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Importing & Cleaning Data in R

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.
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RImporting & Cleaning Data14 hours6,050

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Track Description

Importing & Cleaning Data in R

Understanding how to prep your data is an essential skill when working in R. It’s what you have to do before you can reveal the insights that matter. In this track, you’ll learn how to import your data from a variety of sources, including .csv, .xls, text files, and more. You'll then gain the skills you'll need to prepare your data for analysis, including converting data types, filling in missing values, and using fuzzy string matching. Throughout the track, you'll have the chance to apply your skills to real-world data such as customer asset portfolios and restaurant reviews. Start this track and gain the data prepping skills you need to clean your dirty data.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to Importing Data in R

    In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

  • Course

    3

    Cleaning Data in R

    Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

  • Project

    bonus

    Exploring Airbnb Market Trends

    Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.

Importing & Cleaning Data in R
4 courses
Track
Complete

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