Discover How to Build Web Apps Using R

Unlock the power of R, an open source and free software. In this professional certificate you will learn the basics of R to answer your data questions. After learning how to access R and RStudio, install tidyverse, load data from Excel spreadsheet, work with projects, and use R Markdown files you will move on to using R Shiny. In Introduction to R Shiny you will use your R skills to build and deploy web applications. You will further your data visualization skills through web application deployment, user interaction controls, and basic CSS.

Syllabus

Courses under this program:
Course 1: The Essentials of Data Literacy Online Course

Essentials of Data Literacy Course

Learn fundamental data skills with an online course that teaches you how to analyze, manage, and visualize data. Audit for free or obtain a certificate.

Course 2: RShiny for Everyone

Use R’s Shiny package to create data-driven, interactive web applications.

Courses

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4 weeks, 5-10 hours a week, 5-10 hours a week
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Learn data literacy online using R programming

What is data literacy and why is it important? In this data literacy course, you will learn how to become data literate. This will be accomplished by performing data analysis, data visualization, and communicating with data, using real datasets and examples that are relevant to a variety of audiences and academic disciplines. Data is part of every field, but not everyone has had the opportunity to gain the skills necessary to find the data they need and use it in ways that add to their work. Whether you are in public health, healthcare, banking, law, education, graduate school, or a variety of other fields, there is a way to understand and make use of related data.

Earn your data literacy certificate online

This free four-week course will give you the opportunity to build and leverage your data skills for upward mobility at any stage in your career. It will take you through the six steps of the data lifecycle, using different case studies and contexts, and teach you how to analyze, manage, and communicate data, working in R to achieve basic R programming competencies. R is a statistical programming language that is a great resource to analyze data, manage data, and visualize data.

No experience is required to learn this in-demand skill. By the end of this data literacy training course, you will be able to identify key principles of data analysis, use critical thinking skills, and become proficient in building powerful visuals. If you are interested in building a career in data analytics, first learning these foundational lessons is vital.

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