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Modern Applied Data Analysis (MADA)
This website contains almost all the content of an online graduate level course taught by Andreas Handel at the University of Georgia. Most materials are hosted here, some are on external sites and either linked or embedded from here. The course is currently running. -
R for Data Science (2e) by Hadley Wickham & Garret Grolemund
This is the website for the work-in-progress 2nd edition of “R for Data Science” -
Hands-On Machine Learning with R by Bradley Boehmke & Brandon Greenwell, 2020-02-01
Alternative website here. -
Introductory predictive analytics and machine learning in education and healthcare.
This textbook accompanies the course HE-930—Statistics/Predictive Analytics for Health Professions Education — in the PhD in HPEd program at MGH Institute of Health Professions. -
Responsible applied statistics in R for behavioral and health data
This textbook accompanies the course HE-902—Advanced Statistical Modeling for Health Professions Education — in the PhD in HPEd program at MGH Institute of Health Professions. -
Tidy Modeling with R by Max Kuhn & Julia Silge
This book is a guide to using a collection of software in the R programming language for model building called tidymodels. -
STAT 545 - Data wrangling, exploration, and analysis with R by Jenny Bryan
This site is about everything that comes up during data analysis except for statistical modelling and inference. -
NTRES 6100 - Collaborative and Reproducible Data Science in R, Cornell University, Spring 2023
This course introduces a series of practical tools that enable researchers to spend less time wrestling with software or repeating error-prone manual data processing and more time getting research done in efficient and transparent ways that facilitate collaboration and reproducibility. -
Exploring, Visualizing, and Modeling Big Data with R by Okan Bulut & Christopher Desjardins
Working with BIG DATA requires a particular suite of data analytics tools and advanced techniques, such as machine learning (ML). Many of these tools are readily and freely available in R. This full-day session will provide participants with a hands-on training on how to use data analytics tools and machine learning methods available in R to explore, visualize, and model big data. -
UC Business Analytics R Programming Guide by Bradley Boehmke, University of Cincinnati
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Welcome to Statistics Online Support (SOS) by The University of Texas at Austin
Do you want to conduct an inferential test or do you want to provide descriptive statistics? -
Applied Statistics with R by David Dalpiaz
This book was originally (and currently) designed for use with STAT 420, Methods of Applied Statistics, at the University of Illinois Urbana-Champaign. -
Data Science in Education Using R by Isabella C. Velásquez and others
In this book, the six steps involved in the process of data science from Wickham & Grolemund are used, see Chapter 3.2 - Defining The Process of Data Science. These are:- Importing data;
- Tidying data;
- Transforming data;
- Visualizing data;
- Modeling data;
- Communicating results.
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Data Science Summer School 2022, Hertie School Data Science Lab
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Data Science Summer School 2021, Hertie School Data Science Lab
- Data Visualization with R, Richard Traunmüller, professor of political science at the University of Mannheim
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Graphic Design with ggplot2 - How to Create Engaging and Complex Visualizations in R, an rstudio::conf(2022) 2-Day Workshop by Cédric Scherer, July 25 and 26, 2022
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Getting Started with Quarto, an rstudio::conf 2022 2-Day Workshop by Tom Mock, July 25 and 26, 2022
You can find the workshop video here. -
Building a Blog with Quarto by Isabella Velásquez, August 30 2022
You can find the workshop video here. -
Anything is Plotsible - Exploring Data Visualizations in R by Tanya Shapiro, February 2023
You can find Github repository of the workshop here
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Data Visualization - Use R, ggplot2, and the principles of graphic design to create beautiful and truthful visualizations of data
PMAP 8921 • Summer 2022, Andrew Young School of Policy Studies, Georgia State University
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Rayshader Tutorial — Florida Population Density, by @MrPecners
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Geocomputation with R, a book on geographic data analysis, visualization and modeling
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Spatial data analysis projects, repo by Matt Malishev
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Milos Makes Maps YouTube Channel, by Milos Popovic
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Google Cloud Public Datasets allow data analysts access to high-demand public datasets, and make it easy to uncover insights in the cloud.
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Dataset Search can help you find available datasets online with keyword searches.
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Kaggle has an Open Data search function that can help you find datasets to practice with.
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BigQuery hosts 150+ public datasets you can access and use.
- Global Health Observatory data: You can search for datasets from this page or explore featured data collections from the World Health Organization.
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National Climatic Data Center: The NCDC Quick Links page has a selection of datasets you can explore.
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NOAA Public Dataset Gallery: The NOAA Public Dataset Gallery contains a searchable collection of public datasets.
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UNICEF State of the World’s Children: This dataset from UNICEF includes a collection of tables that can be downloaded.
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CPS Labor Force Statistics: This page contains links to several available datasets that you can explore.
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Descriptive statistics and data visualisation. An introduction to statistics and working with data by @gregmartin, April 01 2021
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R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot by @gregmartin
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Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more by @gregmartin