Data Analysis with R
Completed by MarÃa RuÃz Rubio
June 29, 2025
15 hours (approximately)
MarÃa RuÃz Rubio'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: Predictive Modeling
- Category: Model Training
- Category: Tidyverse (R Package)
- Category: Data Manipulation
- Category: Correlation Analysis
- Category: Plot (Graphics)
- Category: R (Software)
- Category: Data Visualization
- Category: Exploratory Data Analysis
- Category: Statistical Visualization
- Category: Regression Analysis
- Category: Statistical Methods
