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Data-Science-Python

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Notes for a course in data science using Python. Work in progress

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# Data Science with Python

⚠️ **WORK IN PROGRESS!** ⚠️

Welcome to my Data Science with Python course! I am happy to share my work and I am even happier if it can be useful.

## Content

1. [Data Structures](https://matteocourthoud.github.io/course/data-science/01_data_structures/)
   - Lists
   - Tuples
   - Sets
   - Dictionaries
   - Numpy arrays
   - Pandas DataFrames
   - Pyspark DataFrames
1. [Data Exploration](https://matteocourthoud.github.io/course/data-science/02_data_exploration/)
   - Import, export data
   - Descriprives and summary statistics
   - Pivot tables and aggregation
2. [Data Types](https://matteocourthoud.github.io/course/data-science/03_data_types/)
   - Numerical data
   - String data
   - Time data
   - Missing data
3. [Data Wrangling](https://matteocourthoud.github.io/course/data-science/04_data_wrangling/)
   - Rows: sorting, indexing, ....
   - Columns: renaming, ordering, ....
   - Collapse and aggregate
   - Reshape
   - Concatenate and merge
4. [Plotting](https://matteocourthoud.github.io/course/data-science/05_plotting/)
   - Distributions
   - Time Series
   - Correlations
   - Regression
   - Geographical data
5. [Machine Learning Pipeline](https://matteocourthoud.github.io/course/data-science/06_ml_pipeline/)
   - Data exploration
   - Encoding and normalization
   - Missing values
   - Weighting
   - Prediction
   - Cross-validation
6. [Web Scraping](https://matteocourthoud.github.io/course/data-science/07_web_scraping/)
   - Pandas
   - APIs
   - Static Webscraping
   - Dynamic Webscraping
7. TBD
   - What is missing? Let me know!

## Contacts

Please, if you find any typos or mistakes, [open a new issue](https://help.github.com/articles/creating-an-issue/). Or even better, fork the repo and [submit a pull request](https://help.github.com/articles/creating-a-pull-request-from-a-fork/). All feedback is greatly appreciated!

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