This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.
Introduction to Probability and Data with R
Ends in 5 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.
Introduction to Probability and Data with R
This course is part of Data Analysis with R Specialization
Instructor: Mine Çetinkaya-Rundel
310,511 already enrolled
Included with Learn more
Ask Coursera
Gain insight into a topic and learn the fundamentals.
5,892 reviews
Beginner level
No prior experience required
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 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 Data Analysis with R 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 8 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
(827 ratings)Offered by
Explore more from Data Analysis
Status: Free TrialUniversity of Colorado Boulder
Status: PreviewO.P. Jindal Global University
Status: Free Trial
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."
Learner reviews
- 5 stars
78.08%
- 4 stars
17.18%
- 3 stars
2.56%
- 2 stars
0.72%
- 1 star
1.44%
Showing 3 of 5892
RM
Reviewed on Jan 15, 2019
This was an excellent course, I found it easy to follow and I learned a lot that pertains directly to my career. I look forward to the other courses in the Statistics with R certificate
BB
Reviewed on Sep 3, 2019
Very clearly explained and the pace is awesome! I really enjoy each deadline and l can already see how it is impacting my day to day work and life. I ook forward to completing the course! Thank you.
SN
Reviewed on Mar 11, 2019
This course was quite helpful for someone who like me who doesn't have a strong understanding of statistics. The highlight of the course was learning a new data analysis tool - R and RStudio.
