| DAY 1 | DAY 2 | DAY 3 |
|---|---|---|
| Coffee and the day before (optional) | ||
| Introduction and motivation | Conditionals | Visualization I |
| Tools | Loops | Visualization II |
| Variables and data types | Functions | |
| Numbers and operators | ||
| Importing data | Numpy | Datathon Example datasets |
| Data structures | Pandas | Datathon Example datasets |
| Presentations |
- Basics:
- Data Science:
- Visualization:
-
- interactive python basics tutorial
-
Springboard - Data Analysis with Python, SQL, and R
- starts with - Solo Learn and Design of Computer Programs
-
- Python introduction with a focus on scientific computing
In this course we use Google Colab to execute notebooks. Notebooks are text files allowing the combination of Text, Code and the output of code. Colab offers an extended set of pre-installed tools. See the tutorial series.
Anaconda offers for your private computer an extended installations, including most tools you will ever need for Python. Use the Anaconda Navigator to launch applications.
