Data Science with R

This program focuses on applying Data Science techniques using the R programming language. It is designed for learners who want to perform statistical analysis, data visualization, and predictive modeling using R. The program emphasizes practical implementation of data science workflows using R-based tools and libraries.

Introduction to R for Data Science

• Overview of R programming language

• Setting up R environment and tools

• Basic syntax and data structures

• Working with RStudio

• Introduction to data science workflow in R

Data Manipulation in R

• Importing and exporting datasets

• Data cleaning and transformation

• Handling missing values

• Working with data frames

• Data wrangling using R packages

Data Visualization in R

• Creating charts and graphs

• Understanding ggplot2 basics

• Visualizing trends and patterns

• Customizing visual outputs

• Storytelling with data

Statistical Analysis with R

• Descriptive and inferential statistics

• Correlation and regression analysis

• Hypothesis testing basics

• Probability concepts in data analysis

• Interpreting statistical results

Predictive Modeling in R

• Introduction to predictive analytics

• Building simple prediction models

• Model evaluation techniques

• Improving model accuracy

• Real-world data science applications