Project Description: In this data project, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this!
The project involves techniques on how to gather and extract data from widely used data formats. We will use techniques to assess the quality of data and explore best practices for data cleaning. We will use MongoDB, covering the essentials of storing data and the MongoDB query language together with exploratory analysis using the MongoDB aggregation framework.
This is a great project for data science positions as well as current business/data analysts looking to add big data to their repertoire, and managers working with data professionals or looking to leverage big data.
Project Code – Click Here to view the Ipython notebook
Project Report –