Harvard's series on data science with R: basics, visualisation, probability, inference, wrangling, machine learning and a capstone.
Led by Rafael Irizarry, the series teaches data science through R and real-world case studies, covering visualisation, probability, statistical inference and modelling, productivity tools, wrangling, linear regression and machine learning.
glitchdata links to this course; its content, schedule and pricing are set by HarvardX.
This course is run by HarvardX. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
pll.harvard.edu ↗2 min read
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Google's entry-level data analytics programme: spreadsheets, SQL, Tableau and R, with a portfolio case study.
Stanford's course on statistical thinking: descriptive statistics, probability, sampling, regression and hypothesis tests.
A beginner-friendly course on querying data with SQL: filtering, sorting, joins, subqueries and data preparation.