- Statistical Analysis
- Machine Learning Methods
- Statistical Modeling
- Feature Engineering
- Data Wrangling
- Predictive Analytics
- Exploratory Data Analysis
- Data Analysis
- Regression Analysis
- Data Science
- Data Manipulation
- Predictive Modeling
Data Analysis with R
Completed by Kathryn Chen
August 29, 2021
16 hours (approximately)
Kathryn Chen'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
