The road to become an Data Scientist should through these books and skills!

Books should read

Programming

1. [Mark_Lutz] Learning Python powerful object-orientation
2. [Bill Lubanovic] Introducing Python
3. [Peter Wentworth] How to think like CS Python3
4. [John V.Guttag] Introduction to Computation and Programming using Python (rev. ed.)
5. [JakeVanderPlas] Python data science handbook.pdf

Maths

1. [W_hSteeb] Problems And Solutions in Introductory and Advanced Matrix Calculus
2. [James E.Gentle] Matrix Algebra - Theory computatations and Application on Statistics

Programming

1. Python
   • Learn Python by iteractive pratice
   • Practice Python Java Coding from Codingbat.com
   • An Introduction to Interactive Programming in Python (Part 1)by Rice University
   • Introduction to Python
   • Python3 Tutorials
   • Practice Python Coding at Leetcode.com
   • A2A from Quora.com

   Tip from Daniel Bourke:

   1. Courses
      • fastai ML course - Introduction to Machine Learning for Coders! Harvard
      • Coursera - Introduction to Data Science in Python University of Michigan
      • Coursera - Mathematics for Machine Learning: Linear Algebra - Imperial College London
      • Coursera - Mathematics for Machine Learning: Multivariate Calculus - Imperial College London
      • Coursera - Mathematics for Machine Learning: PCA - Imperial College London
      • Architecting with Google Compute Engine Specialization
      • Coursera - Applied Data Science with Python Specialization Univ.Of Michigan
      • Datacamp (learning Python for ML)
   2. Books
      • Machine Learning For Humans
      • Python for Data Analysis
      • Hands-on Machine Learning with Scikit-Learn and TensorFlow
      • Grokking Deep Learning
      • The Mechanics of Machine Learning
      • The Hundred-Page Machine Learning Book (online)
   3. Blogs
      • Best blog - Jalammar.github.io
      • Best sources
      • https://stackabuse.com/
   4. Other sources
2. C++
   • w3school
   • C++ Core Guideline

3. SQL

4. ROS

5. Data Structure
   • No1. Algoriothm book - [Thomas_H.Cormen] Introduction to ALGORITHMS 3rd
   • Open Data Structure
   • Code in Python

Mathematics

1. Linear Algebra

2. Advanced Calculus:
   • [W_hSteeb] Problems And Solutions in Introductory and Advanced Matrix Calculus
3. Statistics:
   • Think Stats - Probability and Statistics for Programmers
4. Machine Learning
   • Online Udacity Courses

5. Deep Learning

6. Mathematics for Computer Science
   • MIT Course

Road to jobs

1. Data Science
   • CS109 Data Science - Harvard
   • DataScience with master program
   • 26 Weeks of Data Science
   • Python Data Science Handbook - O’Reilly
   • Interactive Python
   • Datacamp for Python

2. Robotictist

3. Job Interview
   • Mastering the Software Engineering Interview by University of California San Diego

General Sources:

• How to think like Scientic