Web scraping: gathering any data ,any where.
Data cleaning: dealing whit NaN, null, and corrupted data types.
Data analysis and statistics.
Machine learning: prediction and classification.
Deep learning models: cnn, ann, rnn.
Data visualization: with many different ways.
Creating usable spreadsheets for results.