Data science skill development

This is a list of courses I’ve taken as I’ve delved deeper into data science and statistics.

Course Example projects or notes
Programming for Everybody (Coursera)  
Python Data Structures (Coursera)  
Using Python to Access Web Data (Coursera)  
Using Databases with Python (Coursera)  
Capstone: Retrieving, Processing, and Visualizing Data with Python (Coursera) Gene subpaneling project
Introduction to Data Science in Python (Coursera) Housing prices (final assignment)
Applied Plotting, Charting & Data Representation in Python (Coursera) Correlation of spending and winning (final assignment)
Machine Learning (Coursera) All assignments
The Complete SQL Bootcamp (Udemy)  
A/B Testing by Google (Udacity)  
Statistics and probability (Khan Academy)  
Bayesian Statistics: From Concept to Data Analysis (Coursera)  
Python for Data Structures, Algorithms, and Interviews! (Udemy)  
Intermediate SQL (DataCamp)  
Neural Networks and Deep Learning (Coursera)  
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Coursera)  
Structuring Machine Learning Projects (Coursera)  
Statistical Rethinking (by Richard McElreath) Completed homework assignments and led informal discussion group

Tool development through projects.

Tool Context of use Notes
MATLAB Graduate school academic projects Publication
R Postdoctoral and biotech industry projects Industry projects
Python Multiple projects Projects and posts
Bash Biotech industry projects Bioinformatics scripts