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Importing and Cleaning Data in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Importing and Cleaning Data in R course offered by Data Camp you will gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.

Overview

Context

Unlock the full potential of your data by learning how to efficiently import and clean datasets in R. 

In this Importing and Cleaning Data in R course offered by Data Camp, you'll gain the essential skills needed to handle real-world data challenges, from importing data in various formats to transforming messy datasets into a tidy format ready for analysis.

Learn to Import Data from Any Source

Become proficient in importing data into R from a wide range of sources, including CSV and text files, Excel spreadsheets, databases, and web scraping. Through hands-on exercises, you'll master the use of powerful packages like readxl and data.table, enabling you to efficiently bring data into your R environment for analysis and manipulation.

Develop Effective Data Cleaning Techniques

Clean data is the foundation of reliable insights. In this Track, you'll learn to tackle common data quality issues such as:

  • Handling missing values
  • Converting data types
  • Standardizing inconsistent data entries
  • Reshaping datasets for optimal analysis

Discover best practices and efficient workflows to clean your data accurately and efficiently, saving you time and frustration.

Programme Structure

Courses include:

  • Intermediate Importing Data in R 
  • Cleaning Data in R 
  • Reshaping Data with tidyr 
  • Bonus: Exploring the NYC Airbnb Market 
  • Bonus: Importing & Cleaning Data with R

Key information

Duration

  • Part-time
    • 2 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • There are no prerequisites for this track
  • This Track is suitable for beginners. The courses are designed to introduce the concepts from the ground up and gradually build your skills, so no prior knowledge is required.
  • This Track is especially useful for those interested in data science, data engineering, data analytics and other related jobs.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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