About this course: This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
Who is this class for: This course is aimed at learners who have some experience programming computers but who are not familiar with the R environment.
Taught by: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by: Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| Basic Info |
Course 1 of 5 in the
Mastering Software Development in R Specialization.
|
| Level | Intermediate |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Can be vastly improved by making it more student friendly and giving more tougher practice exercises to tackle to assignments
Highly recommended for R beginners.
Swirl should be accepting of other answers as well as different snippets of code will produce the same result.
At times this got frustrating and my reason of taking time to complete the course is because I'd leave things in between because of swirl issues.
This goes away and it is a 5-star as a beginner course; it is made beautifully to get us up to speed
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RG
This course was just ok. Much of the information is a screen scrape from a book and peer-evaluation, so you may be better off just getting the book and going through it. The mentors occasionally participated, the authors rarely so,.