Data Analysis with R
Completed by ELDON RYAN SABIO LIBO-ON
December 29, 2021
15 hours (approximately)
ELDON RYAN SABIO LIBO-ON'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: Exploratory Data Analysis
- Category: Predictive Modeling
- Category: R (Software)
- Category: Data Transformation
- Category: Statistical Analysis
- Category: Data Manipulation
- Category: R Programming
- Category: Statistical Methods
- Category: Correlation Analysis
- Category: Plot (Graphics)
- Category: Tidyverse (R Package)
