• Top Data Science Online Courses in 2018

• Data Scientist roadmap

• Top 5 free learning resources

Online Jupyter @ Google: https://colab.research.google.com/notebooks/welcome.ipynb 

Cool module syllabus with many links to resources 

https://www.cse.iitk.ac.in/users/piyush/courses/ml_autumn18/index.html 

http://deeplearning.cs.cmu.edu/  & github: https://github.com/Eurus-Holmes/cmu11-485-785 

• What is the Team Data Science Process?

https://adgefficiency.com/ 

and related teaching resources: https://github.com/ADGEfficiency/teaching-monolith 

https://energyanalyst.co.uk/ 

https://rstudio.com/resources/cheatsheets/ 

A brief introduction to the Tidyverse: https://www.youtube.com/watch?v=6Q_uHqxhpMI&t=3369s 

Data and code: https://github.com/russey/tour_of_the_tidyverse 

Nice course from Penn State : https://online.stat.psu.edu/stat414/lesson/introduction-stat-414

Measure of association: https://peterstatistics.com/CrashCourse/index.html

Association for categorical data :

•  https://towardsdatascience.com/the-search-for-categorical-correlation-a1cf7f1888c9

• https://rstudio-pubs-static.s3.amazonaws.com/558925_38b86f0530c9480fad4d029a4e4aea68.html

• EDA

  • Pandas on kaggle https://www.kaggle.com/kashnitsky/topic-1-exploratory-data-analysis-with-pandas

  • Measure of association: https://peterstatistics.com/CrashCourse/index.html

Lots of resources and tutorials:

https://github.com/tommyod/awesome-pandas

Tips and tricks

https://gardnmi.github.io/blog/jupyter/pandas/2020/10/18/stack-overflow-tips-and-tricks.html

https://ramorel.github.io/posts/r-v-python/

https://www.youtube.com/watch?v=8eh5A72hIWM

https://www.scipy2020.scipy.org/tutorial-information

Bayesian Data Science by Simulation | SciPy 2021