Completed UCSD’s Machine Learning with Big Data on Coursera with a 98.9% mark. The ML theory was introductory — a good refresher on Naive Bayes, Decision Trees, and k-Means, but nothing new. The real value was the hands-on introduction to KNIME and Spark ML applied to real datasets.
Together with the previous course this was more practically focused than the earlier modules in the specialisation, which is what I was after.