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Data Science Courses and Resource Reference

I am working as data scientist. I took various machine learning courses from a different resource available on the net. And also read a couple of books. I also made notes of the concept and so that it help to revisit those concepts.

R

I first started my journey in data science from Besant Technologies Bangalore (India). It is a very comprehensive course about the statistics and probability, exploratory data analysis, machine learning and R program. Later I come across a few books by written Hardley Wickhom. It is fascinating to read Hardley's book, the author of many great packages such as ggplot,dplyr and tidyverse in R.

Course/Book Name Link Repository
R for Data Science bookdown git

Python

Here is few resource for learning python.

Course Name Link Repository Notes
Complete Python Bootcamp: Go from zero to hero in Python Udemy github notes
Python for Data Structures, Algorithms Udemy github notes

Various Youtube resouses

Course Name Link Tutor Notes
Python OOP Tutorial youtube Corey Schafer NA
Flask Workshop - PyCon 2015 youtube Miguel Grinberg git
Demystifying the Patch Function - PyCon 2018 youtube Lisa Roach NA
Unit Tests and Test Doubles like Mocks, Stubs & Fakes youtube CodesBay git
Interesting Topics of Modern Python Programming youtube CodesBay git

Machine Learning

Here is few resource for learning machine learning.

Course Name Link Repository Notes
Machine Learning by Andrew Ng coursera NA NA
Python for Data Science and Machine Learning Bootcamp Udemy NA notes
Machine Learning A-Z™: Hands-On Python & R In Data Science Udemy drive notes
Hands-on Machine Learning with Scikit-Learn and TensorFlow by Aurélien Geron oreilly git notes

Various youtube resource

Course Name Link Tutor Notes
Machine Learning at University Birtish Columbia CPSC-340 youtube Nando de Freitas notes
Machine Learning at University Birtish Columbia CPSC-540 youtube Nando de Freitas notes
Time Series Analysis with Python Intermediate youtube Aileen Nielsen git
Applied Time Series Econometrics in Python and R youtube Jeffrey Yau git

Deep Learning

Here is few resource for learning deep learning.

Course Name Link Repository Notes
Deep Learning A-Z™: Hands-On Artificial Neural Networks Udemy super ds notes
Introduction To Machine Learning by Duke University coursera certificate NA notes
Practical Deep Learning with PyTorch udemy NA NA
Complete Guide to TensorFlow for Deep Learning with Python udemy NA NA
PyTorch 101: An Applied Tutorial youtube NA NA
Deep Learning With PyTorch - Full Course youtube git-python-engineer NA

Statistics and Probability

Course/Book Name Link Repository
Statistics 110: Probability, Harvard University by Joe Blitzstein youtube Harvard
Think stats2 green tea press git
Think bayes2 green tea press git
Statistics Probability khan academy Na
jb statistics youtube jbstatistics
Computational Statistics -SciPy 2017 by Allen Downey youtube git
Bayesian Statistics Made Simple -Scipy 2019 by Allen Downey youtube git

Data Base

Course Name Link Repository Notes
The Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert Udemy NA NA
MongoDB with Python Crash Course youtube talkpython NA
SQL Tutorial - Window Functions youtube NA NA
MASTER CODING FOR DATA SCIENCE youtube stratascratch QnA