- Statistical Analysis
- Correlation Analysis
- Exploratory Data Analysis
- Data Science
- Data Analysis
- Predictive Modeling
- Statistical Modeling
- Data Cleansing
- Box Plots
- R Programming
- Regression Analysis
- Model Evaluation
Data Analysis with R
Completed by Yeggoni Vinod Kumar
August 10, 2023
15 hours (approximately)
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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
