Roadmap to learn Data Science This is a repository which contains a structured list of resources which includes online MOOC's and free ebooks to assist beginners who have just started with Data Science.
Please feel free to contribute to this repository and leave a ⭐ if you found it helpful.
It is not necessary to complete all the courses mentioned below. If you feel that you are already proficient with some sections feel free to move to the next section.
Intro To Programming [OPTIONAL]
Index
Course Name
Link
Description
1.
Introducion to Programming
Link to the Course A brief overview of programminig(no prior programming language experience needed)
2.
Introducion to Data Science
Link to the Course This is a great mini course to get a birds eye view of every toipc of Data Science
Index
Course Name
Link
Description
1.
Python for Everybody Specialization
Link to the Course This is for beginners who have never programmed in their life!
2.
Python 3 Tutorial by Jose Portilla
Link to the Course This is by far the best course to learn Complete Python 3 concepts!
3.
Kaggle MicroCourse
Link to the Course This is a great course to test your skills!!Look out for the Blackjack problem 😁
4.
Python Exercises
Link to the Exercises This is a great problem set for Python
Index
Course Name
Link
Description
1.
Numpy
Link to the Course A course covering the basics of the Numpy Library. Numpy is the fundamental package for scientific computing with python.
2.
W3 Resources Numpy Exercises
Link to the Exercises Amazing resource to practice Numpy functions
3.
Pandas
Link to the Course This is a video course covering the basics of the Pandas Library. Pandas is the fundamental package for data analysis in python.
4.
Kaggle Pandas Course
Link to the Course This is a course covering Pandas library with challenging exercises
5.
W3 Resources Pandas Exercises
Link to the Exercises Amazing resource to practice Pandas
6.
Matplotlib Course
Link to the Course A tutorial that focuses on using matplotlib to visualize data. Matplotlib is python library for creating static visualizations.
7.
Kaggle Data Viz Course
Link to the Course This is a complete course covering all the important visualization libraries with challenging exercises
Index
Course Name
Link
Description
1.
Overview
Link to the Video Overview of Why Maths is needed in Data Science
2.
Khan Academy-Linear Algebra
Link to the Playlist Great playlist by Khan Academy to learn linear algebra
3.
Linear Algebra for Machine Learning[OPTIONAL]
Link to the Video Complete Linear Algebra Course
4.
Statistics-Khan Academy
Link to the Video Complete Statistics Course
5.
Probability by Khan Academy
Link to the Playlist Amazing resource to learn Probability from Khan Academy!
6.
Learn Statistics Visually
Link to the Playlist Learn Statistics in a fun way
7.
Maths for Machine Learning[HIGHLY OPTIONAL]
Link to the Course Specializtion to learn Maths for ML
8.
Maths for Machine Learning Ebook[Reference book]
Link to the Book PDF Use this as a Reference book
9.
Choosing which statistical test to use - statistics help.
Link to the Exercises A tutorial explaining seven statistical test and how to use them.
2.0 Data Analyst (To Be Completed)
Index
Course Name
Link
Description
1.
MySQL Tutorial for Beginners [Full Course][HIGHLY RECOMMENDED]
Link to the Video Excellent for all beginners. Very well structure and with both theory AND exercises for practise. Also, seems pretty complete. -> +3 hours! :)
2.
SQL For Data Science Tutorial | Learn SQL Database For Data Science
Link to the Video This video can be used to get a general overview of how useful SQL can be, both in general and for ML. +/- 30 minutes
3.
Database Normalization in SQL - 1NF, 2NF, 3NF, 4NF - SQL
Link to the Course This video is very specific and deals with Normalization in databases. +/- 4à minutes
4.
Logical Database Design and E-R Diagrams
Link to the Video !Another specialized video, this time dealing with the concepts of design and diagrams. (seems closer to real business use) +/- 30 minutes
3.0 Data Science (To Be Completed)
Index
Course Name
Link
Description
1.
Complete Python Bootcamp for Data Science
Link to the Course A complete course covering all the important data science libraries
4.0 Machine Learning (To Be Completed)
5.0 Deep Learning (To Be Completed) Artificial Neural Networks
6.0 Data Engineering (To Be Completed)