Skip to main content
Premium project

Customer Analytics: Preparing Data for Modeling

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

Start Project
1 Tasks1,500 XP

Loved by learners at thousands of companies

Project Description

Being able to create predictive models is very cool, but translating fancy models into real business value is a major challenge if the training data isn't stored efficiently.

You've been hired by a major online data science training provider to store their data much more efficiently, so they can create a model that predicts if course enrollees are looking for a job. You'll convert data types, create ordered categories, and filter ordered categorical data so the data is ready for modeling.

Project Tasks

  1. 1
    Convert the data types of each column to store the data more efficiently.


Python Python


Data ManipulationImporting & Cleaning Data
James Chapman HeadshotJames Chapman

Curriculum Manager, DataCamp

James is a Curriculum Manager at DataCamp. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in quasar detection and tutored Math and English. He joined DataCamp as a learner in 2018, and the data skills learned on DataCamp were quickly integrated into his scientific projects. In his spare time, he enjoys restoring retro toys and electronics.

Follow James on LinkedIn
See More

What do other learners have to say?