
R Programming for Statistics and Data Science


R Programming for Statistics and Data Science

Instructor: Packt - Course Instructors
Access provided by Coursera Learning Team
Intermediate level
Recommended experience
Flexible schedule
Learn at your own pace
What you'll learn
Differentiate between data structures (vectors, matrices, data frames)
Conduct hypothesis testing and interpret statistical results
Assess the fit of linear regression models
Visualize data using ggplot2 for insightful presentation
Skills you'll gain
- Data Science
- Statistical Analysis
- Data Visualization
- Exploratory Data Analysis
- R Programming
- Data Manipulation
- Data Transformation
- Programming Principles
- Probability & Statistics
- Statistical Programming
- Data Structures
- Ggplot2
- Tidyverse (R Package)
- Regression Analysis
- Descriptive Statistics
- Data Analysis
- Statistical Modeling
Details to know

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Taught in English
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