Content
1. Course Introduction
2. Python ReCap
3. Matrixies and DataFrames
4. Statistics (theory and implementation)
5. Probability Distributions and Variability
6. Relationships Between Variables
7. Data Visualization
Learning objectives
After completing the course, student has knowledge in theory and in practise to use Python Programming Language for Basic Data Analytics and Statistics tasks
Teaching methods
100% online (self-study) course which can be done in own space.
Learning material and recommended literature
On the Viope study platform
Evaluation criteria
Complete 80 % of the programming & quiz exercises. In addition, please write about two page (a4) learning diary about your learning during the course. Once you have completed, please send an e-mail to viopesupport@metropolia.fi. In your e-mail, please include your learning diary and screen capture of your completion from my corner.
Opettaja/Yhteyshenkilö
Virve Prami