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Making Money with Data

Students learn how to make money from data. This hands-on class builds on prior Internet-of-Things courses and teaches how to create, add value, and establish pricing for data services.

  • Course Number

  • Classes Start

    Rolling Admission
  • Estimated Effort

    6 hours/week

About This Course

The exploding demand for data science professionals is well documented, with average salaries above six figures and LinkedIn reporting a shortage of over 150,000 people with data science skills. This course is not only for students looking to explore jobs in data science, but also to explore the power of statistical thinking in less conventional areas of their lives and careers. A data science background can make a more powerful investor, or elevate your side hustle!

This course covers the fundamentals of making money with data. Students will be exposed to  data science concepts like cleaning, organizing and visualizing data. Each module also includes lessons on how to apply a data driven mentality to real world situations.

The Making Money with Data course can be taken entirely at your own pace. It combines short, video-based lessons & exercises with powerful case-based homework assignments. All lessons and exercises are performed in Jupyter Notebook. 

What will I learn?

  • Basic statistical concepts. Random Variables, Mean, Variance, Covariance, Correlation, Distributions, Confidence Intervals and Statistical Significance.
  • Python for Data Analysis
  • NumPy & Pandas Basics
  • Data Frames
  • Regular Expressions
  • Variable Types, Data Aggregation
  • Merging Data Sets
  • Data Visualization
  • Predictive Analytics

Course Staff

Jitesh Shah

Jitesh Shah

Jitesh Shah turns data into dollars through improved operational efficiencies, better product designs and reduced costs. He designs and builds hardware and interconnect systems at Renesas Electronics by drawing upon expertise in disciplines such as materials science, heat transfer, electromagnetic and RF design, statistics, machine learning and operations research.

He is a sucker for great books. He reads everything and anything that he gets his hands on, and an amalgamation of some of that and more sometimes finds its way into the stories he writes at a couple sites - on all things data at and a collection of his hardware & interconnect engineering related write-ups appear at

I have spent my entire 20+ year career in the fields of integrated systems and IoT. I currently serve as the director of engineering at IDT in San Francisco, and I occasionally write on all things data around the web or at my personal website

Frequently Asked Questions

Who are these courses for?

Our courses are primarily geared towards two specific groups:

  • Students of all ages looking to quickly and affordably gain highly marketable technology skills
  • Working professionals who want to improve their modern technical skills, as well as meet new people and build working projects

Can I take the courses at my own pace?

Our courses can be offered in an asynchronous (at-your-own-pace) or synchronous (instructor-led) mode.

How much weekly work is expected for a Microfacturing Institutes course?

Students taking MI courses can expect to spend roughly 3-6 hours per week on coursework for each class.

Does this course have prerequisites?

Making Money with Data requires a knowledge of introductory Python and Data Science, although students who are unfamiliar with Python will have a chance to take a remedial Python module at the start of this course. Access to a laptop computer is required.

What web browser should I use?

Most current browsers will work just fine. Microfacturing Institutes courses use the Open edX platform, and the Open edX platform recommends using Chrome or Firefox.

Where can I get more information about upcoming Microfacturing Institutes courses?

For more updates and information about upcoming Microfacturing Institutes classes, please add your email address so that we can add you to our mailing list.


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