Data Analysis with R
Completed by Zeeshan Maniyar
November 29, 2023
15 hours (approximately)
Zeeshan Maniyar'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
- Category: Box Plots
- Category: Data Analysis
- Category: Statistical Visualization
- Category: Data Transformation
- Category: Model Evaluation
- Category: Exploratory Data Analysis
- Category: Predictive Modeling
- Category: R (Software)
- Category: Tidyverse (R Package)
- Category: Data Wrangling
- Category: Data Visualization
- Category: R Programming
