kbelulip / shared-materials

This repository will contain all shared materials (slides, documents, assignments, ...)

Programming Data Science

This repository contains all student materials (assignments, data, ...) for the programming data science course in summer 2019.

If you participate in the course, please send an email to Jörn Grahl and ask for access.

I grant students read-only access as a collaborator. Please fetch updates regularly.

Here is the tentative schedule for summer 2019:

Schedule

#	Date	Topic
1	04.04.2019	Fundamentals Organization, dates, groups, project leaders. Tools and accounts. Source control. Reproducibility. Coding and reporting. Method chaining. Folders.
2	11.04.2019	What can computers learn from data? Mapping questions to model classes, statements, and tests. The ladder of causality.
3	25.04.2019	Visualizations (plots) Grammar of graphics
4	02.05.2019	Coding 1 Data wrangling 1/2 & method chaining
5	09.05.2019	Coding 2 Data wrangline 2/2
6	16.05.2019	Flexible tables for descriptive statistics (and everything else), regression results
7	23.05.2019	Comparisons: basic inference, tests, p-values, multiple comparisons
8	06.06.2019	Choosing the best model Overfitting, bias-variance tradeoff, resampling schemes, choosing the best ML model, cross-validation, paired T-tests, training and evaluation errors
9	27.06.2019	In-depth linear regression
10	04.07.2019	In-depth decision trees
11	11.07.2019	Buffer