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R Programming

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessar...
4.5
4.5/5
(21,046 reviews)
621,103 students
Created by

8.9

CourseMarks Score®

N/A

Freshness

N/A

Feedback

8.7

Content

Platform: Coursera
Price: $0
Video: 5h 23m
Language: English

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Detailed Analysis

CourseMarks Score®

8.9 / 10

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

Freshness Score

Course content can become outdated quite quickly.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.

Student Feedback

We analyzed factors such as the rating (4.5/5) 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.

Content Score

8.7 / 10
Video Score: 8.4 / 10
The course includes 5h 23m 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.
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:

18 articles.
0 resource.
0 exercise.
22 tests or quizzes.

Table of contents

Description

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

You will learn

Requirements

Basic knowledge of Data Analysis is required to start this course, as this is an intermediate level course.

This course is for

This course was made for intermediate-level students.

How much does the R Programming course cost? Is it worth it?

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.

Does the R Programming course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS 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 is the instructor? Is Roger D. Peng, PhD a SCAM or a TRUSTED instructor?

Roger D. Peng, PhD has created 35 courses that got 1,571 reviews which are generally positive. Roger D. Peng, PhD has taught 1337275 students and received a 4.41 average review out of 1,571 reviews. Depending on the information available, Roger D. Peng, PhD is a TRUSTED instructor.
Bloomberg School of Public Health
Johns Hopkins University
Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the
Simply Statistics blog. He received his Ph.D. in Statistics from the University of California, Los Angeles and is a prominent researcher in the areas of air pollution and health risk assessment and statistical methods for environmental data. He is the recipient of the 2016 Mortimer Spiegelman Award from the American Public Health Association, which honors a statistician who has made outstanding contributions to health statistics. He created the course Statistical Programming at Johns Hopkins as a way to introduce students to the computational tools for data analysis. Dr. Peng is also a national leader in the area of methods and standards for reproducible research and is the Reproducible Research editor for the journal
Biostatistics. His research is highly interdisciplinary and his work has been published in major substantive and statistical journals, including the
Journal of the American Medical Association and the
Journal of the Royal Statistical Society. Dr. Peng is the author of more than a dozen software packages implementing statistical methods for environmental studies, methods for reproducible research, and data distribution tools. He has also given workshops, tutorials, and short courses in statistical computing and data analysis.

8.9

CourseMarks Score®

N/A

Freshness

N/A

Feedback

8.7

Content

Platform: Coursera
Price: $0
Video: 5h 23m
Language: English

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