Hands-on with Pandas

The students will learn what is DataScience, how to do data processing using Pandas (with Python)

Python language

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

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

series Support for calendar ( Business Days, Holidays)

series Support for resampling, indexing series data

Hands-on / Practical with various datasets like: stock /share data, weather data etc

Bner Python developers, Data Science students, Students who have some exposure to data analytics

This course is meant typically for those who want to learn Data Science and who have some exposure to python programming, like freshers.




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