Python Data Analysis:
1- Data Collecting from different sources.
2- Data Wrangling.
3- Data Cleaning to remove all rubbish and duplicate data.
4- Analysis to raise different business questions.
5- Visualization using matplotlib to answer questions raised
6- Conclusion in a report using Jupyter notebook.