Data Analysis with R Programming offered by Coursera
- Estd. 2012
Data Analysis with R Programming at Coursera Overview
Duration | 34 hours |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Data Analysis with R Programming at Coursera Highlights
- Earn a certification after completion from Coursera
- Learn from industry experts
- Financial aid available
- Develop job-relevant skills with hands-on projects
Data Analysis with R Programming at Coursera Course details
- Data enthusiasts and aspiring data scientists
- Statisticians and analysts seeking advanced data manipulation skills
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Describe the R programming language and its programming environment
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Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
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Describe the options for generating visualizations in R
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Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content
Data Analysis with R Programming equips you with skills to manipulate, analyze, and visualize data using R
Learn to use R's powerful statistical tools and packages, perform data cleaning, exploratory data analysis, and create insightful visualizations, making data-driven decisions in various domains effectively
Ideal for beginners and professionals alike
Data Analysis with R Programming at Coursera Curriculum
Programming and data analytics
Programming using RStudio
Working with data in R
More about visualizations, aesthetics, and Annotations
Documentation and reports
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Data Analysis with R Programming at Coursera Contact Information
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