Session Description:

A short session indented on Data Exploration and Analysis to get started with exploring and analyzing data prior to applying the data to build Machine Learning models. Additionally, we will learn about popular tools used to perform such analysis.

Setup:

Because this is an abbreviated session, attendees MUST install Anaconda software https://www.anaconda.com/ and have a basic understanding of using Jupyter Notebook.

Course Code/Duration:

BDT74 / 90 Minutes

Learning Objectives:

Use Pandas library to explore data and learn how to do following:

• Reading data from various file formats such as Comma Separated Values (.csv), JavaScript object notation (.JSON)
• Look for data values missing in the dataset
• Understand the statistics in the dataset
• Replace missing values in the dataset”