- Data Analysis
- Data Manipulation
- Predictive Modeling
- Exploratory Data Analysis
- Data Wrangling
- Data Science
- R Programming
- Data Visualization
- Regression Analysis
- Feature Engineering
- Statistical Analysis
- Statistical Modeling
Data Analysis with R
Completed by Henry Muhumuza
July 11, 2023
16 hours (approximately)
Henry Muhumuza '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
