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R: Code, Import, Transform Data

This course is part of Market Research Statistical Analysis & Data Visualization Specialization

Instructor: LearningMate

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Write basic R scripts to import and transform data from delimited files by selecting and renaming columns for analysis.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Market Research Statistical Analysis & Data Visualization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

This foundational course is your entry point into the world of data analysis with R. Designed for aspiring market research analysts and data professionals, this course teaches you how to write your first R scripts to take control of your data. You'll move from understanding core R syntax like variables, vectors, and data frames to applying that knowledge in practical, hands-on scenarios.

You will learn how to import data from common file types like CSVs and perform the essential first steps of any analysis: cleaning and transformation. Through a series of focused videos, readings, and hands-on learnings, you'll master how to select the data you need and rename columns for clarity and consistency. By the end, you won't just understand the code; you'll have written a script that prepares a raw dataset for analysis, a fundamental skill that underpins real-world projects at companies like the BBC and the Financial Times. This course provides the critical building blocks for a career in data.

Module details

This introductory module provides the essential building blocks for working in R. You'll explore why a clear, consistent syntax is critical for reproducible data analysis, using examples from leading data journalism teams. You will learn to create the core components you'll use in every R project: variables, vectors, and data frames. Through hands-on practice, you'll write your first lines of R code and solidify your understanding of these fundamental concepts.

What's included

2 videos1 reading2 assignments

In this module, you will apply your knowledge of R syntax to perform one of the most common tasks in data analysis: importing and cleaning a dataset. Drawing on examples from Google Cloud's use of R with BigQuery, you'll see why this first step is so critical. You will learn to use read.csv() to load data into R and then apply functions to select and rename columns, preparing the data for analysis. The module culminates in a final project where you will write a complete script to clean a real-world dataset.