Data Analysis with R
Completed by susan wamboi
April 5, 2023
15 hours (approximately)
susan wamboi'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: Statistical Methods
- Category: Statistical Analysis
- Category: Tidyverse (R Package)
- Category: Box Plots
- Category: Regression Analysis
- Category: Data Analysis
- Category: Data Science
- Category: Correlation Analysis
- Category: Plot (Graphics)
- Category: R Programming
- Category: Model Training
- Category: Statistical Visualization
