Data science skill development

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

Course Example projects or notes
Programming for Everybody (Coursera) Completed
Python Data Structures (Coursera) Completed
Using Python to Access Web Data (Coursera) Completed
Using Databases with Python (Coursera) Completed
Capstone: Retrieving, Processing, and Visualizing Data with Python (Coursera) Completed, Gene subpaneling project
Introduction to Data Science in Python (Coursera) Completed, Housing prices (final assignment)
Applied Plotting, Charting & Data Representation in Python (Coursera) Completed, Correlation of spending and winning (final assignment)
Machine Learning (Coursera) Completed 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) Completed
Python for Data Structures, Algorithms, and Interviews! (Udemy)  
Intermediate SQL (DataCamp)  
Neural Networks and Deep Learning (Coursera) Completed
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Coursera) Completed
Structuring Machine Learning Projects (Coursera) Completed
Statistical Rethinking (by Richard McElreath) Completed homework assignments and led informal discussion group
Python Object-Oriented Programming (LinkedIn Learning Completed

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