- Tidyverse (R Package)
- Data Analysis
- Box Plots
- Data Manipulation
- Supervised Learning
- Predictive Analytics
- Regression Analysis
- Correlation Analysis
- Data Cleansing
- Exploratory Data Analysis
- Data Science
- Statistical Modeling
Data Analysis with R
Completed by Giulio Fantuzzi
April 26, 2023
16 hours (approximately)
Giulio Fantuzzi'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
