Data science courses
I spent four years at Dataquest writing data science courses full-time, plus tutorials, guides, and portfolio projects. Nine courses in total, each taking three to four months to build. For every course, I wrote the theory and the coding exercises, created the portfolio project, briefed the designer, ran the beta test, and maintained the course after launch.
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The company’s most important course, and the first one most learners took.
DataquestIntroduction to Python Programming
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Sampling, variables, and frequency distributions.
DataquestIntroduction to Statistics in Python
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Bayes’ theorem, ending with a spam filter built with the Naive Bayes algorithm.
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Each chart tied to the statistical idea it shows: line graphs for time series, scatter plots for correlation, histograms for distributions.
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How to design for an audience using Gestalt principles, pre-attentive attributes, and storytelling techniques.
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For loops, conditionals, and dictionaries.