Data Science with Python

⚠️ WORK IN PROGRESS! ⚠️

Welcome to my Data Science with Python course!

You can find all the Jupyter notebook on my Github page here.

Please, if you find any typos or mistakes, open a new issue. Or even better, fork the repo and submit a pull request. I am happy to share my work and I am even happier if it can be useful.

Content

1. Data Structures
   • Lists
   • Tuples
   • Sets
   • Dictionaries
   • Numpy arrays
   • Pandas DataFrames
   • Pyspark DataFrames
2. Data Exploration
   • Import, export data
   • Descriprives and summary statistics
   • Pivot tables and aggregation
3. Data Types
   • Numerical data
   • String data
   • Time data
   • Missing data
4. Data Wrangling
   • Rows: sorting, indexing, ….
   • Columns: renaming, ordering, ….
   • Collapse and aggregate
   • Reshape
   • Concatenate and merge
5. Plotting
   • Distributions
   • Time Series
   • Correlations
   • Regression
   • Geographical data
6. Machine Learning Pipeline
   • Data exploration
   • Encoding and normalization
   • Missing values
   • Weighting
   • Prediction
   • Cross-validation
7. Web Scraping
   • Pandas
   • APIs
   • Static Webscraping
   • Dynamic Webscraping
8. TBD
   • What is missing? Let me know!

Contacts

All feedback is greatly appreciated!