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Customer Analytics: Preparing Data for Modeling

BasicSkill Level
4.8+
53 reviews
Updated 11/2023
Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!
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RData Manipulation1 hr1 Task1,500 XP

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Project Description

Customer Analytics: Preparing Data for Modeling

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 more efficiently, so they can create a model that predicts if course enrollees are looking for a job. You'll convert data types, collapse factor levels, and filter categorical data so the data is ready for modeling.

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

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

Don’t just take our word for it

*4.8
from 53 reviews
81%
19%
0%
0%
0%
  • Silvia
    26 seconds ago

  • Tamunoimama
    last week

  • Peter
    last week

  • Adebayo
    2 weeks ago

  • Ashley
    2 weeks ago

  • Auwal
    2 weeks ago

Silvia

Peter

Adebayo

FAQs

Is this project suitable for beginners?

Yes, this project is suitable for beginners.

What is the programming language of this project?

The programming language of this project is R.

Can I add this project to my Data Portfolio?

Yes, once completed, you can add this project to your Data Portfolio.

Do I need to download any software to complete this project?

No, this project can be completed using DataCamp Workspace without the need for any additional software.

What is this project about?

This project involves applying knowledge of data types and categorical data to prepare a big dataset for modeling.

What are the project tasks?

The project tasks include converting the data types of each column to store the data more efficiently.

What level of experience is required for this project?

Basic knowledge of R and data types is recommended for this project.

How long will it take to complete this project?

The estimated completion time for this project is approximately 2 hours.

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