R Programming

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Publishing Visualizations in R with Shiny and flexdashboard (Coursera) Coursera
Johns Hopkins University

Publishing Visualizations in R with Shiny and flexdashboard (Coursera)

Dive into the world of interactive data visualization and dashboarding with our 'Publishing Visualizations in R with Shiny and flexdashboard' course. This specialized training builds upon your existing ggplot2 knowledge, equipping you with advanced techniques for creating engaging, interactive visual stories using Shiny and flexible dashboards. Perfect for data analysts, scientists, and professionals who want to make their data more accessible and impactful.

Sep 21st 2026
3 Weeks
Introduction to the Tidyverse (Coursera) Coursera
Johns Hopkins University

Introduction to the Tidyverse (Coursera)

Dive into the world of data science with 'Introduction to the Tidyverse' on Coursera. This course will teach you how to use a suite of powerful tools designed for efficient data analysis and visualization. From understanding tidy data principles to mastering the project life cycle, this course is perfect for beginners looking to start their journey in data science.

Sep 21st 2026
4 Weeks
Importing Data in the Tidyverse (Coursera) Coursera
Johns Hopkins University

Importing Data in the Tidyverse (Coursera)

Discover the essential skills needed to transform raw datasets into a unified format ready for statistical analysis with this comprehensive course on importing data in the Tidyverse. Whether you're working with diverse data sources or need to prepare data for complex analyses, this course will equip you with the tools and techniques necessary to streamline your workflow.

Sep 21st 2026
4 Weeks
Wrangling Data in the Tidyverse (Coursera) Coursera
Johns Hopkins University

Wrangling Data in the Tidyverse (Coursera)

Discover how to tame unruly data sets and unlock their potential with 'Wrangling Data in the Tidyverse' on Coursera. This course will teach you to transform disorganized datasets into tidy formats using R's versatile Tidyverse ecosystem, enabling effective visualization and machine learning applications.

Sep 21st 2026
4 Weeks
Modeling Data in the Tidyverse (Coursera) Coursera
Johns Hopkins University

Modeling Data in the Tidyverse (Coursera)

Develop a deep understanding of modeling and analysis techniques essential for extracting valuable insights from your data. This course focuses on the powerful Tidyverse tools that will help you ask the right questions of your data and apply appropriate modeling approaches to uncover hidden patterns and relationships.

Sep 21st 2026
5-12 Weeks
Using R for Regression and Machine Learning in Investment (Coursera) Coursera
Sungkyunkwan University - SKKU

Using R for Regression and Machine Learning in Investment (Coursera)

Dive into the world of data-driven investment strategies with 'Using R for Regression and Machine Learning in Investment'. Learn to apply regression techniques like logistic, Lasso, and Ridge regressions using R programming. This course is designed for aspiring and professional investors who want to leverage machine learning methodologies to enhance their investment analysis skills.

Sep 21st 2026
2 Weeks
R Programming and Tidyverse Capstone Project (Coursera) Coursera
University of Colorado Boulder

R Programming and Tidyverse Capstone Project (Coursera)

In this final course of the 'Expressway to Data Science: R Programming and Tidyverse' specialization, you will apply your skills in R and the tidyverse by conducting an analysis on COVID-19 data. This practical application allows you to demonstrate your proficiency with real-world datasets that have impacted global health.

Sep 21st 2026
3 Weeks
Fundamental Skills in Bioinformatics (Coursera) Coursera
King Abdullah University of Science and Technology (KAUST)

Fundamental Skills in Bioinformatics (Coursera)

Discover the essential skills needed to navigate the world of bioinformatics with our online course designed for beginners. Gain a practical overview of key concepts and develop both quantitative and programming abilities crucial for analyzing biological data effectively.

Sep 21st 2026
4 Weeks