- Data Visualization
- Predictive Modeling
- Statistical Modeling
- Feature Engineering
- Data Analysis
- Predictive Analytics
- Data Wrangling
- Exploratory Data Analysis
- R Programming
- Machine Learning Methods
- Statistical Analysis
- Data Science
Data Analysis with R
Completed by Rakibul Hasan Chowdhury
July 18, 2024
16 hours (approximately)
Rakibul Hasan Chowdhury'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
