Python and Data Analytics & Statistics (3op)

Osaamistavoitteet

After completing the course, student has knowledge in theory and in practise to use Python Programming Language for Basic Data Analytics and Statistics tasks

Sisältö

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

Arviointikriteeri, hyväksytty/hylätty

Pass/fail
You will receive a passing mark for the course after completing 80% of the assignment + submitting a learning diary. See more detailed instructions about the assessment on the course notice board.