows Server 2022
Configuring Access Control List To Limit access to Resources Using NTFS and Share Permissions
Configuring Windows Firewall For Advanced Security
Securing AD On Windows Server 2022
Configuring Bit Locker Drive Encryption
Requirements
Basic Computer and Network Skills
Description
About This Class ( My Entire Course is 100% HANDS ON)Do You want to get the real world experience On Securing Windows Server 2022 than this course is for you. I Don't do any PowerPoint slides instead the entire course is just Labs (Hands On Experience) as if you were working in a real environment. Why This ClassThis Short Course Will be the same as You worked as a Network Administrator For a Company For at least 2 Years that You can put on your resume because you will actually see every section in action with labs only as you did it in a real environment. (Boot Camp Class) . If you do the 6 Hour Lab that is in this class i can assure you it will be equivalent to a 2 year experience in the Field. What Will You Gain From This ClassThis course will enhance your skills in better understating by actually doing it as we were in the same classroom utilizing Securing Windows Server 2022.In This Course you will not just learn you will actually do it yourself as if you were in an actual company doing the following:1) How to setup AD and join Client PCs To The Domain.2) Securing Windows Server using GPOs3) Applying NTFS and Share Permissions4) Configuring Bit Locker Drive Encryption.5) Managing Windows Firewall for Inbound and Outbound Connections.6) Hardening Windows Server using the latest Hot Fixes patches and updates and Using WSUS. 7) Stopping and Disabling Services that are not required.8) Configuring IPSEC To secure ip traffic across the network.9) Working with AD Certificate Services by utilizing EFS.10) Securing User accts in AD.Who is This Class For Anybody that wants to put time and effort to learn real actual Security Skills to reflect in the IT Field. This Class will make your life much easier than what you think you know. We always learn new skills every single day in the IT Field.Do you want to become a Real Network Administrator (Not Just on Paper) than This class is for you.Facts About The CourseDo I need any Work experience?If You or Don't Work In The IT Field You Should Be Fine Taking This Course.Will I Get Support From You?Yes You will.I Already Work In The IT Field Will I Benefit From This Course?Working In The IT Field Doesn't Mean You Will Cover All Concepts Of Networking.Will I get a certificate of completion at the end?Yes You Will.
Who this course is for
Network Administrators
Network Engineer
Tech Support
IT Support Specialist
Anyone Who wants to enter the IT Field
Homepage:

https://www.udemy.com/course/securing-windows-server-2022-100-labs-hands-on-experience/

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Free Download Shader Development from Scratch with Cg - Unity 6 Compatible
Last updated: 2/2025
Created by: Penny de Byl,Penny Holistic3D
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 79 Lectures ( 10h 26m ) | Size: 7.66 GB

Learn to program the graphics pipeline in Unity for creating unique visual surfaces for game objects.
What you'll learn
Use Unity Shaderlab to create their own shader effects with CG/HLSL.
Apply their knowledge of simple mathematics to change the visual surface of virtual objects.
Work with mesh vertices and textures to develop unique rendering effects.
Demonstrate a knowledge of the graphics pipeline and apply it to problem solving shading issues.
Requirements
You should be familiar with the Unity Game Engine.
You should be able to program in a procedural language such as C#.
Description
Now Updated for Unity 2017 to Unity 6!This course presents a comprehensive guide to programming with Cg and High Level Shader Language in Unity's Shaderlab, to create your own visual surface effects for colouring and lighting game objects. It covers the mathematics of light and surfaces and steps you through the recreation of some of the most popular shaders. Many computer graphics concepts will be presented to help you understand the graphics pipeline and provide you with an essential toolkit of rendering knowledge, that will have you developing your own transparent, animated and texturised shaders in no time.In this course, Penny teaches all the invaluable skills you will require to program the computer graphics pipeline in Unity from scratch using her internationally acclaimed teaching style and knowledge from over 25 years working with games and graphics. But hold on tight as you'll be taken on a journey across the computer graphics realm as it is taught to post-graduate university students. Through detailed Descriptions and hands-on workshops examining all you need to know about rendering queues, vector mathematics, graphics buffers, colour theory, 3D meshes, texture mapping, lighting models and much more.Learn how to program and work with:variables and packed arraysmeshes, vertices and UVsthe mathematics for working with objects in 3D and 2D spacesa variety of lighting models from creating flat shaded objects to highly reflective shiny surfacesbump maps for adding extra depth and dimension to surface texturesspecial effects such as holographic, scrolling textures and surface deformationsthe variety of graphics buffers used in the rendering pipelineforward and deferred lightingsurface, vertex and fragment shaders written in CG/HLSLvolumetric renderingContents and OverviewAfter diving right in and creating your very first shader from scratch, we will begin the lessons by examining how 3D models are structured and how that is used within shader code to colour and display the surface in computer graphics. You'll discover all the properties of a shader and how they can be controlled in code and via values fed in through Unity's Inspector.Following this, we will examine a variety of lighting models and how lights and surface textures can influence the final look of a render. Included here, an Overview of the buffers involved in the rendering queue will be given with practical examples for creating special effects that require more than one draw call. Students will also be exposed to the power of vector mathematics and especially the dot product and its role in creating beautiful effects such as outlines, rim lighting and holograms. In addition, issues surrounding transparency and blending will be discussed along with many practical hands-on workshops in which students can flex their newfound skills to interrogate the code they write for better understanding.The next section brings together all the skills learned throughout together, to develop some of the more popular complex shaders including animated plasma and animated water with waves.Finally volumetric shaders are covered in which you will follow along to create special effects such as fake geometry, fog and clouds.What students are saying about this course:This is the best course I've ever taken. It is perfect for me. I worked for 15 years in feature animation. A large part of my career was spent developing shaders for a proprietary renderer. This course has already helped me to bring the value of my previous experience into Unity.Best shader course I've come across. There are enough and more tutorials on youtube to teach you how to develop your own shaders, but nothing falls into the class of Penny's tutorials. They are clear and to the point. Really happy about this one.Wow! Thank you so much! If there were 10 stars - this course would deserve it. Going from absolutely knowing nothing about Shader writing to have a profund understanding about it.I wanted to let you know that I just finished your shader course and thought it was fantastic. It was a pleasure to take the course and finally get a grasp on a topic that seemed so foreign to me not so long ago. Your teaching style and personality really worked for me and made learning a breeze!
Who this course is for
Anyone fascinated by the way computer graphics works.
Anyone wanting to understand how to write their own shaders.
Anyone who loves the visual effects that can be achieved through simple code and mathematics.
Homepage:

https://www.udemy.com/course/unity-shaders/

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Free Download Solving the 3x3 Rubik's Cube for the ABSOLUTE Beginner!
Published: 2/2025
Created by: Jonathan Reichert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 54m ) | Size: 1.2 GB

Learn how to solve a 3x3 Rubik's Cube, with the easiest possible method!
What you'll learn
Understand the Basics - Learners will grasp the fundamental structure of a 3x3 Rubik's Cube, including its pieces, movements, and notation..
Master a Beginner-Friendly Solving Method - Learners will be able to follow a step-by-step approach to solving the cube using an easy-to-learn method.
Develop Pattern Recognition - Learners will recognize key cube patterns and apply the correct algorithms to solve each stage efficiently.
Solve the Cube Independently - By the end of the course, learners will confidently solve a scrambled Rubik's Cube on their own, without external guides.
Requirements
No experience required. A 3x3 Rubik's Cube is required in order to practice the content of this course.
Description
Master the 3x3 Rubik's Cube: The Absolute Beginner's Guide to Solving in Simple StepsHave you ever picked up a Rubik's Cube and thought, Where do I even begin? If so, this course is for you! Designed specifically for absolute beginners, this step-by-step guide will take you from never having solved a cube before to confidently completing it. Don't forget to pickup a standard 3x3 Rubik's Cube to work with!In this course, you'll learn a beginner-friendly method that breaks the solving process into simple, easy-to-follow steps. You don't need to spend hours getting frustrated-my approach focuses on understanding the cube's mechanics and developing muscle memory through guided practice and repetition, at a laid-back pace.This course is perfect for:Anyone who has never solved a Rubik's Cube beforePeople who have tried but felt stuck or overwhelmedKids, teens, and adults who want a fun and rewarding challengeBy the end of this course, you'll be able to pick up any standard 3x3 Rubik's Cube and solve it with confidence. No prior experience is needed-just bring your cube and your curiosity! Jonathan offers a very relaxes pace, with lot's of encouragement!Let's get started and unlock the mystery of the Rubik's Cube together!
Who this course is for
This course is designed for absolute beginners who want to learn how to solve a 3x3 Rubik's Cube step by step. It is perfect for: Complete beginners who have never solved a Rubik's Cube before and feel overwhelmed by where to start. Casual puzzle enthusiasts who want to develop a fun and rewarding skill. Parents and educators looking for a simple method to teach kids how to solve the cube. A great task for students and hobbyists interested in improving problem-solving, memory, and spatial reasoning skills.
Homepage:

https://www.udemy.com/course/solving-the-3x3-rubiks-cube-for-the-absolute-beginner/

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Free Download Stock Trading Mastery - Analysis & Algorithmic Coding
Published: 2/2025
Created by: George S Junior
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 59 Lectures ( 8h 38m ) | Size: 3.66 GB

From Market Analysis to Algorithmic Execution - A Complete Guide
What you'll learn
Students will Learn Fundamental Analysis, master the evaluation of financial statements, economic indicators, and market trends to access a stock's true value
Students will gain understanding of Technical Analysis, learn chart interpretation, indicators, and patterns to identify profitable trading opportunities.
Students will learn algorithmic trading to automate trading strategies using Python to enhance decision making and trade efficiency.
Students will be equipped with the skills to analyze markets effectively and implement algorithmic strategies to optimize their trading performance.
Requirements
No prior knowledge required; the course will guide students step-by-step from the basics of financial markets to advanced algorithmic trading concepts.
Description
Stock Trading Mastery: Analysis & Algorithmic Coding.Master Technical & Fundamental Analysis with Python Automation.Are you ready to take your trading skills to the next level? Whether you're a beginner or an experienced trader, this course will provide you with a complete roadmap to mastering financial markets-combining technical analysis, fundamental analysis, and algorithmic trading with Python.What You'll Learn:Technical Analysis Mastery - Learn price action strategies, chart patterns, indicators, and volume analysis to make data-driven trading decisions.Fundamental Analysis Demystified - Evaluate stock valuation, macroeconomic indicators, financial statements, and company performance to identify market opportunities.Algorithmic Trading in Python - Automate trading strategies, build indicators, backtest strategies, and optimize your trading execution.Stock, Forex, and Crypto Strategies - Gain insights into multi-market trading with proven strategies that work across different asset classes.Risk Management & Trade Execution - Minimize risks and maximize profits with advanced money management techniques.Why Take This Course?Comprehensive & Practical - Covers both traditional and algorithmic trading for real-world applications.Hands-On Python Coding - Step-by-step coding tutorials for automated trading, indicators, and strategy backtesting.Data-Driven Approach - Learn how to leverage financial data, economic reports, and market trends to gain an edge.Full Lifetime Access - Learn at your own pace with downloadable resources and Python scripts.Who Is This Course For?Traders who want to improve their trading edgeInvestors looking to understand market analysis and automationPython programmers interested in financial market applicationsAnyone who wants to learn how to analyze, automate, and optimize trading strategiesBy the end of this course, you will have the skills to confidently analyze markets, create your own trading strategies, and automate them using Python.Enroll now and start your journey to trading mastery!
Who this course is for
Individuals with little to no enxperience who want to understand how financial markets work and build a strong foundation in trading strategies.
Traders interested in automating their strategies using python to enhance decision-making and efficiency.
Traders who want to enhance their manual trading techniques with algorithmic automationm.
Those looking to back test strategies, optimize their trades, and gain insights through data-driven analysis.
Homepage:

https://www.udemy.com/course/stock-trading-mastery-analysis-algorithmic-coding/

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Free Download The Deep Reinforcement Learning Guide to Connect Four
Published: 3/2025
Created by: Alex Palioudakis
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 57 Lectures ( 13h 58m ) | Size: 4.4 GB

Master Deep Reinforcement Learning by building an AI agent from scratch to excel at Connect Four.
What you'll learn
Implement Tic-tac-toe and Connect Four in Python from scratch
Understand the foundations of Reinforcement Learning (RL)
Understand the basics of Deep Learning (DL)
Handle the challenges combining RL and Dl into Deep Reinforcement Learning (DRL)
Implement an artifical intelligent (AI) agent that plays Connect Four using DRL
Develop AI agents for simple and complex games
Build and optimize AI models in Python
Understand heuristic approaches in implementing bots for games
Requirements
Basic programming knowledge: Familiarity with Python will help you follow along with the coding examples and exercises. However, we have a quick Python refresher with all the concepts that we will use later.
Basic understanding of machine learning concepts: Some exposure to general machine learning principles is helpful but not required (like linear regression, training models, understanding data, etc).
Familiarity with development tools: Having basic experience using an IDE (e.g., PyCharm) or Jupyter notebooks can streamline the coding process, but we will guide you on how to set these up and how to use them.
For beginners, don't worry! We'll cover the essential concepts in reinforcement learning and neural networks, and you'll be able to follow along even with limited prior experience. No specialized equipment is required beyond a computer capable of running Python which we'll help you set up.
Description
Are you ready to elevate your AI skills by mastering Deep Reinforcement Learning (DRL) through an exciting project? Embark on a comprehensive journey into the world of DRL with our meticulously designed course, "The Deep Reinforcement Learning Guide to Connect Four." This course is tailored to guide you from foundational concepts to advanced applications, culminating in the creation of a proficient DRL player for the game of Connect Four.Course Highlights:Foundations of Reinforcement Learning: Begin with an in-depth exploration of tabular reinforcement learning using the classic game of Tic-Tac-Toe. Understand the core principles and methodologies that form the bedrock of Reinforcement Learning (RL).Transition to Complex Environments: Progress to the more intricate game of Connect Four, where you'll learn to implement heuristics to navigate the limitations of tabular methods.Introduction to Neural Networks: Dive into the realm of neural networks, focusing on their role as value approximation functions. You'll gain hands-on experience by constructing a neural network library from scratch using only NumPy, demystifying the mechanics behind these powerful models.Building a DRL Player: In the culminating chapter, integrate all acquired knowledge to develop a Deep Reinforcement Learning player for Connect Four. Despite utilizing a straightforward architecture with dense layers, your DRL agent will exhibit impressive gameplay capabilities.Why Enroll?Comprehensive Curriculum: Our course offers a structured learning path, ensuring a solid grasp of both theoretical concepts and practical implementations.Hands-On Projects: Engage in a project that uses deep reinforce learning and provide tangible outcomes, enhancing your portfolio.Expert Guidance: Benefit from clear, concise explanations and step-by-step instructions, making complex topics accessible.Who Should Enroll?This course is ideal for:Aspiring AI and machine learning enthusiasts seeking to delve into reinforcement learning.Developers aiming to enhance their skill set with advanced DRL techniques.Anyone with a passion for understanding the intricacies of AI through practical applications.Join us in this educational adventure and equip yourself with the skills to design and implement sophisticated DRL agents from the ground up. Enroll now to start your journey in building advanced AI agents!
Who this course is for
This course is designed for anyone interested in learning how to build AI agents using deep reinforcement learning.
Aspiring AI developers: If you want to learn how to create AI models that can play games, make decisions, and optimize strategies, this course will guide you through step by step.
Software developers and engineers: If you're looking to expand your skill set into AI, neural networks, and reinforcement learning, this course will help you build a solid foundation.
Data scientists and machine learning enthusiasts: Those with an interest in reinforcement learning and its applications to game-playing AI, such as Tic-Tac-Toe and Connect Four, will find this course practical and engaging.
Students and academics: If you're studying computer science, machine learning, or AI, this course offers practical examples and hands-on coding experience to reinforce theoretical knowledge.
Beginners to AI and neural networks: Even if you have limited experience with AI or Python programming, this course is designed to ease you into these topics and help you understand how AI agents learn through reinforcement learning.
Whether you are looking to strengthen your knowledge of AI algorithms or explore how deep reinforcement learning can be applied to real-world scenarios, this course provides valuable insights and practical experience.
Homepage:

https://www.udemy.com/course/the-deep-reinforcement-learning-guide-to-connect-four/

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Free Download The Original Tai Chi Martial Art - Chen Style Old Form One
Last updated: 3/2021
Created by: David Yao
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 77 Lectures ( 9h 11m ) | Size: 10.4 GB

A traditional Kong Fu which combines mind, awareness and vital energy Qi to achieve mindfulness, relaxation and Fitness
What you'll learn
Chen Style Tai Chi Traditional Form One 74 Postures
The Concept of Qi - inherent vital energy
A system of deep breathing exercises.
Self defense skills using Tai Chi
Apply Tai Chi into sweating workout.
To keep mental and physical fitness
To achieve mindfulness and relaxation
Requirements
No, can be anyone without any basic
Good for everyone
No gear or special equipment needed
Description
Tai Chi or Shadow Boxing, another school of Kungfu in Chinese martial art culture, was born in Henan Province, 70km north to David Yao's native place.Tai chi, short for T'ai chi ch'üan or Tàijí quán (Chinese: 太极拳，太極拳; pinyin: Tàijí quán), is a traditional Chinese martial art which combines mind and awareness of our body, the deep diaphragmatic breathing and Qi, the inherent vital energy, through graceful movements to achieve mindfulness and relaxation. Tai chi is practiced for both its defense training, its health benefits and meditation.Qigong, qi gong, chi kung, or chi gung (simplified Chinese: 气功 qìgōng literally: "Life Energy Cultivation") is a holistic system of coordinated body posture and movement, breathing, and meditation used in belief it promotes health, spirituality, and martial arts training. Qigong practice typically involves moving meditation, coordinating slow flowing movement, deep rhythmic breathing, and calm meditative state of mind. Qigong can be viewed as a medicinal movement practice, combining breath work, relaxation, movement and self-massage all in one. In this courses, I will show you through breath control exercise and Tai Chi Skill to regain the peace of mind. Chen Style Traditional 74 Form LJ1 (陈氏太极拳老架一路 Chén shì tàijí quán lǎo jià yīlù Chen Style Tai Chi Traditional Form One; Chen Style Tai Chi Old Form Set One) is the foundation of all Chen Style Tai Chi which keeps the kicking, jumping and leaping movements which will apply in fighting. What makes Chen Style Tai Chi unique? It is 发力 fā lì, (releasing power; releasing power in explosive way), It integrates whole body power and keep body in a relax states when release the power in very short and explosive way. The hitting point can be fist, elbow or knee. This Fali is different with boxing or kickboxing. You can take some movements to practice in fast speed and this can be very good sweating workout for you. This will take you around 3 month to finish it. However, you can just take a single posture to practice.Tai Chi Strengthens Mind and BodyTai Chi's focus on posture and body placement may add benefits beyond what cardiovascular or resistance-training can provide. Tai Chi, a moving Yoga, does more than burn calories and tone muscles. It will enable you to gain flexibility and strength, reducing stress and allowing for greater relaxation. It's a total mind-body workout that combines strengthening and stretching poses with deep breathing and meditation or relaxation. The health benefits of tai chiThis gentle form of exercise can help maintain strength, flexibility, and balance, and could be the perfect activity for the rest of your life. Tai chi is often described as "meditation in motion, moving Yoga," which originated in China as a martial art. The Chen Style Tai chi is the oldest and parent form of the five traditional family styles of Tai chi. Chen-style is characterized by Silk reeling, alternating fast/slow motion and bursts of power. The Chen Style is Originated in Hen Nan Chen Jia Gou, 70 KM at north of David Yao's birth place.There is growing evidence that this mind-body practice, has value in treating or preventing many health problems. And you can get started even if you aren't in top shape or the best of health. In this low-impact, slow-motion exercise, you go without pausing through a series of motions. As you move, you breathe deeply and naturally, focusing your attention - as in some kinds of meditation - on your bodily sensations. Tai chi differs from other types of exercise in several respects. The movements are usually circular and never forced, the muscles are relaxed rather than tensed, the joints are not fully extended or bent, and connective tissues are not stretched. Tai chi can be easily adapted for anyone, from the most fit to people confined to wheelchairs or recovering from surgery.
Who this course is for
Who want learn Tai Chi to achieve Fitness
Who want Improve balance and flexibility
Who want Keep mental and physical fitness
Who want to experience the benefits of deep diaphragmatic breathing exercise
Who want to bring mind and awareness of our body,
Who want Relieve stress and gain vitality
Who want learn effective of self defence
Homepage:

https://www.udemy.com/course/the-original-tai-chi-martial-art-chen-style-old-form-one/

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Free Download The Ultimate SQL Bootcamp - Go Zero to Hero in SQL
Published: 3/2025
Created by: Unicliff Edutech
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 19h 56m ) | Size: 14.7 GB

Become an expert at SQL!
What you'll learn
Use SQL to query a database
Be confident in putting SQL and PostgreSQL on your resume
Replicate real-world situations and query reports
Use SQL to perform data analysis
Learn to perform GROUP BY statements
Requirements
No prerequisites, you will learn everything from scratch
Description
Learn SQL fast and easy with this course!In this course, you'll quickly learn how to read and write complex database queries using PostgreSQL, one of the most popular and in-demand SQL tools. The skills you learn here can also be used with other major SQL databases like MySQL, Microsoft SQL Server, Oracle, Amazon Redshift, and more.Learning SQL is a great way to boost your career because it's one of the top tech skills companies are looking for. This course will help you learn quickly, with challenges and tests along the way to make sure you understand everything!Here's what you'll learn in this course:How to use PostgreSQL and PgAdmin, two of the most popular tools for working with SQL.The basics of SQL syntax (the rules for writing SQL code).How to analyze data with GROUP BY commands and aggregate functions.How to write advanced queries using string operations and comparison operations.How to use logical operators to add more complex conditions to your queries.The most common SQL JOIN commands.How to create tables and databases with rules to control the data.How to use Python to improve your SQL skills.And much more!This course puts you in control right from the start! You won't just watch someone else code-you'll set up and restore databases yourself. Every section includes challenges that help you practice real-world tasks.I have years of experience teaching both online and in-person at big companies, and this course combines the best methods for learning at your own pace. You'll start with the basics and soon be working with advanced SQL commands, like handling timestamps and character data, just like a pro.SQL is one of the most in-demand skills for business analysts, data scientists, and anyone working with data. So, level up your skills and add SQL to your resume by joining today!
Who this course is for
Anyone interested in learning more about SQL, PostgreSQL, or SQL for data analysis and data science!
Homepage:

https://www.udemy.com/course/the-ultimate-sql-bootcamp-go-zero-to-hero-in-sql/

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Free Download Three.js Shading Language and Signed Distance Fields
Published: 3/2025
Created by: Sean Bradley
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 6m ) | Size: 4.8 GB

Learn all about the Three.js Shading Language while specialising in Signed Distance Fields.
What you'll learn
Threejs Shading Language
Signed Distance Fields
Using TSL with import maps or a build tool
Setting up a development environment
TSL imports or color, texture, convertColorSpace and positionLocal
Writing Fragment and Vertex Shaders
Generate patterns using fract, sin, cos, atan, floor, mod
Drawing SDF lines and shapes in 2D and 3D
Using Uniform and UniformArray
Drawing distance lines
Colouring 2D and 3D SDFs
Raymarching
Lighting 3D SDFs
SDF Shadows
SDF Reflections
SDF Union, Intersect and Subtraction
Requirements
This is an intermediate course about Three.js and you should already have some experience using it.
You will need a modern graphics card capable of running GLSL and WGSL shader code.
Description
Three.js Shading Language (TSL) is a framework built to simplify shader development within the Three.js ecosystem.Signed Distance Fields are a way to draw scenes and animations predominantly using mathematical functions.You can draw anything with Signed Distance Fields, and TSL makes that more accessible for developers, especially those without deep knowledge of low-level GLSL, WGSL or graphics programming.So, in the course, we will cover,Basic environment development setup,Importing the required libraries using import maps or a bundler / build tool,Discuss the pre-requisites of a TSL scene,Fragment Shader coordinates,Create several animated patterns from easy to more advanced,Draw various styles of lines,Implement Uniforms and UniformArray,Interact with our scenes using a GUI,Learn the basics of Signed Distance Fields,Draw distance lines using SDF information,Colouring and animating 2D SDFs,Learn the Basics of Raymarching,Lighting 3D SDFs using Lambertian, Ambient and Phong specular,Using Hard and Soft Shadowing,Implement SDF Reflections,Colouring and animating 3D SDFs.And moreBy using TSL's node-based shader graph system, developers can create and manage shaders without needing to write complex GLSL or WGSL code manually.TSL is renderer-agnostic, meaning shaders created with it work seamlessly across different rendering backends like WebGL and WebGPU.Since TSL is written at the Javascript or TypeScript layer, along side your existing Three.js code, you will be able to benefit from the features provided by your IDE, such as IntelliSense code completion, code formatting and linting. Your final production code can also benefit from tree shaking provided by your bundler.Thanks for taking part in my Three.js Shading Language (TSL) and Signed Distance Fields course.Sean
Who this course is for
People who have experience with Threejs and want to write shader code using the techniques of signed distance fields.
Homepage:

https://www.udemy.com/course/threejs-shading-language/

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Free Download Udemy - 5G & AI for everyone
Published: 2/2025
Created by: Rahul kaundal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 54m ) | Size: 1.57 GB

5G & AI Overview, 5G Architecture, Use cases of AI, Machine learning, deep learning, Gen AI in telecom
What you'll learn
5G Overview
Artificial Intelligence Basics
AI use in Telecom
5G Network Architecture
Machine Learning & its implementation in Telecom
Machine Learning Basics
Supervised Learning
Linear Regression
Logistic Regression
Requirements
It is a course for everyone from beginner to expert level
Description
5G, known as fifth generation, is a technology focused on providing better wireless connectivity in telecom domain by enabling -•Enhanced broadband (eMBB)•Massive machine to machine communication (MMTC)• Ultra reliable low latency communication (URLLC)AI and Machine learning is fueling the efficiency in Telecom with new use cases- including predictive analytics, network optimization, data-driven planning.1. Overview of 5GEvolution of Telecom TechnologiesWhat is 5G?Technical Capabilities of 5G5G Design Goals2. AI BasicsWhat is Artificial Intelligence (AI)?Case Study: How Siri WorksExample: Telecom Chatbots Leveraging AIWhat is Machine Learning (ML)?Example: Netflix Recommendation System & Telecom NetworksWhat is Deep Learning?How Facial Recognition WorksExample: Detecting KPI Deviations and Traffic SpikesWhat is Generative AI (GenAI)?Example: AI-Driven Predictive Use Cases in Telecom3. 5G ArchitectureOverview of Telecom Network ArchitectureBuilding Blocks of 5GRadio Access Network (RAN)Transport NetworkCore Network4. Machine Learning & its implementation in Telecom4.1 Machine Learning BasicsTypes of ML: Supervised, Unsupervised, ReinforcementML Use Cases in Telecom Networks4.2 Supervised LearningWhat is Supervised Learning ?Types of supervised learningUse of Supervised learning in Telecom4.3 Linear RegressionWhat is Linear RegressionHypothesisCost FunctionGradient DescentUse of linear regression in Telecom4.4 Logistic RegressionWhat is Logistic RegressionSigmoid Function
Who this course is for
Suitable for the engineers working in 5G and AI space or planning to get into technical domain of 5G and AI
Suitable for Managers working in telecom operators and planning to deploy or manage 5G networks
Suitable for beginners who are interested to get into telecom domain and learn new technology such as 5G and AI
Homepage:

https://www.udemy.com/course/5g-ai-for-everyone/

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Free Download Udemy - AWS Certified AI Practitioner (AIF-C01) By Chad Smith
Released 3/2025
By Chad Smith
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5h 43m | Size: 1.51 GB

Table of contents
Introduction
AWS Certified AI Practitioner (AIF-C01): Introduction
Module 1: Exam Foundation
Module Introduction
Lesson 1: Exam Guide
Learning objectives
1.1 Introduction
1.2 Target Candidate Description
1.3 Exam Content
1.4 Exam Question Domains
Module 2: Fundamentals of AI and ML
Module Introduction
Lesson 2: Basic AI Concepts
Learning objectives
2.1 Basic AI Terminology
2.2 Introduction to Machine Learning
2.3 Introduction to Deep Learning
2.4 Question Breakdown 1
2.5 Question Breakdown 2
Lesson 3: Practical Use Cases For AI
Learning objectives
3.1 AI Patterns and Anti-patterns
3.2 ML Techniques
3.3 Real-world AI Applications
3.4 AWS Managed AI/ML Services
3.5 Question Breakdown 1
3.6 Question Breakdown 2
Lesson 4: ML Development Lifecycle
Learning objectives
4.1 ML Pipeline Components
4.2 ML Model Sources and Deployment Types
4.3 Introduction to ML Ops
4.4 AWS ML Pipeline Services
4.5 ML Model Performance Metrics
4.6 Question Breakdown 1
4.7 Question Breakdown 2
Module 3: Fundamentals of Generative AI
Module Introduction
Lesson 5: Basic Concepts of Generative AI
Learning objectives
5.1 Basic Generative AI Terminology
5.2 Generative AI Use Cases
5.3 Foundation Model Lifecycle
5.4 Question Breakdown 1
5.5 Question Breakdown 2
Lesson 6: Generative AI Capabilities and Limitations
Learning objectives
6.1 Generative AI Advantages
6.2 Generative AI Disadvantages
6.3 Model Selection Decision Tree
6.4 Generative AI Business Value and Metrics
6.5 Question Breakdown 1
6.6 Question Breakdown 2
Lesson 7: AWS Generative AI Offerings
Learning objectives
7.1 AWS Generative AI Services and Features
7.2 AWS Generative AI Advantages and Benefits
7.3 AWS Generative AI Cost Tradeoffs
7.4 Question Breakdown 1
7.5 Question Breakdown 2
Module 4: Applications of Foundation Models
Module Introduction
Lesson 8: Foundation Model Design
Learning objectives
8.1 Pre-trained Model Selection Criteria
8.2 Model Inference Parameters
8.3 Introduction to RAG
8.4 Introduction to Vector Databases
8.5 AWS Vector Database Service
8.6 Foundation Model Customization Cost Tradeoffs
8.7 Generative AI Agents
8.8 Question Breakdown 1
8.9 Question Breakdown 2
Lesson 9: Foundation Model Performance
Learning objectives
9.1 Foundation Model Performance Metrics and Evaluation
9.2 Foundation Model Business Objective Criteria
9.3 Question Breakdown 1
9.4 Question Breakdown 2
Lesson 10: Foundation Model Training and Fine Tuning
Learning objectives
10.1 Foundation Model Training
10.2 Foundation Model Fine-tuning
10.3 Foundation Model Data Preparation
10.4 Question Breakdown 1
10.5 Question Breakdown 2
Lesson 11: Prompt Engineering
Learning objectives
11.1 Prompt Workflow
11.2 Prompt Engineering Concepts
11.3 Prompt Engineering Techniques
11.4 Prompt Engineering Best Practices
11.5 Prompt Engineering Risks and Limitations
11.6 Question Breakdown 1
11.7 Question Breakdown 2
Module 5: Responsible and Secure AI Solutions
Module Introduction
Lesson 12: Responsible AI System Development
Learning objectives
12.1 Responsible AI Features
12.2 AWS Responsible AI Tools
12.3 Responsible AI Model Selection Practices
12.4 Generative AI Legal Risks
12.5 AI Dataset Characteristics
12.6 AI Bias and Variance
12.7 AWS AI Bias Detection Tools
12.8 Question Breakdown 1
12.9 Question Breakdown 2
Lesson 13: Transparent and Explainable AI Models
Learning objectives
13.1 Transparency and Explainability Definitions
13.2 AWS Transparency and Explainability Tools
13.3 AI Model Safety and Transparency Tradeoffs
13.4 Human-centered AI Design Principles
13.5 Question Breakdown 1
13.6 Question Breakdown 2
Lesson 14: AI Security
Learning objectives
14.1 AWS AI Security Services and Features
14.2 Data Citations and Origin Documentation
14.3 Secure Data Engineering Best Practices
14.4 AI Security and Privacy Considerations
14.5 Question Breakdown 1
14.6 Question Breakdown 2
Lesson 15: AI Governance and Compliance
Learning objectives
15.1 AWS Governance and Compliance Services
15.2 Data Governance Strategies
15.3 Governance Protocols and Compliance Standards
15.4 Question Breakdown 1
15.5 Question Breakdown 2
Summary
AWS Certified AI Practitioner (AIF-C01): Summary






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Free Download Udemy - Advanced Data Science Methods and Algorithms
Published: 2/2025
Created by: Henrik Johansson
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 73 Lectures ( 35h 32m ) | Size: 13.7 GB

Learn Advanced Data Science Methods and Algorithms with Pandas and Python
What you'll learn
Knowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasks
Deep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidence
Advanced ensemble models such as the XGBoost models for prediction and classification
Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning
Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries
Advanced knowledge of A.I. prediction/classification models and automatic model creation
Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources
Master the Python 3 programming language for Data Handling
Master Pandas 2 and 3 for Advanced Data Handling
Requirements
The four ways of counting (+-*/)
Some Experience with Data Science, Data Analysis, or Machine Learning
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
Programming experience is not needed and you will be taught everything you need
The course only uses costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included
Description
Welcome to the course Advanced Data Science Methods and Algorithms with Pandas and Python!Data Science is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Data Science Methods and Algorithms to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Data Science methods and algorithms plus Pandas and Python. This course has exclusive content that will teach you many new things about methods and algorithms.This is a four-in-one master class video course which will teach you to advanced Regression, Prediction, Classification, Supervised Learning, Python 3, Pandas 2 + 3, and advanced Data Handling.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.You will learn to master the Python 3 programming language, which is one of the most popular and useful programming languages in the world, and you will learn to use it for Data Handling.You will learn to master the Pandas 2 and future 3 library and to use Pandas powerful Data Handling techniques for advanced Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language, and combined creates the world's most powerful coding environment for Advanced Data Handling.You will learnKnowledge about Advanced Data Science methods, algorithms, theory, best practices, and tasksDeep hands-on knowledge of Advanced Data Science and know how to handle Data Science tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeMaster the Python 3 programming language for Data HandlingMaster Pandas 2 and 3 for Advanced Data HandlingAnd much more.This course includesa comprehensive and easy-to-follow teaching package for Mastering Python and Pandas for Data Handling, which makes anyone able to learn the course contents regardless of beforehand knowledge of programming, tabulation software, or Pythonan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Data Science or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, Classification, Python, Pandas and Data Handling! These are the most important and useful tools for modeling, AI, and forecasting. Data Handling is the process of making data useful and usable for regression, prediction, classification, and data analysis.Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks. Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Data Science Methods and Algorithms Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!Anyone who wants to master Pandas for Data Handling!Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, Python, Pandas, and Data Handling.Course RequirementsThe four ways of counting (+-*/)Some Experience with Data Science, Data Analysis, or Machine LearningEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionProgramming experience is not needed and you will be taught everything you needThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 35+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
Who this course is for
Anyone who wants to learn Advanced Data Science Methods and Algorithms
Anyone who wants to learn Python programming and to reach the intermediate level of Python programming knowledge as required by many Udemy courses!
Anyone who wants to master Pandas for Data Handling!
Anyone who knows Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!
Anyone who wants to study at the University level and want to learn Advanced Data Science, Machine Learning, and Data Handling skills that they will have use for in their entire career!
Homepage:

https://www.udemy.com/course/advanced-data-science-methods-and-algorithms/

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Free Download Udemy - Advanced IELTS Esay Writing Training
Published: 2/2025
Created by: Amardeep Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 22m ) | Size: 1.3 GB

Learn how to write 7 Bands Essays
What you'll learn
How to write opinion essays
How to write discussion essays
How to write cause and effect essays
How to Write advantage and disadvantage essays
Requirements
There are no pre-requisities for this course
Description
Want to achieve a 9-band score in IELTS Writing Task 2?This free course provides a structured, step-by-step approach to mastering high-scoring essay writing.You'll learn how to organize your responses effectively, present well-developed arguments, and write with the clarity and coherence needed for top marks. Our lessons are designed around official IELTS assessment criteria, ensuring you avoid common pitfalls while refining your writing technique.We simplify the essay-writing process into easy-to-follow steps. You'll gain in-depth insights into planning, structuring ideas, improving vocabulary, enhancing grammar, and more. By applying these proven strategies, you'll be able to craft well-structured essays that showcase logical reasoning and precise expression.Designed for both beginners and those looking to boost their previous IELTS writing scores, this course includes real essay samples and practice exercises to track your progress. By the end, you'll confidently tackle any IELTS essay prompt, meeting the expectations of examiners with ease.If you're looking to enhance your essay structure, sharpen your writing style, or gain the confidence to excel, this course is for you. Start your journey toward a 9-band IELTS Writing score today!As of now, only essay writing lectures are there, but in the future, we are planning to include task 1 lectures also.
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Students appearing in IELTS exam
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