Adam Hayward
Take your R programming skills to the next level with this short course on the tidyverse!
Do you feel you have a basic knowledge of R but don’t yet have the tools or confidence to tackle everyday data science problems? Still turning to MS Excel to manipulate, format and visualise data? Then look no further.
Aimed at beginners who have a basic understanding of R, this course introduces some of the core tools of the tidyverse. It covers a step–by–step guide to the most important functions offered by some of the tidyverse packages, providing students with a comprehensive toolkit to address common data science tasks.
The course covers the following areas:
1) Data manipulation with dplyr (filtering, sorting, creating new variables, summarising data, joining data sets, selecting columns/rows)
2) Data reformatting with tidyr (gathering variables, spreading out variables, separating data in cells)
3) Data visualisation with ggplot2 (scatterplots, boxplots, bar charts, line charts, panels)
4) Linking code efficiently using the magrittr forward pipe operator
Instructor Details
Courses : 1
Specification: Efficient R Programming with the Tidyverse
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6 reviews for Efficient R Programming with the Tidyverse
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| Price | $9.99 |
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| Provider | |
| Duration | 2.5 hours |
| Year | 2020 |
| Level | Beginner |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$9.99
Sylvia Rubio –
A very nice course. Professional style and well structured. Functions for dplyr and tidyr are explained clearly with practical applications. The ggplot2 module is excellent provides a lot of tools to visualise data. Very happy for the price.
Charlene Carayol –
Excellent course overall. The instructor is very clear and the examples help to demonstrate the concepts. The content is relevant to typical tasks I would want to start doing in R instead of MS excel. One of the best courses I ve taken in R and definitely worth the money. Highly recommend.
Celine Otondo –
Amazing course! Just the right level for me, not absolute basic but still basic enough for those new to R. The instructor focuses on practical applications of R, which I m so grateful for. It s a great stepping stone for me to move into more intermediate/advanced courses.
Jamie Copeland –
Superb course. Content really clear and very relevant to practical data science problems. I ve learnt loads and it s really helped clear up a lot of confusion I had with R. The instructor obviously knows what he s doing as he explains everything really well and has focused the course on stuff people can actually use. Totally awesome! Thanks Adam
Brandon Dewey –
Quick course, concise, accurate description. Just what I was looking for before I start learning machine learning algorithms.
Franco A –
Crystal clear explanations combined with beautiful slides and laser focused on the key elements of tidyverse. Big thank you Adam!