The following topics are covered:
- What is Data Science
- How to get (real) stock data , how to plot data in Jupyter
- SQL and MySQL interaction using Pandas
- read csv file and do various operations. Stocks data is considered as example
- write csv file and associated operations
- Handling missing data,
- Data filtering / Wrangling using Pandas
- Group by support in Pandas
- Concat support in Pandas
- Merge of Dataframes
- Pivot Table support in Pandas
- Stack / Unstack support in Pandas
- Reshape with Pandas
- Cross Tab with Pandas
- excel support
- Time series Support for calendar ( Business Days, Holidays)
- Time series Support for resampling, indexing time series data
