Please send any comments or feedback to fernando.batista@iscte-iul.pt
- Part 1 - Fundamentals
- Part 2 - Data Analysis
- Part 3 - Data Analysis and Grouping
- Hierarchical Indexing
- Combining Datasets
- Data aggregation and grouping
- Part 4 - Data handling and visualization
- Practical examples
- Practical example - IMBD database
- Practical example - Happiness with Continent dataset
- Statistical Analysis and Machine learning
- Statistical and predictive analysis
- Introduction to Machine Learning: Case study
For additional information about these subjects, please read the book Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas.
- Week 1 - homework exercise
- Week 2 - Exercise 2 - Explore data
- Project Assignment (draft version)*
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