Data Analysis with R
Completed by Zhuoyue Jiang
July 19, 2025
15 hours (approximately)
Zhuoyue Jiang's account is verified. Coursera certifies their successful completion of Data Analysis with R
What you will learn
Prepare data for analysis by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.
Compare and contrast predictive models using simple linear, multiple linear, and polynomial regression methods.
Examine data using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics.
Evaluate a model for overfitting and underfitting conditions and tune its performance using regularization and grid search.
Skills you will gain
- Category: Data Science
- Category: R Programming
- Category: Data Transformation
- Category: Statistical Visualization
- Category: Correlation Analysis
- Category: Data Visualization
- Category: Plot (Graphics)
- Category: R (Software)
- Category: Data Wrangling
- Category: Regression Analysis
- Category: Statistical Methods
- Category: Exploratory Data Analysis
