Embark on a transformative journey into R programming and data manipulation with this comprehensive course. It starts with an in-depth overview of R and RStudio, covering installation, configuration, and key features. You'll master navigating RStudio, managing projects, and handling diverse file formats for efficient workflows.
Foundations of R Programming and Basic Data Manipulation
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Foundations of R Programming and Basic Data Manipulation
This course is part of R Ultimate 2023 - R for Data Science and Machine Learning Specialization
Instructor: Packt - Course Instructors
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Recall the steps to install and configure R and RStudio
Explain how to manipulate various data types and structures in R
Use operators, loops, and functions to write efficient R code
Assess advanced data manipulation techniques such as piping, filtering, aggregation, reshaping, and joining datasets
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
September 2024
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the R Ultimate 2023 - R for Data Science and Machine Learning 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 7 modules in this course
In this module, we will embark on a guided tour of the course layout, covering essential tools and resources like R, RStudio, and course code access. We will also establish our project setup and understand various file formats, culminating in dynamic documentation using Rmarkdown.
What's included
6 videos2 readings
In this module, we will delve into fundamental data types and structures in R. From basic types like integers and logical values to complex structures like matrices, arrays, and data frames, we will explore and manipulate these elements to build a solid data science foundation.
What's included
8 videos
In this module, we will explore the core programming constructs in R. We will cover operators, loops, and functions, providing both theoretical understanding and practical experience through labs, enabling us to automate tasks and write efficient code.
What's included
6 videos1 assignment
In this module, we will learn to handle data import and export processes in R. From fetching data from diverse origins to saving and sharing results, we will also explore web scraping techniques to extract valuable information from online sources.
What's included
4 videos
In this module, we will master essential data manipulation techniques in R. We will learn to construct efficient data pipelines, filter data subsets, aggregate large datasets, and reshape data structures. Labs will reinforce our practical skills through real-world challenges.
What's included
11 videos1 assignment
In this module, we will explore data visualization techniques using R. From static plots with ggplot2 to interactive visualizations with plotly and leaflet, we will learn to communicate data insights effectively. Practical labs will enhance our skills in creating compelling visual narratives.
What's included
9 videos
In this module, we will tackle advanced data manipulation techniques. We will learn to detect and manage outliers and missing data, ensuring robust analyses. Additionally, we will explore regular expressions for powerful text data manipulation, enhancing our data processing capabilities.
What's included
8 videos1 reading2 assignments
Instructor
Offered by
Recommended if you're interested in Data Analysis
UiPath
Johns Hopkins University
Vanderbilt University
University of Washington
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.