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學生對 Codio 提供的 Data Analysis in R with RStudio & Tidyverse 的評價和反饋

課程概述

Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing foundational knowledge of data analysis in R. The modules in this course cover descriptive statistics, importing and wrangling data, and using statistical tests to compare populations and describe relationships. This course presents examples in R using the industry-standard Integrated Development Environment (IDE) RStudio. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context....

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1 - Data Analysis in R with RStudio & Tidyverse 的 5 個評論(共 5 個)

創建者 Maha L A G

2022年1月25日

If you going to take a Biostatistics course, add this course to the list, it is extremely helpful.

創建者 martin d

2022年1月27日

great for beginners

創建者 Camille N

2021年9月12日

Good Course

創建者 Thomas H

2022年4月5日

C​odio is a garbage interface. At first I was impressed, but then I got to the multi-task exercises. The instructions are unclear regardeding what they want you to do. My code is 100% correct. I know this because I am running it in RStudio on my pc and comparing results to what they want. It is the user interface that sucks. What a waste of time. Another strike against Coursera.

T​he ONLY Coursera class I have found to be high quality is Python for Everybody with Dr. Charles Severance.

創建者 Simona M

2022年1月30日

Many bugs, the exercises weren't clear enough.