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Introduction to Probability and Data with R

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 me...
4.7
4.7/5
(4,875 reviews)
226,764 students
Created by

8.8

Classbaze Grade®

N/A

Freshness

8.5

Popularity

8.6

Material

Introduction to Probability and Data with R
Platform: Coursera
Video: 3h 45m
Language: English

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Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

8.6 / 10
Video Score: 8.1 / 10
The course includes 3h 45m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 7.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

20 articles.
0 resource.
0 exercise.
8 tests or quizzes.

In this page

About the course

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.

What can you learn from this course?

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Introduction to Probability and Data with R ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Introduction to Probability and Data with R course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Mine Çetinkaya-Rundel?

Mine Çetinkaya-Rundel has created 5 courses that got 476 reviews which are generally positive. Mine Çetinkaya-Rundel has taught 309,013 students and received a 4.86 average review out of 476 reviews. Depending on the information available, we think that Mine Çetinkaya-Rundel is an instructor that you can trust.
Department of Statistical Science
Duke University
Mine Çetinkaya-Rundel is an Assistant Professor of the Practice at the
Department of Statistical Science at Duke University. She received her Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University’s Stern School of Business.

Dr. Çetinkaya-Rundel is primarily interested in innovative approaches to statistics pedagogy. Some of her recent work focuses on developing student-centered learning tools for introductory statistics courses, teaching computation at the introductory statistics level with an emphasis on reproducibility, and exploring the gender gap in self-efficacy in STEM fields. Her research interests also include spatial modeling of survey, public health, and environmental data. She is a co-author of
OpenIntro Statistics and a contributing member of the
OpenIntro project, whose mission is to make educational products that are open-licensed, transparent, and help lower barriers to education. She is also a co-editor of the
Citizen Statistician blog and a contributor to the
Taking a Chance in the Classroom column in
Chance Magazine.

8.8

Classbaze Grade®

N/A

Freshness

8.5

Popularity

8.6

Material

Platform: Coursera
Video: 3h 45m
Language: English

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