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-<a href="https://www.amazon.com/Data-Science-Transform-Visualize-Model/dp/1492097403/ref=sr_1_1?crid=19VLZ2HBNTMG2"><img class="bookCover" src="../images/cover.png" alt="book cover for R for Data Science"></a>
+<a href="http://amzn.to/2aHLAQ1"><img class="bookCover" src="../images/cover.png" alt="book cover for R for Data Science"></a>
 
 <h2 class='noTrickPadding' id='r4ds'>R for data science</h2>
 
-The best place to start learning the tidyverse is [R for Data Science](https://r4ds.hadley.nz/) (R4DS for short), an O'Reilly book written by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund. It's designed to take you from knowing nothing about R or the tidyverse to having all the basic tools of data science at your fingertips. You can read it online for free, or [buy a physical copy](https://www.amazon.com/Data-Science-Transform-Visualize-Model/dp/1492097403/ref=sr_1_1?crid=19VLZ2HBNTMG2). 
+The best place to start learning the tidyverse is [R for Data Science](http://r4ds.had.co.nz) (R4DS for short), an O'Reilly book written by Hadley Wickham and Garrett Grolemund. It's designed to take you from knowing nothing about R or the tidyverse to having all the basic tools of data science at your fingertips. You can read it online for free, or [buy a physical copy](http://amzn.to/2aHLAQ1). 
 
-We highly recommend pairing R4DS with the [Posit cheatsheets](https://posit.co/resources/cheatsheets/). These cheatsheets have been carefully designed to pack a lot of information into a small amount of space. You can keep them handy at your desk and quickly jog your memory when you get stuck. Most of the cheatsheets have been translated into multiple languages.
+We highly recommend pairing R4DS with the [RStudio cheatsheets](https://www.rstudio.com/resources/cheatsheets/). These cheatsheets have been carefully designed to pack a lot of information into a small amount of space. You can keep them handy at your desk and quickly jog your memory when you get stuck. Most of the cheatsheets have been translated into multiple languages.
 
 ## Books
 
 * [Statistical Inference via Data Science: A ModernDive into R and the tidyverse](https://www.moderndive.com/) by
   Chester Ismay and Albert Y. Kim. "Help! I’m new to R and RStudio and I need to learn them! What do I do?" If you're asking yourself this, this book is for you.
 
-* [ggplot2: elegant graphics for data science](https://ggplot2-book.org/) by 
+* [ggplot2: elegant graphics for data science](http://amzn.to/2tYdTqd) by 
   Hadley Wickham. Goes into greater depth into the ggplot2 visualisation 
   system.
 
-* [Solutions and notes for R4DS, 1st Edition](https://jrnold.github.io/r4ds-exercise-solutions/) 
+* [Solutions and notes for R4DS](https://jrnold.github.io/r4ds-exercise-solutions/) 
   by Jeffrey B. Arnold. Work in progress.
 
 * [Data Manipulation in R](http://geni.us/datamanipulationir) by Steph Locke. Covers data manipulation in a tidyverse way.
 
 ## Workshops
 
-  * [Mastering the Tidyverse](https://www.jumpingrivers.com/training/course/data-tidyverse-dplyr-tidyr-lubridate-forcats/) by Jumping Rivers. This course will show you how you can use R to efficiently clean and wrangle your data into a format that’s ready for analysis. You will learn about the Tidyverse, what tidy data really is, and how to practically achieve it with packages such as dplyr, tidyr, lubridate, and forcats.
-  * [Learn R for Data Analysis](https://itsalocke.com/courses/intro-to-r/) by Locke Data. Attend this two day course to get hands-on with the R programming language. Learn how to connect to different data sources, wrangle the data into the shape you need, visualise it, and compile everything into reports.
+  * [Mastering the Tidyverse](https://www.jumpingrivers.com/courses/22_r-tidyverse) by Jumping Rivers. A one day crash course covering tidyverse fundamentals. The course is a mixture of lectures, short exercises and longer tutorial questions. During the day, we'll cover dplyr, tidy data, tibbles, dates/times and string manipulation.
+  * [Introduction to R](https://itsalocke.com/courses/intro-to-r/) by Locke Data. A two day course covering data manipulation and reporting fundamentals using the tidyverse, rmarkdown, and shiny. The course blends lectures, exercises, and practicals over two days to cover the 80% of work that almost everyone needs to do.
 
-## Teaching materials
-
-[Data Science in a Box](https://datasciencebox.org/) contains the complete materials for teaching a semester-long introductory data science course. The “box” contains materials for an undergraduate level introductory data science course, such as slide decks, homework assignments, guided labs, sample exams, a final project assignment, as well as materials for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics. The [website](https://datasciencebox.org/) exposes the source materials that live in a [GitHub repository](https://github.com/rstudio-education/datascience-box) and use datasets from the [dsbox package](https://github.com/tidyverse/dsbox).