A few months ago I was selected to take part to the Bertesmann Data Science Challenge Scholarship Course on Udacity. The scholarship is basically a program in two phases: In the first one, 15,000 participants were selected to take part to a 3-months “challenge course” covering the basics of data analytics (basic statistics, introduction to …
Continue reading Impressions on Bertesmann Data Science Challenge Scholarship Course on Udacity
I have recently completed the first term of the Udacity Nanodegree in Data Analytics (which is structured in two independent “terms” of three months each, even though the first one is optional). It mostly covered Python (in particular numpy and pandas, the Python libraries for data analysis), SQL and practical statistics (basically from the basics …
Continue reading Impressions on Udacity Data Analyst Nanodegree
ITSx: Policy Analysis using Interrupted Time Series Provider: edX (UBCx) Tutors: Michael Law If you have already read some of the posts I wrote about MOOCs, it shouldn’t come as a surprise that I tend to prefer edX over Coursera. And indeed, this is another course that left me much more satisfied than most of …
Continue reading ITSx: Policy Analysis using Interrupted Time Series, edX MOOC
The Data Scientist’s Toolbox R Programming Getting and Cleaning Data Exploratory Data Analysis Reproducible Research Statistical Inference Regression Models Part of the Data Science Specialization Provider: Coursera (John Hopkins University) Tutors: Roger D. Peng, Brian Caffo, Jeff Leek I have somehow mixed feelings towards MOOCs provided by Coursera. Their offer is wider than other providers, …
Introduction to statistics: Descriptive statistics Introduction to statistics: Probability Introduction to statistics: Inference Provider: edX (BerkeleyX) Name of tutor(s): Adi Adikhari Perhaps because this was the first MOOC I undertook, or because it was my first contact with statistics, I feel some sort of sentimental attachment to it. (Note that I simply attended the course …
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