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- Data
R for Data Analysts
10 Courses
4 Labs
8 Hours
Skill IQ
Master the essentials of R programming tailored for data analysts. This learning path covers data manipulation, visualization, and statistical analysis using powerful R packages like dplyr, ggplot2, and tidyr. Whether you're exploring datasets, creating impactful visuals, or performing advanced analytics, you'll gain practical skills to turn raw data into actionable insights.
Content in this path
R for Data Analysts
Start learning core R skills for data analysis by watching the courses below.
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What You'll Learn
- How to import and wrangle data in R
- How to execute basic queries and filtering in R
- How to summarize and aggregate data in R
- How to perform exploratory data analysis (EDA) in R
- How to clean data for quality assurance in R
- How to visualize data with ggplot2 in R
- How to perform basic statistical analysis in R
- How to create and use custom functions in R
- How to build interactive dashboards with Shiny in R
Prerequisites
- Learners interested in this skill path should have knowledge of core data analysis concepts and exposure to basic programming skills. It can also be helpful, but not required, to have an understanding of fundamental math and statistics concepts.
Related topics
- Data analysis
- Data visualization
- Exploratory Data Analysis
- Statistical Analysis
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