Python for Data Science I: Introduction to Pandas

About this workshop

In the first of this two-part workshop series, we will learn how to use Pandas (a Python dataframe) for handling data. From reading and writing data to carrying out common dataframe manipulations, this workshop will get you up and running with a powerful tool for data analysis.

There will also be a short session towards the end of the workshop on how to convert Pandas dataframe to numpy arrays, which will make the data accessible to various Python machine learning packages like scikitlearn.

Keep learning! Sign up for Python for Data Science II here.

Takeaways

• Learn how to read and write data across different formats using Pandas
• Learn how to do common data manipulation, filtering and analysis tasks with Pandas
• Learn how to set up data for doing machine learning using Python scikitlearn

Prereqs & Preparation

• Workshop participants are expected to have working knowledge of a spreadsheet program such as MS Excel.
  
• Open to beginners but some exposure to Python programming is strongly recommended.
• Please make sure that you have Anaconda installed in your laptop (https://www.continuum.io/downloads) with Python 3.x (e.g. Python 3.5).