The walkthrough and review of this online course continues with a module about exploratory data analysis, as taught by data scientists from Facebook.
How do you audit the validity, accuracy, completeness, consistency, and uniformity of your data? That is covered by the third module of this online course.
My review of this online course moves on to wrangling: the acquisition and cleaning of data.
Two years ago I challenged Commsrisk Editor Eric Priezkalns to answer my questions about RAFM training. Those questions have not yet been answered.
This well-designed course opens with a refresher in statistics.
This embedded Prezi presentation visualizes the variety of data science courses on offer, and the conceptual links between them.
This is a good course that provides a solid foundation in data science. However, the amount of homework and deadlines for completion will pose problems for anyone with a busy life.
The content of this edX course was solid but the way the material was presented could have been improved.
Homework deadlines are proving a challenge as week 6 of the edX course tackles the idea of clustering.
Week 4 dealt with classification and regression trees whilst week 5 focused on the processing of natural language.