Data Analysis with Python 2024-2025

This is a course offered as MOOC by the University of Helsinki.

Content

Libraries

• Numpy
• Pandas
• Scikit-learn
• (Matplotlib)

Interactive Study Materials

• Jupyter notebook

Automatic Checking of Exercises

• Test My Code framework

Basics of Python Language

Numpy

• Creation and indexing of arrays
• Array concatenation and splitting
• Fast computation using universal functions
• Summary statistics
• Broadcasting
• Matrix operations and basic linear algebra

Pandas

• Creating and indexing of Series and DataFrames
• Handling missing data
• Concatenation of Series and DataFrames
• Grouping and aggregating
• Merging DataFrames

Gentle Introduction to Machine Learning through Scikit-learn Library

• Linear regression
• Naive Bayes classification
• Principal component analysis
• k-means clustering

Project

• Applying the learned skills on an application field