This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Understand the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming.
Mungkin Anda Juga Suka
Ask Questions to Make Data-Driven Decisions
Process Data from Dirty to Clean
Data Visualization and Dashboards with Excel and Cognos
Foundations: Data, Data, Everywhere
CoComelon
Learn Colors with CoComelon!
Year1 English
CoComelon & Friends Holiday and Christmas Videos for Kids | Little Baby Bum | Go Buster and More!
Excel Basics for Data Analysis
Databases and SQL for Data Science with Python
Data Science Methodology
CocoMelon | Little Baby Bum | Blippi - Nursery Rhymes & Kids TV Shows
What is Data Science?
Introduction to Data Analytics
Google Data Analytics Capstone: Complete a Case Study
Data Analysis with R Programming
Share Data Through the Art of Visualization
Kids Songs by CoComelon
Alphabet (ABC) Songs by CoComelon
SS 2 Mathematics
Primary 3 Mathematics
Tools for Data Science
Analyze Data to Answer Questions
Prepare Data for Exploration
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Exporting documentation
Exporting documentation
Exporting documentation
Code chunks
Code chunks
Code chunks
Even more document elements
Even more document elements
Even more document elements
Meg: Programming is empowering
