- 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 Bhaskar Reddy Ganta
April 16, 2024
16 hours (approximately)
Bhaskar Reddy Ganta'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
