Data Science 1 - Programming & Visualization

Module description

This is the first out of four modules in the data science program newly introduced into the Bachelor Programs of the Biology Department, University of Hamburg. Data Science 1 gives an overview of the topic and program and introduces students into the open-source spreadsheet program Calc and particularly into the world of programming and visualizing in R.

Lecture slides - winter semester 2022/2023 by Saskia Otto

This Github repository holds the following course-specific HTML lecture slides (all in German), which soon can be accessed from the actual course website:

https://datasciencebiology.blogs.uni-hamburg.de

0. Introduction to the Data Science Program
1. Introduction to data and data management
2. Descriptive statistics
3. Biological processes explained through math
4. Introduction to programming and R
5. Basics in R: variables and vectors
6. Basics in R: other objects
7. Data wrangling with tidyverse 1: import/export and data cleaning export
8. Data wrangling with tidyverse 2: data aggregation and transformation export
9. Principles of visualization
10. Data visualization in R
11. Modifying ggplots
12. ggplot2 extensions, maps and interactive plots
13. Handling special data types in R

Calc Tutorial

1. Create tables
2. Calculate with Calc
3. Create diagrams
4. Export

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License except for the borrowed and mentioned with proper source: statements.