Content - Guide!!.txt

A complete guide to (Data Science, ML and Data Analysis) in 2022 without any background in the field.

Free Self-Learning Roadmap from A to Z for anyone interested in breaking into this field!

📌Roadmap: https://github.com/Moataz-Elmesmary/Data-Science-Roadmap

It provides :
- Best resources (En/Ar)
- Best Books (All Free!)
- Most recommended Lectures/Courses by well-known seniors/professors.
- Collection of best Cheat Sheets.
- Guidance to the most used common tools.
- Best collection of Data Science Interview Questions.
- CV/Resume Guide - Tips - Templates.
- Competitions full guidance.
- Data Analysis Recommendations.
- Data Engineering Recommendations.
- Data about Ai/ML/Data Companies in Egypt.

Let me know if I missed any good resources!
This guide is regularly updated.


📌Roadmap Explanation:
https://www.youtube.com/watch?v=HbIPJuvzRLk (Video)



If you Don't know What`s Data Science or Projects Life Cycle (starting from Business Understanding to Deployment) or Which Programming Language you should go for or Job Descriptions or the required Soft & Hard Skills needed for this field or Data Science Applications or the Most Common Mistakes, then
📌This Video: https://youtu.be/5zRvq7CG6Zw is for you.