Thread by @stephaniehicks

Interested to learn about #tidyverse?

Happy to share that @JHUDataScience just released a 5 course Specialization on @Coursera:

Tidyverse Skills for Data Science in R! 🎉

coursera.org/specialization…

#rstats #dataviz #datascience #statistics @jhubiostat @JohnsHopkinsSPH

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First, I wrote a blogpost giving a few highlights about the Specialization, what someone will learn, and a bit about the instructors who built the series: @mirnas22 @Shannon_E_Ellis @rdpeng and me! 👩‍🏫👨‍🏫

stephaniehicks.com/blog/tidyverse…

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The first course, Introduction to the #Tidyverse, begins with what are "tidy" data, how this helps data organization, how non-tidy can be transformed to tidy data, the data science project life cycle, and an overview of the #tidyverse ecosystem!

coursera.org/learn/tidyverse

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Next: Importing Data in the #Tidyverse

We demonstrate importing common data formats into R including delimited files, JSON, XML, spreadsheets, relational databases, and data from web, such as web scraping and web APIs!

coursera.org/learn/tidyvers…

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Next: Wrangling Data in the #Tidyverse

We cover how to convert btw wide & long formats, wrangling diff data types, regular expressions, basic exploratory data analysis! --> makes your projects more efficient, reproducible, understandable!

coursera.org/learn/tidyvers…

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Next: Visualizing Data in the #Tidyverse

Using #ggplot2 and other great packages, we show how to construct and make different types of plots to make incredible graphics that are highly effective to communicate your results to others.

coursera.org/learn/tidyvers…

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Last (but not least): Modeling Data in the #Tidyverse

To make decisions, build effective models, or detect interesting patterns, we explore diff type of Qs you can ask of data, and present various modeling, #machinelearning approaches w/ #tidyverse

coursera.org/learn/tidyvers…

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We also have written a corresponding online book via #bookdown that contains all the content if you want to explore the content in a book format

jhudatascience.org/tidyversecourse

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One really unique aspect of this project is that we incorporated real-world data analysis examples from the Open Case Studies project (opencasestudies.org) to demonstrate these #tidyverse tools!

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All of the artwork and course icons were designed by the amazing Jessica Crowell (cinematographer, videographer, editor, writer and more!) from the @JHUDataScience @jhubiostat!

More info about Jessica ✅✅✅ --> jhudatascience.org/people.html

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Also, @IraGooding from the Open Education Lab and Center for Teaching & Learning @JohnsHopkinsSPH was instrumental in helping us see this to completion!

Thank you Ira! 🙏

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We also owe a great deal of gratitude and thanks to @jtleek and **the entire team** at Cloud-Based Data Science (CBDS) who were incredibly generous with their content, which we partly adapted here!

Check out CBDS here ✅✅✅--> clouddatascience.org

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Thank you again to everyone who helped make this happen!

Want to know more about the @Coursera Specialization? You can find out more information here:

coursera.org/specialization…

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