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Predicting typical completion rates of online courses

140 lines of code (Python)

Massive open online courses (MOOCs) did not revolutionize education. Why? They suffer from abysmal completion rates. Most students start a MOOC without finishing it. In this blog post I take a look at what my own company's e-learning course completion rates would be if we offered standard MOOCs.

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Modelling rating data correctly using ordered logistic regression

70 lines of code (Python)

Using rating data to predict how much people will like a product is more tricky than it seems. Even though ratings often get treated as if they were a kind of measurement, they are actually a ranking. The difference is not just academic. In this blog post I show how using an appropriate model for such data improves prediction accuracy.

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Creating the right data map

280 lines of code (R)

Information with a geographical element can best be visualised with a map. However, big regions tend to dominate maps independent of their actual importance. I show possible ways around this issue and let you generate the right data map for your own purposes without needing to code.

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An analysis of the rental bike market in Berlin

200 lines of code (Python)

2018 was a wild summer for the rental bike market in Berlin. Many new bike systems pushed into the market in the beginning. By now, two have already left. In between, I counted every rented bike I saw. Which bikes got rented the most?

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Starting off in data science

200 lines of code (R)

A little more than a year ago, I decided to pursue a career in data science. Today, I work as an educational data scientist for StackFuel, a small start-up in Berlin. How did I do it?

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SQL versus R - who is faster?

225 lines of code (R)

Is it worth organising your data in a data base if all you are interested in is speed? It depends on what you are doing with the data. This guide teaches you where to expect speed advantages of SQLite and R.

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