Excel sheets have become the de facto format for analysing and sharing data insights. But it is not efficient for handling data that is either huge or partial or both. This is where Pandas comes to the rescue. Pandas is a very powerful and highly optimised Python library. It is used for cleaning and analysing datasets. Having a working knowledge of Pandas helps any data analysts to quickly gain insights from a large dataset, and obtain a clean, portable subset of data to do in-depth analysis on.

By the end of this session, participants will have a working knowledge of Pandas. Beginner level knowledge of Python will be sufficient to get you started with Pandas.

Topics covered:

• Why we need Pandas (5 Mins)

• Creating a data frame (5 mins)

• Subsetting a data frame. (10 mins)

• Merging data frames (10 mins )

• Perform basic statistical operations (10 mins)

• Performing split-apply-combine operations (20 mins)

• Exercise the knowledge on a sample dataset + basic visualisation (30 mins)

Prerequisite Installation: Matplotlib, Pandas and Numpy.

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