R for Data Science – From Basics to Advanced Applications || edvane

Course Details

Programming
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R for Data Science – From Basics to Advanced Applications

By Yamuna S T
12/Mar/2025
19 Students

Course Description

Data Science is transforming industries, and R is a powerful tool for statistical computing and data analysis. This comprehensive course takes you from basic R programming to advanced machine learning and AI applications. Covering data manipulation, visualization, ML, time series analysis, and model deployment, this course provides hands-on experience to excel in real-world data science projects.

Curriculum Breakdown

Chapter 1: Introduction to Data Science with R

What is Data Science?
Setting Up R & RStudio
Introduction to R Programming
Data Structures – Vectors, Lists, Data Frames

Chapter 2: Data Wrangling & Preprocessing

Data Import, Cleaning, Handling Missing Data
Feature Engineering with dplyr & tidyr
Exploratory Data Analysis (EDA) with ggplot2

Chapter 3: Data Visualization & Insights

Data Visualization with ggplot2
Interactive Dashboards with Plotly & Shiny

Chapter 4: Machine Learning with R

Supervised vs. Unsupervised Learning
ML Models and Algorithms
Hyperparameter Tuning in R

Chapter 5: Advanced Data Science Applications

Time Series Forecasting in R
NLP – Text Mining & Sentiment Analysis
Recommendation Systems

Chapter 6: Real-World Projects & Deployment

End-to-End Data Science Project
Deploying a CARET Machine Learning model as an API with Plumber

Why Take This Course?

✅ Hands-on projects with real datasets
✅ Covers data preprocessing, ML, and deployment
✅ Industry-relevant skills for finance, healthcare, and AI
✅ Boost your career in Data Science & Analytics

📊 Master Data Science with R and start your journey today! 🚀