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Free Download Fundamentals Of Reinforcement Learning (2024)
Last updated 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.01 GB | Duration: 10h 39m
A systematic tour of foundational RL, from k-armed bandits to planning via Markov Decision Processes and TD learning

What you'll learn
Master core reinforcement learning concepts from k-armed bandits to advanced planning algorithms.
Implement key RL algorithms including Monte Carlo, SARSA, and Q-learning in Python from scratch.
Apply RL techniques to solve classic problems like Frozen Lake, Jack's Car Rental, Blackjack, and Cliff Walking.
Develop a deep understanding of the mathematical foundations underlying modern RL approaches.
Requirements
Students should be comfortable with Python programming, including NumPy and Pandas.
Basic understanding of probability concepts is beneficial (probability distributions, random variables, conditional and joint probabilities)
While familiarity with other machine learning methods is helpful, it's not required. We'll build the necessary reinforcement learning concepts from the ground up.
Section assignments are in pure python (rather than Jupyter Notebooks), and often span edits to multiple modules, so students should be setup with an editor (e.g. VS Code or PyCharm)
Description
Reinforcement learning is one of the most exciting branches of modern artificial intelligence.It came to the public consciousness largely because of a brilliant early breakthrough of DeepMind: in 2016, they utilised reinforcement learning to smash a benchmark thought to be decades away in artificial intelligence - they beat the world's greatest human grandmaster in the Chinese game of Go.This was so exceptional because the game tree for Go is so large - the number of possible moves is 1 with 200 zeros after it (or a "gargoogol"!). Compare this with chess, which has only 10^50 nodes in its tree.Chess was solved in 1997, when IBM's Deep Blue beat the world's best Gary Kasparov. Deep Blue was the ultimate example of the previous generation of AI - Good Old-fashioned AI or "GOFAI". A team of human grandmasters hard-coded opening strategies, piece and board valuations and end-game databases into a powerful computer which then crunched the numbers in a relatively brute-force way.DeepMind's approach was very different. Instead of humans hard-coding heuristics for how to play a good game of Go, they applied reinforcement learning so that their algorithms could - by playing themselves, and winning or losing millions of times - work out good strategies for themselves.The result was a game playing algorithm unbounded by the limitations of human knowledge. Go grandmasters to this day are studying its unique and creative moves in its series against Lee Sedol.Since then, DeepMind have shown how reinforcement learning can be practically applied to real life problems. A reinforcement learning agent controlling the cooling system for a Google data centre found strategies no human control engineer had thought of, such as to exploit winter temperatures to save heater use. Another of their agents applied to an experimental fusion reactor similarly found superhuman strategies for controlling the highly complex plasma in the reactor.So, reinforcement learning promises to help solve some of the grand problems of science and engineering, but it has a whole load of more immediately commercial applications too - from the A/B testing of products and website design, to the implementation of recommender systems to learn how to match up a company's customers with its products, to algorithmic trading, where the objective is to buy or sell stocks to maximise a profit.This course will explain the fundamentals of this most exciting branch of AI. You will get to grips with both the theory underpinning the algorithms, and get hands-on practise implementing them yourself in python.By the end of this course, you will have a fundamental grasp these algorithms. We'll focus on "tabular" methods using simple NumPy arrays rather than neural networks, as one often gets the greatest understanding of problems by paring them down to their simplest form and working through each step of an algorithm with pencil and paper.There is ample opportunity for that in this course, and each section is capped with a coding assignment where you will build the algorithms yourselfFrom there, the world is your oyster! Go solve driverless cars, make bajillions in a hedge fund, or save humanity by solving fusion power!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course overview
Section 2: K-armed bandits
Lecture 3 Introduction to k-armed bandits
Lecture 4 Setting the scene
Lecture 5 Initial concepts
Lecture 6 Action value methods // Greedy
Lecture 7 Action value methods // Epsilon-greedy
Lecture 8 Action value methods // Efficient implementation
Lecture 9 Non-stationary bandits
Lecture 10 Optimistic initial values
Lecture 11 Getting started with your first assignement: the 10-armed testbed
Section 3: Markov Decision Processes (MDPs)
Lecture 12 Introduction to MDPs
Lecture 13 From bandits to MDPs // setting the scene
Lecture 14 From bandits to MDPs // Frozen Lake walk-through
Lecture 15 From bandits to MDPs // Real world examples
Lecture 16 Goals, rewards, returns and episodes
Lecture 17 Policies and value functions
Lecture 18 Bellman equations // Expectation equation for v(s)
Lecture 19 Bellman equations // Expectation equation for q(s, a)
Lecture 20 Bellman equations // Optimality equations
Lecture 21 Walk-through // Bellman expectation equation
Lecture 22 Walk-through // Bellman optimality equation
Lecture 23 Walk-through // Matrix inversion
Lecture 24 MDP section summary
Section 4: Dynamic Programming (DP)
Lecture 25 Introduction to Dynamic Programming
Lecture 26 Policy evaluation // introduction
Lecture 27 Policy evaluation // walk-through
Lecture 28 Policy improvement // introduction and proof
Lecture 29 Policy improvement // walk-through
Lecture 30 Policy iteration
Lecture 31 Value iteration // introduction
Lecture 32 Value iteration // walkthrough
Section 5: Monte Carlo methods
Lecture 33 Introduction to Monte Carlo methods
Lecture 34 Setting the scene
Lecture 35 Monte Carlo example // area of a pentagram
Lecture 36 Prediction
Lecture 37 Control - exploring starts
Lecture 38 Control - on-policy
Lecture 39 Control - off-policy // new concepts
Lecture 40 Control - off-policy // implementation
Lecture 41 Environment introduction // Blackjack
Section 6: Temporal Difference (TD) methods
Lecture 42 Introduction to TD methods
Lecture 43 Setting the scene
Lecture 44 Sarsa
Lecture 45 Q-learning
Lecture 46 Expected sarsa
Section 7: Planning methods
Lecture 47 Introduction to planning methods
Lecture 48 Filling the unforgiving minute
Lecture 49 Dyna-Q // introduction
Lecture 50 Dyna-Q // walk-through
Lecture 51 Planning with non-stationary environments: Dyna-Q+
Section 8: Congratulations and feedback
Lecture 52 Congratulations!
This course is ideal for AI enthusiasts, computer science students, and software engineers keen to dive into reinforcement learning. Perfect for those with some programming experience who want to understand and implement cutting-edge AI algorithms from the ground up.
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Homepage

https://www.udemy.com/course/fundamentals-of-reinforcement-learning/

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Free Download Fundamentals Of Streamline Model For Waterflooding
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.46 GB | Duration: 8h 1m
A practical guide to Streamline Modelling Using Python

What you'll learn
Will learn how to visualize movement of injected water in a plane Reservoir
Using a python program learn to predict waterflood performance
Will get a tool to understand the waterflood being monitored
Learn how to use a python program to assess the use of polymer-flooding for Enhanced oil Recovery in a moderately heavy oil reservoir
Requirements
Fundamental knowledge of Reseroir Engineering and familiarity with python programing
Description
This course is about how to use python to model Waterflooding. Waterflooding is the most popular secondary recovery technique widely practiced throughout E&P industry. However, there are no simple tools to model waterflood to answer some of the basic questions like when to expect breakthrough of water, how the flood front looks like, are there any opportunities to improve ongoing waterflood and how heterogeneities impact waterflood performance.Although Commercial Numerical Simulation approaches are available, they require specialised training which is time consuming. With the popularity of python, it is possible to understand the intricacies of a waterflood process in a more transparent manner.The course is meant for Reservoir Engineers, Geoscientists working in Sub Surface team and all those concerned with reservoir management of waterflood processes in an oil field. Working knowledge of python/running python programs in a GoogleColab environment is assumed.The participants will get an in-depth view of how injected water moves from water injection wells to oil production wells. They will explore the python programs to study various kinds of sensitivities of waterflood performance to placement of injectors and producers and how the heterogeneities in permeability and effective thickness will impact waterflood performance. It will also provide an insight in on how the convective and diffusive displacement takes place along streamlines.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Section-wise details
Section 2: Linear Displacement Models
Lecture 3 Linear Displacement Processes
Lecture 4 Leaky Piston Displacement
Lecture 5 Python programs for linear leaky piston displacement processes
Section 3: 2D Streamtube models for homogeneous reservoirs using Method Of Images
Lecture 6 Basic Principles Of Streamtube Models
Lecture 7 Applications of Steady State Line Source Solution using Excel & VB
Lecture 8 Basic Principles Of Streamline Modelling using Method Of Images
Lecture 9 The streamline & Flood Front Plot Part-I
Lecture 10 The Streamline and Flood Front Plot part II (Complete Model)
Lecture 11 Applications Of Trace7f
Section 4: Streamline Modelling Using A Finite Difference Approach
Lecture 12 Streamline Modelling using A Finite Difference Approach
Lecture 13 2D Streamline model using Finite Difference technique using new20b.ipynb
Lecture 14 Plotting Flood Front & Pattern Flood Performance
Lecture 15 Waterflood Surveillance Using Streamline Model
Section 5: Saturation Modelling Along A Streamline
Lecture 16 Saturation Modelling along a single streamline
Lecture 17 Saturation Modelling in 2D using impe3.ipynb
Section 6: Streamline Model For Polymer Flooding
Lecture 18 Polymer Flooding Model :1d using poly1d.ipynb
Lecture 19 A 2D Polymer flood Streamtube Model
Reservoir and Petroleum Engineers, Subsurface Geoscientists involved in oil field Reservoir Management and Graduate Postgraduate and Doctoral Students involved in Subsurface Activities of Waterflooding and Chemical Flooding in Oil Fields ,
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Homepage

https://www.udemy.com/course/fundamentals-of-streamline-model-for-waterflooding/

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Free Download Fundamentals of Building Office Add-ins with Office JavaScript APIs
Duration: 2h 37m | Video: .MP4, 1280x720 15fps | Audio: AAC, 48 kHz, 2ch | Size: 267 MB
Genre: eLearning | Language: English
Microsoft Office is a powerful productivity suite that provides users with very capable, yet generic tools. With the Office JS API, you can build Office Add-ins that automate and integrate Office with your applications.
Microsoft Office is a powerful productivity suite that provides users with very capable yet generic tools. Sometimes you need a little more structure and integration, and with the Office JS API, you can build Office Add-ins that automate and integrate Office with your applications. This course, Fundamentals of Building Office Add-ins with Office JavaScript APIs, will cover the fundamentals of the Office JavaScript API. First, it will introduce you to the different types of Add-ins, and show you how to get your development environment started. Next, you will learn how to build a simple PowerPoint task pane add-in. Finally, you will learn about communicating with external resources such as Trello, and about publishing the Add-in to the Microsoft Office Store. By the end of this course, you'll be ready to continue your learning for specific office applications like Excel and Word.

Homepage

https://www.pluralsight.com/courses/build-office-addins-js-api

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Free Download Fundamentals of Database Engineering
Last updated 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 27h 59m | Size: 17.7 GB
Learn ACID, Indexing, Partitioning, Sharding, Concurrency control, Replication, DB Engines, Best Practices and More!

What you'll learn
Learn and understand ACID Properties
Database Indexing
Database Partitioning
Database Replication
Database Sharding
Database Cursors
Concurrency Control (Optimistic, Pessimistic)
B-Trees in Production Database Systems
Database System Designs
Difference between Database Management System, Database Engine and Embedded database
Database Engines such as MyISAM, InnoDB, RocksDB, LevelDB and More
Benefits of Using one database engine over the other
Switching Database Engines with MySQL
Database Security
Homomorphic Encryption
Requirements
Have worked with databases before but wish to get deeper understanding
Basic SQL knowledge
Description
Database Engineering is a very interesting sector in software engineering. If you are interested in learning about database engineering you have come to the right place. I have curated this course carefully to discuss the Fundamental concepts of database engineering.This course will not teach you SQL or programming languages, however, it will teach you skillsets and patterns that you can apply in database engineering. A few of the things that you will learn are Indexing, Partitioning, Sharding, Replication, b-trees in-depth indexing, Concurrency control, database engines and security, and much more. I believe that learning the fundamentals of database engineering will equip you with the necessary means to tackle difficult and challenging problems yourself. I always compare engineering to math, you never memorize specific formulas and equations, you know the basic proves and derive and solve any equation one throws at you. Database engineering is similar, you can't possibly say MongoDB is better than MySQL or Postgres is better than Oracle. Instead, you learn your use case and by understanding how each database platform does its own trade-offs you will be able to make optimal decisions. One other thing you will learn in this course is the lowest database interface that talks to the OS which is the database engine. Database engines or storage engines or sometimes even called embedded databases is a software library that a database management software uses to store data on disk and do CRUD (create update delete) Embedded means move everything in one software no network client-server. In this video course, I want to go through the few popular database engines, explain the differences between them, and finally, I want to spin up a database and change its engine and show the different features of each engine. Enjoy the course.
Who this course is for
Software Engineers and Database Engineers
Homepage

https://www.udemy.com/course/database-engines-crash-course/

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Free Download Fundamentals of English Grammar
Published 10/2024
Created by Asandhi Jala Seneviratne
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 33m ) | Size: 2.85 GB

Grade One upwards
What you'll learn
Alphabet is the key foundation of English Grammar. Learn the English alphabet and start learning english grammar from the initial stage.
Learn Singular, Plural, Nouns, Verbs, witing sentences using "am" , "is" "are" and this, these, that, those
Write present tense sentences, definite article and indefinite article and exercises.
How to use Prepositions in a sentence, negative form sentences and plural nouns. Each lesson carries examples with work sheets
Requirements
Students in Grade one
Students who successfully completed grade 1
Description
Elevate your English language skills with this in-depth exploration of grammar fundamentals. Discover the artistry of language as you delve into the intricate nuances of parts of speech, sentence structure, and punctuation. Through engaging exercises and real-world examples, you'll acquire a refined understanding of grammar, empowering you to express yourself with elegance and sophistication. Join us on this captivating journey to unlock the beauty and power of the English language.English grammar is a complex system of rules that govern how words are combined to form meaningful sentences. It encompasses a wide range of topics, from the basic building blocks of language to more intricate aspects of sentence structure and usage.1. Parts of Speech ;Nouns: Words that refer to people, places, things, or animals2. Verbs: Words that express actions, states, or occurrences.3. Prepositions: Words that show relationships between nouns or pronouns and other words.4. Present tense: Actions happening now or habitual actions5. Countable and uncountable nouns: Nouns that can be counted and those that cannot6. Singular and plural forms: The forms of nouns that indicate one or more7. Preposition usage: How prepositions are used to show relationships8. Alphabet matching exercises using pictures and letters
Who this course is for
For teachers who can use this study package to guide the required children
For parents who can guide their children with this study package
For tutors
Homepage

https://www.udemy.com/course/fundamentals-of-english-grammar-l/

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Free Download Fundamentals of Software Architecture - A Developer's Guide
Published 10/2024
Created by ibercode training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 22m ) | Size: 874 MB

Learn software architecture principles, patterns, and practices to transition from developer to architect.
What you'll learn
Learn how to transition from a developer to a software architect, mastering the key skills and responsibilities of the architect role.
Understand various software architectural patterns and when to use them, including monolithic, microservices, event-driven, and serverless architectures.
Discover how to align technical decisions with business goals, ensuring that software architectures support both scalability and maintainability.
Apply architecture principles to real-world scenarios, covering data flow, communication styles, and integration of software components into complete systems.
Requirements
Willingness to dive deep into software architecture concepts and patterns.
Experience in software development and designing systems.
Understanding of coding practices and system design principles.
Description
"Fundamentals of Software Architecture - A Developer's Guide" is designed for experienced software developers who are eager to transition into the role of a software architect. This course will provide you with the in-depth knowledge and practical skills needed to understand, design, and implement modern software architecture.We will start by exploring the key differences between a developer and an architect, focusing on the mindset shift required to think at a system-wide level. You'll learn about various architectural styles, including monolithic, layered, microservices, event-driven, and serverless architectures. We'll cover the trade-offs involved in selecting the right pattern, helping you make informed decisions that best suit your system's needs.In addition, you will dive into core architecture principles such as component decomposition, communication styles (synchronous vs. asynchronous), data models, and database strategies. We'll also explore how a software architect balances technical decisions with business goals, ensuring scalability, flexibility, and maintainability across the system.The course concludes with a hands-on real-world project, giving you the opportunity to see how architecture principles are applied in practice. You'll bridge the gap between theory and application, learning how to define software components, structure communication, and design a complete architecture from the ground up.By the end of the course, you'll have gained the skills and confidence to take on the challenges of modern software architecture and become a trusted leader in your organization.
Who this course is for
Software developers aiming to transition into a software architect role.
Developers seeking to enhance their knowledge of software architecture patterns.
Engineers looking to align technical decisions with business goals and scalability needs.
Professionals ready to apply architectural principles to real-world software systems.
Homepage

https://www.udemy.com/course/fundamentals-of-software-architecture-a-developers-guide/

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Free Download Fundamentals of UiPath Orchestrator
Published 10/2024
Created by Mukesh Kala
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 45m ) | Size: 1.51 GB

Master UiPath Orchestrator for Seamless RPA Management
What you'll learn
Understand the user interface, menus, and navigation options of UiPath Orchestrator.
Gain knowledge on how to create, edit, and manage robots and environments in UiPath Orchestrator.
Learn how to schedule, monitor, and run automation processes using UiPath Orchestrator.
Discover how to create, manage, and utilize assets and queues in UiPath Orchestrator for efficient automation.
Get insights into configuring Nudgets and their management in UiPath Orchestrator.
Obtain skills to manage access for users and robots. Generate reports and leverage analytics features.
Requirements
Basics of UiPath Studio
Description
UiPath Orchestrator Fundamentals is a comprehensive course designed to help you understand the fundamentals of UiPath Orchestrator, a centralized automation management tool. This course is ideal for beginners or individuals who want to gain a solid foundation in orchestrating and managing their robotic process automation (RPA) initiatives.Starting with an introduction to UiPath Orchestrator, you will learn how this powerful platform facilitates the management and monitoring of your robot workforce. You will explore user roles and permissions, creating and managing robots, and configuring robot environments. In this course, you will delve into the process of deploying automation packages and acquiring licenses to maximize the efficiency of your RPA projects.You will learn how to schedule and manage jobs, ensuring your robots execute tasks optimally. Additionally, you will gain an understanding of the logging capabilities of Orchestrator, allowing you to track and analyze the performance of your robots. You will also discover how to handle exceptions and troubleshoot any potential issues that may arise during the automation process.By the end of this course, you will have a solid grasp of UiPath Orchestrator and be able to confidently leverage its features to orchestrate and manage your RPA projects. Whether you are an RPA developer, project manager, or business analyst, this course will equip you with the essential knowledge to efficiently manage your automation initiatives.
Who this course is for
Beginners in RPA UiPath
Homepage

https://www.udemy.com/course/fundamentals-of-uipath-orchestrator/

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Free Download Game Development Bootcamp 3D Games With Unity
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.45 GB | Duration: 4h 42m
Master Creating 2D and 3D Games with Unity from Scratch

What you'll learn
Set up Unity projects with proper folder structure and asset management.
Navigate Unity's windows, asset store, and package manager effectively.
Create player controller scripts to handle player movement and animations.
Implement rigidbody-based movement and jumping mechanics.
Requirements
A computer capable of running Unity.
Description
This course offers a complete introduction to Unity game development, guiding you through building both 2D and 3D games from scratch. You'll start by setting up Unity with the proper folder structure and asset management techniques. We'll explore Unity's windows, asset store, and package manager to help you access essential tools and assets quickly.Through practical exercises, you'll learn how to create player controllers, implement rigidbody-based movement, and add animations. You'll also use prefabs to streamline your game elements and build a camera-follow script to enhance gameplay. In addition, we'll dive into tilemaps for level creation and fix collider issues, ensuring smooth player interactions.The course also covers creating start menus, pause menus, and game-over UIs to give your game a professional touch. Finally, you'll explore 3D mechanics by designing player controllers for 3D space, rotating players, and creating Game and Player Manager scripts. You'll also add weapons for interactive gameplay elements.By the end of the course, you'll have the skills and confidence to create, build, and deploy your own Unity projects across platforms. Start your game development journey today, unlock the potential to create engaging games, and turn your ideas into reality! Go from a beginner to developer today.
Overview
Section 1: Introduction
Lecture 1 Setup
Lecture 2 Folder Structure
Lecture 3 Unity Main Windows
Lecture 4 Unity Asset Store and Package Manager
Section 2: Module 1
Lecture 5 Overview of game elements
Lecture 6 Create a Player controller script
Lecture 7 Move Player Using (Rigidbody)
Lecture 8 Player Jumping
Lecture 9 Creating animations
Lecture 10 Add Animations to player
Lecture 11 Introduction about Prefabs
Lecture 12 Camera Follow script
Lecture 13 Token prefab creation
Lecture 14 Tilemaps in unity
Lecture 15 Create a level
Lecture 16 Tilemap collider Fix
Lecture 17 Create Dead Zones
Lecture 18 Create Level Complete Zone
Lecture 19 Create start menu
Lecture 20 Create in- game menu
Lecture 21 Create Pause, Game Over UI
Lecture 22 Learn to create build
Section 3: Module 2
Lecture 23 Intro to 3D
Lecture 24 Create Player for 3d space & Player controller
Lecture 25 Player Rotate
Lecture 26 Create Player Manager script
Lecture 27 Create Game Manager
Lecture 28 Create Weapons
Lecture 29 Create LMG and Weapon switching
Beginners interested in game development using Unity.,Indie developers looking to build both 2D and 3D games.
Screenshot
Homepage

https://www.udemy.com/course/game-development-bootcamp-3d-games-with-unity/

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Free Download Gamifying Training to Improve Learning Outcomes
Released 10/2024
With Molly Kilfoyle, Madecraft
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 37m 43s | Size: 96 MB

Transform training into engaging experiences with gamification techniques.
Course details
Discover how to leverage gamification to transform your trainings into fun and impactful learning experiences. In this course, instructional designer and corporate trainer Molly Kilfoyle outlines four steps you can take to make training fun with gamification: build your understanding of gamification benefits and applications, integrate important game elements into your trainings, personalize the learning experience, and evaluate and optimize your trainings.
Homepage

https://www.linkedin.com/learning/gamifying-training-to-improve-learning-outcomes

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Free Download Gdpr Uk Data Protection Regulation, Compliance And Training
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 428.32 MB | Duration: 1h 7m
General Data Protection Regulation (GDPR) | Data Protection Compliance | UK Data Protection Law

What you'll learn
Understand the key principles of GDPR and DPA.
Learn the legal foundation for processing personal data.
Identify essential compliance measures for schools.
Gain insights into practical accountability and governance.
Mitigate challenges related to data protection in education.
Explore health and safety considerations linked to data privacy.
Requirements
This UK Data Protection education course doesn't require prior experience and is suitable for diverse learners. To study the course, all you need is a passion for learning and a good understanding of English, numeracy, and IT skills.
Description
Protect your school's data with confidence through A Guide to UK Data Protection: Education. Learn the essentials of GDPR and the Data Protection Act to ensure compliance and safeguard sensitive information. Stay ahead of legal challenges and create a secure educational environment.Data protection is critical for schools today, and the A Guide to UK Data Protection: Education course provides the essential knowledge needed to navigate the complex regulations of the Data Protection Act (DPA) and General Data Protection Regulation (GDPR). Through this course, you will gain a deep understanding of key legal requirements and principles that must be upheld in the education sector. You'll be equipped to address potential challenges in safeguarding personal data, ensuring that your institution meets the necessary compliance standards.The course delves into the legal foundation for processing personal data, giving you the confidence to handle sensitive information correctly. Practical accountability and governance are thoroughly covered, enabling you to create a culture of responsibility within your institution. By the end of the course, you will also be prepared to mitigate any risks associated with data breaches, ensuring the safety and privacy of students and staff alike.Protect your school, comply with UK data protection laws, and secure personal information with confidence. Enroll in A Guide to UK Data Protection: Education today and ensure you meet the highest standards of compliance.
Overview
Section 1: Introduction
Lecture 1 Basics of GDPR
Lecture 2 Key Principles of DPA- Part One
Lecture 3 Key Principles of DPA- Part Two
Lecture 4 Legal Foundation for Processing
Lecture 5 Ensuring Compliance with DPA for School
Lecture 6 Practical Accountability and Governance
Lecture 7 Potential Challenges and Mitigation
Lecture 8 Health and Safety Considerations
School administrators managing data.,Educational professionals handling student information.,Compliance officers in the education sector.,Legal teams supporting schools and educational institutions.,Individuals looking for a related career.,Professionals seeking to enhance skills at this field.
Screenshot
Homepage

https://www.udemy.com/course/gdpr-uk-data-protection-regulation-compliance-and-training/

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Free Download Gen AI - LLM RAG Two in One - LangChain + LlamaIndex
Published 10/2024
Created by Manas Dasgupta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 27 Lectures ( 9h 13m ) | Size: 4.44 GB

Gen AI - Learn to develop RAG Applications using LangChain an LlamaIndex Frameworks using LLMs and Vector Databases
What you'll learn
Be able to develop your own RAG Applications using either LangChain or LlamaIndex
Be able to use Vector Databases effectively within your RAG Applications
Craft Effective Prompts for your RAG Application
Create Agents and Tools as parts of your RAG Applications
Create RAG Conversational Bots
Perform Tracing for your RAG Applications using LangGraph
Requirements
Python Programming Knowledge
Description
This course leverages the power of both LangChain and LlamaIndex frameworks, along with OpenAI GPT and Google Gemini APIs, and Vector Databases like ChromaDB and Pinecone. It is designed to provide you with a comprehensive understanding of building advanced LLM RAG applications through in-depth conceptual learning and hands-on sessions. The course covers essential aspects of LLM RAG apps, exploring components from both frameworks such as Agents, Tools, Chains, Memory, QueryPipelines, Retrievers, and Query Engines in a clear and concise manner. You'll also delve into Language Embeddings and Vector Databases, enabling you to develop efficient semantic search and similarity-based RAG applications. Additionally, the course covers various Prompt Engineering techniques to enhance the efficiency of your RAG applications.List of Projects/Hands-on included: Develop a Conversational Memory Chatbot using downloaded web data and Vector DBCreate a CV Upload and Semantic CV Search App Invoice Extraction RAG AppCreate a Structured Data Analytics App that uses Natural Language Queries ReAct Agent: Create a Calculator App using a ReAct Agent and ToolsDocument Agent with Dynamic Tools: Create multiple QueryEngineTools dynamically and orchestrate queries through AgentsSequential Query Pipeline: Create Simple Sequential Query PipelinesDAG Pipeline: Develop complex DAG PipelinesDataframe Pipeline: Develop complex Dataframe Analysis Pipelines with Pandas Output Parser and Response SynthesizerWorking with SQL Databases: Develop SQL Database ingestion BotThis twin-framework approach will provide you with a broader perspective on RAG development, allowing you to leverage the strengths of both LangChain and LlamaIndex in your projects.
Who this course is for
Software Developers, Data Scientists, ML Engineers, DevOps Engineers, Support Engineers, Test / QA Engineers
Homepage

https://www.udemy.com/course/llm-rag-langchain-llamaindex/

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Free Download GenAI - Langchain for javascript developers
Published 10/2024
Created by Amit Gupta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 13m ) | Size: 1.62 GB

Learn Generative AI and Langchain by building real life use cases in javascript/typescript
What you'll learn
Generative AI technology and building LLM powered applications
Langchain with Javascript/Typescript using latest Langchain version
Build RAG application using private data
Build chatbot application using LLMs
Working with different LLMs and LLM providers
Langchain: LCEL, chains, retrievers, splitters, output parsers, chat memory, langsmith
Solid understand of concepts: embeddings, vector databases, LLM parameters
Requirements
Basic JavaScript/Typescript knowledge, experience with Nodejs
Basic software engineering concepts
No machine learning experience is needed
Description
Welcome to the Generative AI Course for JavaScript Developers! This course is tailored specifically for JavaScript professionals ready to advance their careers in the rapidly growing field of generative AI. While AI and machine learning have traditionally been dominated by Python, generative AI has opened up new possibilities, allowing JavaScript developers to build high-quality, LLM powered applications.Who Should Take This Course? This course is designed for developers and architects with JavaScript and Node.js experience who are eager to build applications powered by large language models (LLMs). You'll learn how to use JavaScript with LangChain to create generative AI applications, mastering core concepts like RAG (retrieval-augmented generation), embeddings, vector databases, and more. By the end, you'll be equipped to develop robust generative AI applications.Course Journey: We start with setting up the development environment, creating basic applications to explore key frameworks. Then, we'll dive into advanced topics, building real-world applications with features like retrievable augmented generation and adding conversational layers with chat history.Key Topics Covered:LangChain with JavaScript/TypeScriptLLMs: Working with top providers like AWS Bedrock, OpenAI, and AnthropicPrompts & PromptTemplatesOutput ParsersChains: Including legacy chains and LCELLLM Parameters: Temp, Top-p, Top-kLangSmithEmbeddings & VectorStores (e.g., Pinecone)RAG (Retrieval Augmentation Generation)Tools: Web crawlers, document loaders, text splittersMemory & Chat HistoryThroughout the course, you'll engage in hands-on exercises and build real-world projects to reinforce each concept, ensuring a solid foundation in generative AI with JavaScript. By course completion, you'll be proficient in using LangChain to develop versatile, high-performance LLM applications.What's Included? This course is also a community experience. With lifetime access, you'll receive:GitHub repositories with complete course codeAccess to an exclusive Discord community for support and discussion on GenAI topicsFree updates and continuous improvements at no extra costDisclaimers:This is not a beginner course; software engineering experience and proficiency in JavaScript are assumed.We will be using the VSCode IDE (though any editor is welcome).Some LLM services may require payment, but we'll utilize free options whenever possible.
Who this course is for
Javascript developers and architects looking to advance their career with Generative AI technology
Engineers that want to learn how to build Generative AI based applications with LangChain
Homepage

https://www.udemy.com/course/genai-langchain-for-javascript-developers/

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Free Download GenAI Fundamentals for UX Designers + Researchers
Published 10/2024
Created by Joe Natoli
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 47m ) | Size: 3.12 GB

Learn the key concepts and components to harness GenAI for UX design - and lead AI product innovation efforts.
What you'll learn
Learn core principles of responsible GenAI design that ensure our products serve all users equally + equitably.
Success factors unique to Machine Learning (ML) products that UX + Product Designers and their teams should adopt
Guidance on research to determine what kinds of problems are best solved by AI, and where human control should remain central.
Determining when AI features are appropriate for users - and when they aren't
Identifying when Automation (AI does the task for users) or Augmentation (help them do it better) is more appropriate.
Designing the reward function and appropriately considering the balance between false positives and false negatives.
Essential factors to consider when evaluating the reward function.
How to weigh necessary, unavoidable tradeoffs between precision and recall, which is key to shaping an AI user experience.
Designing for fairness and inclusion, from objectives to datasets to guidance on bias testing.
Designing for generative variability: how do we present multiple, varied outputs to users - and how do we guide them in selecting the best one?
Designing for multiple outputs: how do we help users filter and highlight differences between outputs?
Designing for imperfections: how do we empower users to manage + mitigate imperfections and designing with contextual sensitivity?
Designing for confidence: how do we design confidence scoring to properly evaluate output quality and increase user trust?
Rules and examples for applying confidence scores.
Designing for co-creation: how to we design co-creation processes where both the user and the AI can make adjustments?
Designing for generic controls: using "temperature" to control the number of outputs and the degree of variability in those outputs.
Designing for domain-specific controls, such as encoder-decoder models, semantic sliders and prompt engineering.
Designing for prompt engineering: enabling and guiding users to effectively use multiple types of conversational prompts.
Designing for exploration: incorporating flexibility, feedback, transparency and error handling/expectation management.
Designing for choice, feedback, transparency + safety: centering users as active, empowered participants in the creation process.
Designing for mental models: orienting users to generative variability, teaching effective use and teaching the AI about the user.
Designing for explanation, understanding + trust: providing clear rationales for outputs, using friction to curb over-reliance and showing imperfections.
Designing against harm: understanding the critical ways irresponsible AI design can harm people.
Designing against hazardous outputs: discrimination, exclusion, toxicity, misinformation, deep fakes, IP theft and more.
Mitigating harm with a Value-Sensitive Design (VSD) process, integrated with an Agile or Lean development process.
Requirements
None. GenAI is stil extremely new to the world of UX, so this fundamentals course is meant to get you on solid ground fast, no matter your experience.
Description
Protect and grow your career: Learn to design GenAI-enabled productsThe UX and Product design landscape is evolving-and AI is leading the charge. If you're a designer, UXer, or product developer, you can't afford to be left behind. Generative AI is not just a buzzword; it's becoming the backbone of the next generation of user experiences. And without a deep understanding of how to design AI-powered products, your skill set risks becoming obsolete.This course is for you if you want to:Stay relevant in an industry that's rapidly integrating AI into every aspect of product development and feature sets.Be the asset your employer relies on-not the UXer or designer left off key projects because you lack the necessary skills.Lead the future of UX and design rather than have it dictated to you by engineers and product managers.Why you must start learning the fundamentals of GenAI product design nowAI isn't just an optional add-on anymore. It's the next fundamental shift in product design-just like when UX and UI became indispensable. Here's the reality:Employers want designers who understand how to design user-centered GenAI experiences that are useful, usable, valuable, and trustworthy. Without this skill, your job security and opportunities will shrink.Product improvement initiatives and AI integration projects are happening in every major company, from simple voice and chatbot interfaces to workflow-based conversational experiences. The people who know how to design these experiences are the ones who will be chosen for leadership roles.AI is the new frontier in UX and product design. Just as front-end coding knowledge became essential for UXers, understanding emerging design trends for GenAI - and how to design and evaluate AI-enabled products - is the next career progression.If you don't understand AI-enabled design, you won't be part of these key projects. Your value will diminish-both to your current employer and in the eyes of potential future employers.What you'll learn in this courseMaster the fundamentals of designing AI-powered productsLearn the principles that guide effective, responsible design for AI. I'll teach you the fundamental principles and approaches behind experiences that blend the power of AI with intuitive, human-centered design. From initial investigation and research to designing features, functionality and evaluation metrics to gauge usability and measure trust, I'll tackle all the core areas you need to know about.Why it matters: AI is about more than automation. It's about delivering useful and valuable user experiences that meet both user needs and business goals.Create ethical, trustworthy AI-driven productsI'll show you how to build AI products that users trust-and that won't perpetuate bias or misinformation. You'll learn the ethical considerations you need to think through and how to design with fairness and transparency in mind.Why it matters: Building trust is crucial in AI. Companies are investing in AI solutions that don't just work but are ethical and inclusive. Your ability to design these systems will set you apart.Understand the basics of designing for key GenAI attributes like generative variability and tradeoffs between precision and recall. Generative variability is the heart of GenAI. I'll walk you through two critical questions we, as UXers and designers, have to answer: (1) how do we present multiple, varied outputs to users and (2) how do we guide them in selecting the best one?As a UX or product designer, one of the key decisions you'll face when working with AI systems is how to balance precision and recall. I'll dig intot both concepts and walk you through how to design that balance appropriately.Why it matters: Generative variability is the heart of GenAI, and designing for it requires an approach that's very different from the products we typically tackle. In particular, precision and recall define how accurate and thorough your AI's results will be - and getting the balance right directly impacts UX and user trust.Turn AI into a business asset for your clients or employers Design AI systems that do more than just function-they deliver real business value. I'll teach you how to align AI-driven products with business objectives, ensuring that the user experience drives results.Why it matters: Your ability to create AI-enabled products that solve real business challenges will make you a valuable asset to your employer.Be a leader in AI-enabled UX and product designAs AI continues to reshape the design industry, you'll be equipped to lead AI-focused design projects, taking your career to the next level. No more waiting on engineers to explain AI to you. You'll be the one leading the collaborative charge to determine how AI best fits into product design.Why it matters: Leaders in this field don't wait for opportunities-they create them. Position yourself as a forward-thinking designer who is driving AI adoption and innovation.Who this course is for:New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one.Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects.I've included a massive GenAI UX workbook you can use on real-world projects.You can download and use this 164-page companion workbook to use both as practice and to help you through the process of designing for GenAI in your daily work as well. Use the guidance and 89 exercises across 22 mission-critical topics in GenAI design for any real-world GenAI projects that come your way - the exercises here are designed to help you through the process, from concept to execution.
Who this course is for
New UX and Product Designers: If you're starting out and want to make your career trajectory more stable and secure, this course will give you the foundation to be an asset to your employer from day one.
Experienced UXers, Product Designers and Product Developers: If you're already working in the industry and want to stay competitive and lead the next wave of innovation, this course will teach you how to begin integrating AI product design into your current design skill set - and to have informed, productive conversations with software engineers and data scientists on GenAI projects.
UX Researchers, UX Writers, Product Managers and anyone wondering what they need to know in order to play a role in designing GenAI-driven products.
Homepage

https://www.udemy.com/course/genai-fundamentals-for-ux-designers-researchers/

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Free Download General Immigration Training Course Access Packet
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 22.31 GB | Duration: 15h 33m
General Immigtaion

What you'll learn
Provides a thorough foundation in U.S. immigration laws, regulations, and policies.
Understanding the intricacies of visas, green cards, citizenship processes, and deportation laws can help you effectively navigate the immigration system.
For those pursuing careers in law, public administration, or international relations, an immigration course can open up a variety of career paths
With immigration being a central issue in U.S. politics, understanding the historical and current policies can position you as a more effective advocate.
Understanding of immigration processes enhances your professional skillset, making you more versatile in working with diverse populations and in global business
Provides knowledge in various professional settings while contributing to your broader understanding of one of the most complex and important issues in the U.S.
Requirements
You will learn everything you need to know
Description
The United States has a long history of immigration, shaping its cultural, economic, and demographic landscape. Immigration to the U.S. has occurred in various waves, driven by diverse factors including political unrest, economic opportunities, and social conditions in different parts of the world. The early phases of U.S. immigration were largely unrestricted, with millions of people arriving from Europe in the 19th and early 20th centuries. This was a time of significant industrial growth, and immigrants provided much of the labor needed to expand the country's infrastructure and economy.However, as immigration increased, so did concerns over its impact on American society. In response, the U.S. began to impose regulations and restrictions. The Immigration Act of 1924 introduced quotas that limited immigration from certain regions, particularly targeting Asian and Southern European countries. These laws reflected broader anxieties about preserving national identity and concerns about labor competition. Over time, these restrictions evolved, and with the passage of the Immigration and Nationality Act of 1965, the U.S. removed quotas based on national origin, opening the doors for immigrants from Asia, Latin America, and Africa.Today, U.S. immigration policies remain a subject of political debate, particularly concerning issues like undocumented immigration, refugee admissions, and border security. The country continues to attract people from around the world, drawn by its promise of economic opportunity, education, and personal freedom. Despite the controversies surrounding immigration, it remains a vital part of the U.S.'s identity and growth, influencing everything from its labor force to its cultural diversity. As the global landscape shifts, U.S. immigration policy continues to adapt, reflecting both domestic needs and international pressures.
Overview
Section 1: About the Law Offices of Brian D. Lerner, APC
Lecture 1 Attorney Brian D Lerner: An Introduction to my Immigration Law Firm
Lecture 2 An Intro to the Law Offices of Brian D. Lerner
Lecture 3 Certified Specialist in Immigration and Nationality Law
Lecture 4 Attorney Consultation Process
Lecture 5 Q&A with an Immigration Lawyer
Lecture 6 How to get a quote in opening a case?
Lecture 7 Certified Specialist in Immigration and Nationality Law
Lecture 8 How to Run a Law Firm with Covid 19 Scare in U.S.
Lecture 9 Ethnic Harmony, Racism and What it all means. Dealing with Ethnic Strife and Big
Lecture 10 An Expert Immigration Lawyer can Practice Anywhere in the US.
Lecture 11 Immigration Law Firm Opens It's 5000th Case
Lecture 12 You should hire an Immigration Attorney to Help!
Lecture 13 5 Million Immigration Video Views and Counting
Lecture 14 Immigration Attorney / Certified Specialist
Lecture 15 100,000 Facebook Likes for helping people with Immigration
Lecture 16 Why hire an expert Immigration Attorney, not just a Local Immigration Lawyer?
Lecture 17 Why should you hire an immigration attorney or deportation lawyer?
Lecture 18 500 Immigration Videos and Counting
Lecture 19 Los Angeles Immigration Attorney
Lecture 20 New Immigration Law
Lecture 21 WOW! Now here is the best Immigration Attorney!
Lecture 22 Getting an American Immigration Attorney
Lecture 23 How to Find US Immigration Attorney
Lecture 24 Immigration Courses taught by an Immigration Attorney
Lecture 25 Immigration Law is Federal Law
Lecture 26 Immigration Attorney: How to find a good one.
Lecture 27 Immigration Attorney and Deportation Lawyer and Business Visa Specialist
Lecture 28 Immigration Consultation
Lecture 29 Fighting the good case
Lecture 30 Immigration Lawyer just passed 15000 followers on TikTok and 11000 on YouTube
Lecture 31 100,000 Likes!
Lecture 32 Getting a qualified Immigration Lawyer
Lecture 33 Getting A Consultation from an Immigration Lawyer
Section 2: COVID and Immigration Updates
Lecture 34 Covid Restrictions Lifting
Lecture 35 The best way to help Immigrants is to VOTE
Lecture 36 More Visas not Allowed. Trump keeps trying. L-1's and H-1B's and J-1's on list t
Lecture 37 Trump is at it again with his immigrant bashing preventing more visa holders
Lecture 38 Current Update on Immigration Court Cases and Immigration policies
Lecture 39 Trump's 'Proclamation' has more bark than bite. only applies to a small portion
Lecture 40 Suing Immigration to Allow Corona Delays
Lecture 41 Don't Give Up on Immigration Petitions with the Covid 19 Closures.
Lecture 42 Supreme Court Allows Draconian Public Charge Rules
Lecture 43 Keep on Fighting Immigration Policies
Lecture 44 Public Charge Rule AND Border Wall RULED ILLEGAL
Lecture 45 Big Win for Deferred Action!
Lecture 46 The New Public Charge Regs Can Be Fought in Court
Lecture 47 Trumps Claim to Deport Millions is FALSE
Lecture 48 The Wall & Trump's Abuse of Power
Lecture 49 Before: Martin Luther King, Today: The Wall
Lecture 50 Sessions Tries AGAIN to Limit Immigration Court
Lecture 51 Happy New Year and the Fight Goes On!
Lecture 52 2nd Executive Order Halted Nationwide: Why?
Lecture 53 One President cannot Erase Immigration Law
Lecture 54 You can STILL apply for Visas to the U.S.
Lecture 55 The Governor of Texas does Anti-Immigrant Bill
Lecture 56 You Can't be Expeditely Removed if you have been here more than 2 years
Lecture 57 Trump Orders: Guilty until Proven Innocent
Lecture 58 Ninth Circuit rules against Trump
Lecture 59 Freedom of the Press and the First Amendment
Lecture 60 Immigration Judge and Bias with Appeal
Lecture 61 Trump fight Immigration Video
Lecture 62 Trump will likely END Provisional Waivers and DACA
Lecture 63 Supreme Court strikes down most of Arizona's SB 1070
Lecture 64 The Supreme Court will hear arguments on the Arizona Immigration Law
Lecture 65 The Unfair Alabama Immigration Law
Lecture 66 Alabama and the need for Federal Immigration Reform
Lecture 67 Immigration Attorney view on Immigration Reform
Lecture 68 Immigration Reform Update
Section 3: Interviews
Lecture 69 Answer only what is asked of you and nothing more.
Lecture 70 The Consulate Interview: Got a Minute?
Lecture 71 Tattoos at your interview in Ciudad Juarez
Lecture 72 What to do during an Immigration Interview
Lecture 73 How to make a Group Appointment at U.S. Embassy Manila
Lecture 74 What else can possibly go wrong at the Consulate?
Lecture 75 Consulate Processing: Right to an Attorney
Section 4: General Immigration
Lecture 76 What is Immigration?
Lecture 77 My FOIA: Getting a copy of your Immigration Record
Lecture 78 TPS means Temporary and You should Look for other options
Lecture 79 An Immigration Attorney should know Business Visas And Deportation
Lecture 80 Want to get back to U.S. with your Green Card? Worried?
Lecture 81 Committed a Crime? Watch this on Descamps case
Lecture 82 How operation of law works In immigration law
Lecture 83 The fight for Immigration Reform is not Over
Lecture 84 The New Proposed Immigration Reform from Gang of Eight
Lecture 85 Immigration Reform and getting a comprehensive new Immigration Bill
Lecture 86 How to find a good Immigration and Naturalization Attorney to help you
Lecture 87 How to get the Green Card and then become a U.S. Citizen?
Lecture 88 USCIS Manila Types of Petitions that can be filed
Lecture 89 Getting a divorce even if you are from the Philippines
Lecture 90 USCIS Manila Contact Information
Lecture 91 Are you serious? I don't have to wait for a visa?
Lecture 92 Why you should hire a good immigration attorney?
Lecture 93 The Hail Mary of Immigration Law: The Private Bill
Lecture 94 Responding to the dreaded RFE
Lecture 95 I-9 for a Teen
Lecture 96 Expired Passport
Lecture 97 Constitutional Guarantees
Lecture 98 Legal Immigration
Lecture 99 Markings on your Visa
Lecture 100 The CFRs and FAMs
Lecture 101 Immigration Consultation
Lecture 102 Immigration Consultation Process
Lecture 103 Local Police
Lecture 104 Immigration Overview
Lecture 105 FOIA and the agencies to post an FOIA
Lecture 106 Hiring an Immigration Attorney
Lecture 107 US Immigration Attorney
Lecture 108 Passport Control
Lecture 109 Affordable Immigration Help: Start with a Free Consultation
Lecture 110 Debunking Misconceptions About Immigration Law: Comprehensive Services Explained
Lecture 111 How to find a good immigration attorney
Lecture 112 Why the U.S. Desperately Needs Comprehensive Immigration Reform
Lecture 113 Biden's executive order will help many people
Lecture 114 Passport Ink
Lecture 115 Hiring an immigration attorney in the US
Lecture 116 State powers and the federal supremacy clause
Lecture 117 Chevron deference and what striking it down means
Lecture 118 Immigration Video regarding Biden's Executive Orders
Lecture 119 Don't wait. The new Biden executive order.
Lecture 120 Biden Executive Order Update
Lecture 121 Passports and Authenticity
Lecture 122 Your passport and markings on your passport
Section 5: Trump Series
Lecture 123 Trump Executive Order: Checks on Balance of Power
Lecture 124 Trump Executive Order resulting in a Muslim Ban
Lecture 125 Trump Executive Orders: There is no place for Racism in America
Lecture 126 Trump Deportation Series: Petition for Review
Lecture 127 Trump Deportation Series: Appealing to the BIA
Lecture 128 Trump Deportation Series: The Waivers
Lecture 129 Trump Deportation Series: The NTA
Lecture 130 Trump Deportation Series: Petition for Review
Section 6: Diversity Lottery
Lecture 131 The Diversity Lottery Visa is almost here. Do it right!
Lecture 132 What do I do after I win the Diversity Lottery?
Lecture 133 Can my family come with me on the Diversity Lottery?
Lecture 134 How do I apply for the Diversity Lottery?
Lecture 135 What are the requirements for the Diversity Lottery?
Lecture 136 I can get a Visa through a lottery?
Lecture 137 How many people come in on the Diversity Lottery?
US Citizen / Law Student / Immigrant and Non Immigrants
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Free Download Generate Data Insights Using the Analyze Data Feature in Microsoft Excel
Released 10/2024
By Matt Stenzel
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 14m 4s | Size: 42 MB

Are you looking to save time and unlock the power of your data by using familiar data analysis tools? This course will teach you how to use the analyze data feature in Microsoft Excel to gain insights from your data.
Are you looking to save time and unlock the power of your data by using familiar data analysis tools? This course will teach you how to use the analyze data feature in Microsoft Excel to gain insights from your data.
In today's world, there are many amazing tools that can help make you more productive and give you insights over large amounts of data.
In this course, Generate Data Insights Using the Analyze Data Feature in Microsoft Excel, you'll gain knowledge of this tool and experience it firsthand. You will see how you can use natural language and have the tool suggest questions and fields that could be valuable for data analysis.
When you're finished with this course, you'll have a better understanding of the benefits and limitations of the analyze data feature in Microsoft Excel.
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