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In this video on large language models, we’ll take a look at Large Language Models (LLMs) and understand what they are all about. First, we’ll explain what LLMs are and why they’re becoming so important in the world of technology. You’ll learn what these models do and how they’re used in areas like healthcare, finance, and customer service. We’ll also talk about how large language models are trained. These models use huge amounts of data to learn and create human-like text. We’ll break down how they work, from understanding language to predicting what comes next in a sentence.
Lastly, we’ll explore where LLMs are used today, such as in chatbots, content creation, and translations. These models are helping businesses work smarter and faster.

00:00 Introduction to LLMs
02:17 What are large language models?
03:22 How LLMs are trained?
05:05 How LLMsWork?
05:48 Applications Of LLMs

What is a large language model?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.

Is ChatGPT a large language model?
The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) Instruction Fine-Tuning, (3) Reinforcement from Human Feedback (RLHF).

What are LLM examples?
For example, LLMs could be used to create personalized education or healthcare plans, leading to better patient and student outcomes. LLMs can be used to help businesses and governments make better decisions by analyzing large amounts of data and generating insights.

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👉This SQL course video is an SQL tutorial for beginners where you will learn SQL end to end. This SQL tutorial is all you need to get started with this technology.
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📝Following topics are covered in this SQL Tutorial video:
00:00 - SQL full course
01:13 - What is Data?
02:22 - What is Database?
04:15 - Why need a Database?
08:20 - Database Management System(DBMS)
10:19 - Introduction to SQL
11:40 - Relational Databases
14:17 - Sample SQL Query
16:20 - SQL vs NoSQL
18:00 - Applications of SQL
21:00 - Basics of SQL
21:28 - SQL Tables: Fields
21:58 - SQL Tables: Records
23:18 - SQL Tables: Datatypes
25:50 - CRUD Operations
26:42 - What can SQL do?
28:10 - CRUD Operation Demo
38:00 - Installation of SQL Server
45:32 - Data Types in SQL
46:10 - Different Data Types in SQL
51:30 - Create Table Syntax
54:16 - Insert Query Syntax
57:55 - Select Statement Syntax
01:00:53 - Select Distinct Syntax
01:02:20 - Where Clause in SQL
01:05:10 - Operators in SQL
01:17:37 - Functions in SQL
01:26:00 - Order By and Top Clause in SQL
01:29:40 - Group By Clause in SQL
01:33:13 - Having Clause in SQL
01:36:04 - Update Statement in SQL
01:39:24 - Delete Statement in SQL
01:41:18 - Truncate Statement in SQL
01:42:22 - Joins in SQL
02:02:43 - Union Operator in SQL
02:05:27 - Except Operator in SQL
02:07:10 - Intersect Operator
02:09:05 - Views in SQL
02:11:45 - Alter Table in SQL
02:14:32 - Merge Statement in SQL
02:20:10 - User Defined Functions in SQL
02:26:40 - Temporary Table in SQL
02:29:30 - Case Statement in SQL
02:34:23 - IIF Function in SQL
02:38:04 - Stored Procedure in SQL
02:43:16 - Exceptional Handling
02:43:25 - Try/Catch Blocks in SQL
02:47:45 - Transactions in SQL
02:52:38 - Database Administrator
02:52:50 - Roles of Database Administrator
02:54:22 - Types of DBA
02:56:12 - Intro to MS SQL Servers
03:02:24 - SQL Server Sysytem Databases
03:04:08 - Quiz
03:04:40 - Backup & Restore of Database
03:05:18 - Restoring "AdventureWoks" Database through GUI
03:07:25 - Recovery Models
03:18:54 - Quiz
03:19:17 - Dynamic Management Views
03:20:04 - Catagories of DMV's
03:24:30 - Activity Monitor
03:25:00 - Starting Activity Monitor
03:27:25 - System Monitor/Performance Monitor
03:30:20 - Working with SQL Server Profiler
03:32:02 - Quiz
03:32:36 - Data Integrity
03:32:52 - Categories of Data Integrity in SQL
03:33:45 - Index in SQL
03:34:15 - Types of Indexes in SQL
03:37:07 - Fragmentation in SQL
03:39:15 - Rebuilding in SSMS
03:40:43 - Quiz
03:40:56 - SQL Job Trend
03:41:20 - SQL Interview Questions

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Why should you opt for a SQL career?

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------------------------------

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This Artificial Intelligence Course 2024 covers all the important skill sets required to get you an AI Engineer!

In this Artificial Intelligence Course 2024, we will cover Introduction to Artificial Intelligence, Introduction to Keras, TensorFlow, and Data Handling with NumPy. Then we will into Neural Networks, Multi-layered Neural Networks, and Artificial Neural Networks. Later, we will also dive into the Introduction to Deep Learning, Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and GPU in Deep Learning. Then we will conclude this AI Tutorial For Beginners with Artificial Intelligence Interview Questions

This Artificial Intelligence Course suits those who aspire to become AI Engineers

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00:02:50 - What is Artificial Intelligence
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01:09:00 - Introduction to Deep Learning
02:51:03 - Benefits of Using Artificial Neural Network
02:56:17 - Deep Learning Frameworks
03:09:21 - Data Handling with NumPy
03:31:33 - Introduction to TensorFlow
05:42:50 - Understanding Epoch
06:11:05 - Introduction to Keras
07:06:11 - Predefined Neural Network Layers
09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions

✅ How can I learn a full Artificial Intelligence Course?
For artificial intelligence, you should study:
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✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

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In this AWS DevOps training video, you will learn everything about AWS and DevOps from basic to advance level. This video on AWS DevOps Tutorial For Beginners includes an introduction to DevOps, AWS, why DevOps with AWS, AWS codepipeline, hands-on project, and interview preparation. This is a must-watch session for everyone who wishes to learn AWS DevOps and make a career in the cloud domain.

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🔵 The Following are covered in this AWS DevOps video:
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00:04:58 - Introduction to Cloud Computing
00:16:24 - Cloud Computing Models
00:20:10 - Deployment Models
00:34:58 - Cloud Providers
00:41:17 - Introduction to amazon web services
01:04:03 - AWS Demo
01:28:19 - AWS Services - Storage
01:45:56 - AWS Services - Database
02:06:00 - AWS Pricing
02:13:38 - Introduction to DevOps
02:20:00 - What is DevOps?
02:23:35 - DevOps Lifecycle - How DevOps works?
02:36:00 - DevOps Tools
02:42:48 - Introduction to Git
02:44:49 - Common Git Commands
03:40:27 - What is Docker?
03:48:46 - Docker Installation
03:56:04 - Common Docker Operations
04:11:01 - Creating a Docker Hub Account
04:31:48 - Introduction to DockerFile
04:33:59 - Various Commands in DockerFile
04:50:19 - Introduction to Docker Volumes
05:16:10 - AWS CodePipeLine
06:59:03 - Netflix AWS Project
08:21:57 - AWS DevOps Certification
08:41:16 - DevOps Interview Questions

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If you’ve enjoyed this DevOps course video, Like us and Subscribe to our channel for a more similar informative video.
Got any questions about DevOps Tools? Ask in the comment section below.

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Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. We are offering the top DevOps tutorial that can be watched by anybody to learn DevOps. Our DevOps tutorial has been created with extensive inputs from the industry so that you can learn DevOps easily.

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DevOps implementation is going through the roof with most of the largest software organizations around the world invested heavily in its implementation. The core values of DevOps is effectively based on the Agile Manifesto but with one slight change that moves the focus from creating a working software to one that is more interested in the end-to-end software service mechanism and delivery.

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For very long times the development and the operations teams of any software enterprise have stayed at arm’s length. But this organizational cultural shift thanks to DevOps a lot of changes are happening in forward-thinking enterprises. Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. You will grab the best jobs in top MNCs after finishing this Intellipaat DevOps online training. The entire Intellipaat DevOps course is in line with the industry needs. There is a huge demand for DevOps certified professionals. The salaries for DevOps professionals are very good. Hence this Intellipaat DevOps tutorial is your stepping stone to a successful career!

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Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
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A friendly explanation of how computer recognize images, based on Convolutional Neural Networks.
All the math required is knowing how to add and subtract 1's. (Bonus if you know calculus, but not needed.)
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

For a code implementation, check out this repo:
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0:00 Introduction
0:22 Simple World
1:05 Keyboard
1:33 Image recognition software
4:39 Image Recognition Classifier
6:12 Artificial Intelligence
8:47 Gradient Descent
10:26 Slightly More Complex World
11:47 Previous Knowledge
24:27 Convolutional Neural Network
28:27 Advanced World

When Will True AGI Arrive? (Sooner Than You Think)
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Discover the exciting realm of Artificial General Intelligence (AGI) in our latest video, "When Will True AGI Arrive? (Sooner Than You Think)". From the basic concepts of AGI to its transformative potential, we offer a comprehensive view into the future of this groundbreaking technology.

Start your journey with an introduction to AGI. What is AGI? It's a branch of AI that outperforms humans at most economically valuable work, a field currently at the heart of intensive research and development. As we transition from the era of Generative AI to AGI, we'll explore how these advancements could change our world.

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Welcome to AI Uncovered, your ultimate destination for exploring the fascinating world of artificial intelligence! Our channel delves deep into the latest AI trends and technology, providing insights into cutting-edge AI tools, AI news, and breakthroughs in artificial general intelligence (AGI). We simplify complex concepts, making AI explained in a way that is accessible to everyone.

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Welcome to Kali Linux Course 2023! Kali Linux is a specialized Linux distribution designed for ethical hacking, penetration testing, and cybersecurity. It offers a wide range of pre-installed security tools, customization options, and live boot capabilities, making it a go-to choice for professionals in the field. Always remember to use Kali Linux ethically and legally. Kali Linux is the major ask of recruiters in the ethical hacking domain. So, if you are looking learn Kali Linux and get certified in ethical hacking,

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Ethical hacking roadmap 2024
Ethical hacking certification
What is Kali Linux
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Kali linux for ethical hacking
Kali NetHunter
Kali linux Vs Parrot OS
Linux Interview Questions & Answers

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➡️ About Post Graduate Program In Cyber Security
This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

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This Edureka video on "Artificial Intelligence Full Course" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
00:00:00 Introduction
00:01:16 Agenda
00:02:22 What is AI
00:15:38 Examples of AI
00:21:16 Deep learning IS machine learning
00:26:53 AI Explained
00:28:19 AI Vs ML Vs DL
00:29:09 Importance of AI
00:31:23 Types of AI
00:32:53 Applications of AI
00:37:33 Domains of AI
00:40:21 Job Profiles in AI
00:43:54 Object Detection
00:55:28 How to become an AI Engineer
01:07:55 Stages of AI
01:12:54 Domains of AI
01:15:42 AI With Python
01:38:50 Introduction to ML
01:49:42 Types of ML
01:59:13 ML Algorithm
02:14:17 Limitations of ML
02:16:15 Introduction to DL
02:20:09 Use Cases of DL
02:43:05 NLP
02:47:13 What is NLP
02:48:13 Applications of NLP
03:05:56 TensorFlow Explained
03:15:41 TensorFlow
03:22:17 Hands-On
03:30:48 Convolutional Neural Networks
03:36:00 Convolutional Layer
03:46:44 Use Cases
03:56:25 What are Artificial Neural Networks
04:08:43 Training a Neural Network
04:20:05 Applications of Neural Network
04:23:11 Recurrent Neural Network
04:35:10 Long Short-Term Memory Networks
04:44:47 Long Short-Term Memory Networks - Use Case
04:52:04 Keras
05:02:40 Use Case With Keras
05:17:10 A* Algorithm in AI
05:41:52 Cognitive AI
05:46:51 COgnitive AI - Use Cases
05:50:14 Q Learning Explained
06:04:49 Transitioning to Q Learning
06:16:37 Water Jug Problem in AI
06:38:21 ChatGpt Explained
06:47:59 Dangers of AI
06:53:48 What AI is Like Right Now?
07:00:28 Mid-term dangers
07:08:43 What Does the Future Hold
07:10:41 Knowledge Representation in AI
07:26:10 Hill Climbing Algorithm
07:55:20 TOp 10 APplications of AI
08:09:59 Top 10 AI technologies
08:19:03 Top 10 Benefits of AI
08:30:52 AI Roadmap
08:42:21 AI Interview Questions & Answers

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This video on complete excel course - beginner to expert by Simplilearn is complete Excel tutorial that helps aspiring data analysts with excel data analytics fundamentals. This Microsoft Excel Tutorial For Beginners will cover basic topics of excel like data validation, conditional formatting, spreadsheet fundamentals to advanced excel topics like time series analysis, filters, slicers, excel dashboarding, data visualization, and much more.

00:00:00 Introduction to Microsoft Excel Full Course
Excel Basic Knowledge
How To Change Lower Case To Upper Case In Excel?
How To Add Rows In Excel?
How To Add Columns In Excel?
How To Select Entire Column In Excel?
How to Compare Two Columns In Excel?
How To Convert Rows To Columns In Excel?
How to Group Rows in Excel?
How To Remove Blank Rows In Excel?
How To Freeze Row In Excel Tutorial
How to Convert Numbers to Words in Excel?
Combining Data From Multiple Cells In Excel
How To Merge Cells In Excel
How to Add Date in Excel?
How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
How To Calculate Age In Excel From A Date Of Birth?
How To Calculate Time Difference in Excel?
Checkboxes In Excel
How to Insert Excel in PPT?
How To Insert Image In Excel?
How To Insert PDF in Excel Sheet?
How To Convert PDF To Excel
How to Insert Tick Mark in Excel?
How to add Watermark in Excel?
How to Increase Cell Size in Excel?
How to create Barcode In Excel
Excel Flash Fill
How to Add Hyperlink In Excel
Index Match In Excel
How to Sort by Date in Excel?
How to Use AutoSum In Excel
How To Sort Data In Excel?
Slicer and Filter in Excel
How to Add Filters in Excel
How to Create Drop-Down List In Excel?
Data Validation In Excel
How To Lock(Protect) Cells In Excel
How To Calculate Average In Excel?
Excel Print Page Setup
Page Break In Excel For Beginners
Conditional Formatting In Excel
How to Count Colored Cells in Excel?
DateDif In Excel Explained
Remove Duplicates In Excel
SUMIFS Formula in Excel
How To Create Pivot Tables In Excel
Autofill In Excel Explained
How to Calculate Percentage In Excel
How To Highlight Duplicates In Excel?
Charts In Excel
Progress Tracker In Excel
Excel Gantt Chart Tutorial
Pivot Tables In Excel
Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
How To Use Mail Merge Using Excel
Excel Lookup Tutorial
How to implement Vstack Function In Excel
Indirect Function Excel
How To Recover Unsaved Excel File
Project Planning in excel
How to Create MIS Report in excel
Time Series Analysis in Excel
Excel Dashboard Design
Excel Budget Template
Excel Interview Questions And Answers

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Learn how to use Pandas and Python for Data Analysis, to Data Cleaning and Data Wrangling. You will learn by creating real life projects interactively to help you take the next step in your Data Science Career.

Learn more about the projects at https://www.datawars.io/freecodecamp

⚠️ Important! We encourage you to try to resolve the projects by yourself first! And watch the solution afterwards ⚠️

💻 Course created by Santiago Basulto from DataWars.
🔗 Find more interactive Data Science projects solve at: https://www.datawars.io

⭐️ Projects Covered ⭐️
⌨️ (0:00:00) Introduction

⌨️ (0:02:22) DataFrames practice: working with English Words [🟢 Easy]
This project focuses on the basics of pandas DataFrames, including understanding its structures and modifying them. The data we're using is a big dictionary of english words.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-english-words

⌨️ (0:33:26) Filtering and sorting with Pokemon data [🟢 Easy]
This project focuses on the main tasks of Data Analysis: filtering and sorting and question/answering. The dataset includes information of pokemons from all generations (to make it more fun!)
🔗 Solve the project by yourself: https://www.datawars.io/fcc-filtering-pokemon

⌨️ (1:24:30) The Birthday Paradox in the NBA [🟡 Intermediate]
The Birthday Paradox answers the question: how many people do you need in the same room in order to have a probability of at least 50% that two people share a birthday. The answer is astonishing! You'll use your findings to find which teams in the NBA share player's birthdays.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-birthday-nba

⌨️ (1:55:28) Matching Strings by Similarity using Levenshtein distance [🟡 Intermediate]
One of the most challenging tasks of Data Cleaning is dealing with Strings. This project is all about string handling and advanced techniques, as using the Combinatorics and the Levenshtein distance to find irregularities in company names.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-string-similarity

⌨️ (2:24:15) Data Cleaning with Google Playstore dataset [🟡 Intermediate]
An all-encompassing project that covers all the aspects of Data Cleaning, including: finding and fixing null values, duplicate values, outliers and more. The data was scraped from the Google Playstore which means that is full of irregularities. The project finishes with some Data Analysis tasks!
🔗 Solve the project by yourself: https://www.datawars.io/fcc-data-cleaning-playstore

⌨️ (3:18:34) Premier League Match Analysis [🔴 Advanced]
This project increases the complexity of your Data Analysis skills, as it combines Data Cleaning, with some analysis based on grouping operations. The dataset comes from the Premier League, the top-division Football/Soccer league in England.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-premier-league

⌨️ (3:53:46) NBA 2017 season analysis: joining and groupby practice [🔴 Advanced]
This project puts your Data Wrangling skills to a test, by asking you to merge different dataframes, clean them, and finish doing some analysis and question/answering. The dataset contains the full information of 2017 NBA statistics.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-nba-analysis


🎉 Thanks to our Champion and Sponsor supporters:
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Learn Python programming in this complete course for beginners. This tutorial features mini-projects throughout so you can put what you learn into use immediately.

💻 Resources: https://github.com/gitdagray/python-course

✏️ Course developed by @DaveGrayTeachesCode

⭐️ Contents ⭐️
(0:00:00) Intro
(0:01:23) Chapter 1 - Getting Started
(0:14:50) Chapter 2 - Python Basics
(0:29:58) Chapter 3 - Operators
(0:46:18) Chapter 4 - Data Types
(1:23:25) Chapter 5 - User Input
(1:45:31) Chapter 6 - Lists & Tuples
(2:17:00) Chapter 7 - Dictionaries & Sets
(2:46:23) Chapter 8 - Loops
(3:09:03) Chapter 9 - Functions
(3:23:48) Chapter 10 - Recursion
(3:41:11) Chapter 11 - Scope
(4:00:30) Chapter 12 - Closures
(4:19:32) Chapter 13 - f-Strings
(4:42:15) Chapter 14 - Modules
(4:59:47) Chapter 15 - Command Line Arguments
(5:20:39) Chapter 16 - Challenges
(5:35:59) Chapter 17 - Lambda & Higher Order Functions
(5:56:45) Chapter 18 - Classes & Objects
(6:15:44) Chapter 19 - Exceptions & Errors
(6:27:29) Chapter 20 - OOP Project
(6:57:15) Chapter 21 - Virtual Environments & PIP
(7:27:23) Chapter 22 - File Operations
(7:49:32) Chapter 23 - Final Project


🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

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Read hundreds of articles on programming: https://freecodecamp.org/news

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This Tableau Tutorial For Beginners video will help you understand what is business intelligence why we need business intelligence, what are the various business intelligence tools, what is Tableau, why Tableau, how to install Tableau, and along with that you will also see how to get started with Tableau and it features such as worksheets, dashboards, hierarchy, calculated fields, parameters, sets, and charts.

Tableau Training For Beginners Part 2: https://www.youtube.com/watch?v=bI7CcCnrR-k

Below topics are explained in this Tableau training for beginners video:
00:00 Introduction to Tableau Tutorial For Beginners
1. Business intelligence ( 00:53 ) Tableau Tutorial For Beginners
- Why BI? ( 01:04 )
- BI tools ( 01:37 )
2. Tableau ( 01:53 ) Tableau Tutorial For Beginners
- Why Tableau? ( 01:57 )
- Tableau installation 05:54
3. Getting started 06:55 Tableau Tutorial For Beginners
- Connecting to data 06:58
- Tableau workspace 09:06
4. Worksheets & dashboards 10:10 Tableau Tutorial For Beginners
- Asking questions using visualizations 11:20
- Hierarchy & drill down 31:04
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- Parameters & sets 49:50
- Donut chart & 2-d pie chart 01:01:22

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Tableau is an interactive data visualization tool focused on business intelligence. It helps in simplifying the job of representing the raw data in the form of easily understandable and interactive graphs and charts. Tableau enables connectivity with a wide range of data sources like cloud, CSV files, databases, and much more.

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Everything we do is increasingly contributing to huge amounts of data which can be leveraged by organizations to increase their business. Organizations across the world make use of Tableau to analyze this huge amount of data and derive actionable insights from it. Tableau can help you to create complex and beautiful data visualizations. With its intuitive and user-friendly approach to data visualization, Tableau is today, a popular choice for big and small organizations.

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Prepare for JavaScript interview questions focusing on closures, functions, and currying. Throughout the course, you'll delve into various aspects of JavaScript, such as function declarations, expressions, scopes, and hoisting, as well as learning about advanced concepts like closures and lexical scope. You'll also gain a deeper understanding of currying and its practical applications in JavaScript.

Course created by @RoadsideCoder

Useful Links mentioned in the video -
🎥 var, let and const Video - https://www.youtube.com/watch?v=oUWRxJ19gfE&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5
🎥 map, filter, and reduce Video - https://www.youtube.com/watch?v=dGq0gi0wv64&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5&index=2
🎥 FE Interview Experience Video - https://www.youtube.com/watch?v=vxggZffOqek&list=PLKhlp2qtUcSb_WQZC3sq9Vw3NC4DbreUL&index=1

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Function Declaration
⌨️ (0:02:13) Function Expression
⌨️ (0:02:34) Anonymous Function
⌨️ (0:03:25) First Class Functions
⌨️ (0:04:54) What is IIFE?
⌨️ (0:06:05) IIFE - Interview Question
⌨️ (0:06:59) Closures
⌨️ (0:07:27) Function Scopes
⌨️ (0:09:10) Function Scope - Interview Question
⌨️ (0:10:18) Hoisting in Functions
⌨️ (0:13:40) Hoisting - Interview Question
⌨️ (0:15:46) Params vs Arguments
⌨️ (0:16:25) Spread vs Rest Operators
⌨️ (0:17:43) Interview Question on params, args, spread, rest
⌨️ (0:19:03) Callback Function
⌨️ (0:20:02) Callback Function - Interview Questions
⌨️ (0:20:58) Arrow Functions
⌨️ (0:21:59) Arrow function vs Normal Function
⌨️ (0:25:13) Closures
⌨️ (0:25:50) What is Lexical Scope?
⌨️ (0:27:39) Lexical Scope - Interview Question
⌨️ (0:28:53) What is Closure?
⌨️ (0:29:44) Example of Closures
⌨️ (0:30:57) Why Closure?
⌨️ (0:32:20) Closure Scope Chain
⌨️ (0:35:13) Ques 1 - What will it print?
⌨️ (0:37:10) Ques 2 - Write a function for this
⌨️ (0:39:29) Ques 3 - Time Optimisation with Closures
⌨️ (0:42:08) Ques 4 - setTimeout + block scope with Closures
⌨️ (0:47:08) Ques 5 - Create a private counter
⌨️ (0:49:49) Ques 6 - What is Module Pattern?
⌨️ (0:51:40) Ques 7 - Make this run only once
⌨️ (0:54:18) Ques 8 - Once Polyfill Implementation
⌨️ (0:58:11) Ques 9 - Memoise/Caching Implementation
⌨️ (1:03:46) Ques 10 - Closure vs Scope
⌨️ (1:04:25) Currying
⌨️ (1:04:55) What is Curring in Javascript?
⌨️ (1:05:23) Example of Currying
⌨️ (1:08:17) Ques 1 - Implement sum(2)(6)(1)
⌨️ (1:11:02) Ques 2 - Reusing Variable for logic
⌨️ (1:14:09) Ques 3 - Infinite Currying
⌨️ (1:18:27) Ques 4 - Currying vs Partial Application
⌨️ (1:20:37) Ques 5 - Manipulating DOM
⌨️ (1:23:01) Ques 6 - curry() implementation

FOLLOW ALONG LINK: https://www.freecodecamp.org/l....earn/responsive-web-

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This video is part of the Responsive Web Design Certification 300 hours Course From FreeCodeCamp.Org.
It should be noted, F3ND1MUS is not officially affiliated and does not represent FreeCodeCamp.Org, But does love their content and appreciates the information that was created, I create these videos to help the world learn more about code, coding, and technology, in order to create a better world of people helping themselves and others, also there is permission to use these videos as seen at the bottom of this description.

If you have any questions leave them in the comment section below, please follow along and learn and grow a little bit everyday by doing productive tasks everyday.

Understanding is best achieved through practicing and reading the material for yourself, watching will only provide so much immersion, although for some it may be adequate, for most it will not. This means doing the code is very important to gaining the experience and skills.

I am very much a beginner in programming and coding, this is my experience through this course, I may stumble, fall or even fail, but I will always dust myself off and come back when I am ready after a break, or some rest if needed, this cycle is continuous through life, and I suggest all students understand this and accept it for what it is.

Never stop learning.

Thank you for your time, I hope you found this video helpful.

F3ND1MUS

Permission to use the material on FreeCodeCamp.org is created with permission based on public information posted by Quincy Larson of FreeCodeCamp.org, for more information see here:
https://youtuberfriendlycompan....ies.blogspot.com/202

THANK YOU QUINCY LARSON AND FREE CODE CAMP.ORG TEAM!

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