Category Archives: Data

Data Science Capstone Review

Data Science Capstone Review

  Overview of the Data Science Capstone Project and Approach The Johns Hopkins Data Science Capstone project concluded around Christmas last month. It was an interesting experience, and very different than the other classes. The project, a partnership with smartphone app maker SwiftKey, required students to create a predictive text web app that worked much… Continue Reading

Best R Tutorial Sites

Best R Tutorial Sites

There’s no doubt that the ability to analyze data and do predictive modeling by programming in R is a very valuable skill, whether you are looking to learn it for a college statistics class or one of a great many great jobs that utilize R. If you are trying to get started on your own,… Continue Reading

From Classroom Culture to Corporate Culture

From Classroom Culture to Corporate Culture

If you’ve followed Tech Powered Math over the last year, you’ve probably suspected this day was coming. I’ve been pretty open about the fact that I’ve been exploring career options for some time now, first via some career coaching and over the last 6+ months by retraining through Johns Hopkins’ Data Science specialization on Coursera.… Continue Reading

Thoughts on Completing the 9 Johns Hopkins Data Science Courses

Thoughts on Completing the 9 Johns Hopkins Data Science Courses

A process that began 4 months ago, the sequence of 9 Johns Hopkins Data Science Specialization courses on Coursera, wrapped up for me late last week with my last quiz in course 9, Developing Data Products. While I haven’t truly finished the specialization yet (the first ever capstone project doesn’t launch until late October), I… Continue Reading

Developing Data Products Coursera Review

Developing Data Products Coursera Review

The ninth and final course prior to the capstone in Johns Hopkins Data Science Specialization on Coursera is Developing Data Products. This is the third and final course in the sequence taught by Brian Caffo. After taking the lead on two statistics courses, Statisical Inference and Regression Models, this class seemed to bring out a more humorous side… Continue Reading

Practical Machine Learning Coursera Review

Practical Machine Learning Coursera Review

The eighth course in Johns Hopkins Data Science Specialization on Coursera is Practical Machine Learning This is the third and final course in the sequence taught by Jeff Leek. Probably more than any other course in the JHU series of classes, this is the one that feels like it brought the whole sequence together. Students of Practical Machine… Continue Reading

Regression Models Coursera Review

The seventh course in Johns Hopkins Data Science Specialization on Coursera is Regression Models. This is the second course in the sequence taught by Brian Caffo, after Statistical Inference. Much like that course, the emphasis here is on mathematics, and people who have been out of the mathematical loop for a while will probably find this… Continue Reading

Statistical Inference Coursera Review

The sixth course in Johns Hopkins Data Science Specialization on Coursera is Statistical Inference. This is the first course in the specialization taught by Brian Caffo. In my review of the R Programming course, I mentioned that there were two places in the sequence that seemed (based solely on my observations of forum comments) to be bogging… Continue Reading

Reproducible Research Coursera Review

The fifth course in Johns Hopkins Data Science Specialization on Coursera is Reproducible Research. This is the third and final course in the sequence taught by Roger Peng. Reproducible Research is the course among the first five in the specialization (except The Data Scientist’s Toolbox), where I spent the least time learning new R code. Instead, the… Continue Reading