- From www.coursera.org
Data Analysis with R Programming
Course
en
English
37 h
This content is rated 0 out of 5
- Self-paced
- Free Access
- Free certificate
- 5 Sequences
- Introductive Level
Course details
Syllabus
WEEK 1: Programming and data analytics
R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.
WEEK 2: Programming using RStudio
Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.
WEEK 3: Working with data in R
The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.
WEEK 4: More about visualizations, aesthetics, and annotations
R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.
WEEK 5: Documentation and reports
When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.
Prerequisite
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Instructors
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Editor
Google is a company founded on 4 September 1998 in the Google garage in Silicon Valley, California, by Larry Page and Sergueï Brin, creators of the Google search engine.
The company made its name primarily through the monopolistic position of its search engine, which faced competition first from AltaVista and then from Yahoo! and Bing. It has since made a number of acquisitions and developments, and today owns a number of noteworthy software products and websites, including YouTube, the Android operating system for mobile phones, and other services such as Google Earth, Google Maps and Google Play.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.
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