- Data Visualization
- R Programming
- Predictive Analytics
- Exploratory Data Analysis
- Model Evaluation
- Data Manipulation
- Statistical Modeling
- Data Analysis
- Data Science
- Data Preprocessing
- Data Cleansing
- Feature Engineering
Data Analysis with R
Completed by Aman Saigal
September 1, 2024
16 hours (approximately)
Aman Saigal'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
