1) ?The Complete 2023 Web Development Bootcamp?

Become a Full-Stack Web Developer with just ONE course. HTML, CSS, Javascript, Node, React, MongoDB, Web3 and DApps

By:- A@NGELA YU

? Google Drive Download Link :-

Lectures 1 - 23

2) Azure (Bootcamp)

50 rupees

Contact:- @meterials_available

?IT learning courses
?All programing courses
?Abdul bari courses
?Ashok IT
?Linux
?Networking
?Design patterns
?Donet
?Docker
?Entity framework
?Node.js
?ASP. Net
?Aps. Net cro
?java
?JavaScript
?full stack developer

Tutorials + Books + Courses + Trainings + Workshops + Educational Resources

?Data science
?Python
?Artificial Intelligence
?AWS Certified
?Cloud
?BIG DATA
?Data Analytics
?BI
?Google Cloud Platform
?IT Training
?MBA
?Machine Learning
?Deep Learning
?Ethical Hacking
?SPSS
?Statistics
?Data Base
?Learning language resources  English , ??

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⚡️ Basics

⚡️ Reconnaissance and Footprinting

⚡️ Network Scanning

⚡️ Enumeration

⚡️ Firewalls HIDs Honeypot

⚡️ Malware and Threats

⚡️ Mobile Platform

⚡️ Pentesting

⚡️ Sql Injection

⚡️ System Hacking

⚡️ Web Application

⚡️ Wireless Network

⚡️ Cloud Computing

⚡️ Web Server

⚡️ Social Engineering

⚡️ Session Hijacking

⚡️ Sniffing

⚡️ BufferOverflow

⚡️ Cryptography

⚡️ Denial Of Service

All courses (100 rupees)

Contact:- @meterials_available

DATA SCIENCE ROADMAP

This is the Ultimate RoadMap to become a Data Scientist, one needs to learn the following things. I have added the
resource links of all important things in this PDF.
DO YOU NEED A COLLEGE DEGREE?
With basic understanding of Maths, you can start. Even if you are not doing B Tech, Basic BSC Degree with Maths or some
other equivalent will suffice.
REQUIREMENTS [RESOURCES CAN BE FOUND AT THE END OF THIS DOCUMENT]
• Statistics + Maths
o Linear Algebra Notes (Amazing Resource for revising Data Science by Queen Mary University of London)
o Learn the basics of Mean, median, mode, dy/dx. This quick video can help you get started.
o Buy a copy of Hines Book (Probability and Statistics in Engineering by William Hines)
o Focus a bit more on Normal Distribution
o Learn basics of Optimization and Gradient Descent. You can watch this series I created long back.
o Get this amazing book on Graphs (Play with Graphs Book – Amit Aggarwal)
• Programming
o If confused choose Python as your first programming language
▪ Python in Hindi – 100 Days of Code by CodeWithHarry
▪ For English Lovers, there is this awesome course on Udemy
• Now once you have a basic understanding of Python, start learning Data Science
o Learn Basics – Start from this free book or buy it on Amazon
o Learn to use this amazing package for building quick Data Reports
o Learn NumPy from here
o Learn Pandas from here
o Matplotlib / Seaborn from here
• Database – Learn Basic CRUD Operations and depending upon how you are fetching your data, pick from these
technologies.
o MySQL
o MongoDB
o PyMongo
o SQLAlchemy
• Transition to ML/DL – Once you have some good hold on Python, Pandas and some data science projects, start
transitioning to Machine Learning.
o Grab a copy of this book: Hands on ML with Scikit-learn and Tensorflow (Author of this book also maintains
constantly updating Github Repo)
o Watch this project video I created on an End-to-End ML Project
• Linux & GIT
o Learn Basic Commands of Linux from this video by CodeWithHarry
o Learn to push your code to GitHub - Watch this quick video.
o Learn how to SSH into a Linux machine & abut SSH Keys
• Optional Tools that you can learn depending upon your requirements.
o AWS – Create an account and get started for Free. It will take you a long time to master it
o Learn about cronjobs from this video
o Learn about BeautifulSoup for Web Scraping using Python
o Tableau/Hadoop/PowerBI
o Excel VBA
o Good Code Repos & Papers: PapersWithCode

Learn for free in 2024

1. HTML
   html.com

2. CSS
   css-tricks.com

3. JavaScript
   javascript.info

4. Git & GitHub
   git-scm.com

5. React
   react-tutorial.app

6. APIs
   rapidapi.com

7. SQL
   sqlbolt.com