Overview

I have taken a number of MOOCs on programming, statistics and data analytics. Below is a selected list of the more comprehensive courses.


Programming

  1. Teaching Physical Computing with Raspberry Pi and Python
    • FutureLearn online course, June 2018
    • Description: Four-week introductory course on Raspberry Pi and Python. Focus on using programming as a teaching tool.
  2. The Complete Python Course. Learn Python by Doing
    • Udemy online course, September 2018
    • Description: 27.5-hour intensive course on the Python programming language. Content includes basic concepts, object oriented programming, databases, web scraping, and web development.
  3. Chromebook Data Science (CBDS)
    • Leanpub online course, Johns Hopkins University, October 2018
    • Description: 12 course set designed to educate anyone with a computer on the basics of data science. A particular focus is placed upon less expensive methods for performing data analysis (e.g., Chromebook). All data analysis is taught using R.


Statistics

  1. Biostatistics for Big Data Applications
    • edX online course, University of Texas Medical Branch, October 2018
    • Description: Eight-week course covering fundamental biostatistical methods with a focus on analyzing and visualization data using R.
  2. Statistics for Data Analysis and Business Analysis
    • Udemy online course, January 2019
    • Description: Five-hour course on statistics and data analysis, spanning basic concepts through regression analysis.
  3. Statistics for Business Analytics and Data Science A-Z
    • Udemy online course, January 2019
    • Description: 7-hour course on statistics and data analysis.