Data Analysis with R – Techtrainity

About Course

Learn how to analyze, visualize, and interpret data using R. This course provides hands-on training in statistical analysis, data manipulation, and visualization techniques to help learners turn data into meaningful insights for real-world decision-making.

The R Programming for Data Analysis course provides hands-on training in using R to analyze, visualize, and interpret data. Designed for beginners and aspiring data analysts, this course focuses on practical skills such as data manipulation, exploratory data analysis, statistical techniques, and data visualization using real-world datasets. Learners will build confidence in working with R and applying analytics to solve real problems.
Understand the fundamentals of R programming
Set up and use R and RStudio efficiently
Import, clean, and prepare datasets for analysis
Perform exploratory data analysis (EDA)
Create professional data visualizations using R
Apply statistical techniques for data analysis
Use popular R packages such as dplyr and ggplot2
Analyze real-world datasets and interpret results
Build reproducible analysis reports

Course Content

Course Introduction & R Overview
This topic introduces learners to the course structure, objectives, and how R is used for data analysis, statistics, and decision-making across industries.

Welcome to the Course
Course Objectives & Learning Outcomes
What Is R and Why Use R for Data Analysis
Real-World Applications of R

Setting Up the R Environment
This topic guides learners through installing and configuring the tools needed to work efficiently with R.

R Basics & Data Types
This topic covers the foundational R concepts and data structures used in analysis.

Data Importing & Exporting
This topic focuses on loading data into R from various sources and exporting results.

Data Cleaning & Preparation
Learners will clean, transform, and prepare data for accurate and reliable analysis.

Exploratory Data Analysis (EDA)
This topic helps learners explore data patterns, trends, and relationships.

Data Visualization with R
Learn how to visually communicate data insights using R.

Statistical Analysis with R
This topic introduces statistical methods and analytical techniques using R.

Working with Time Series & Advanced Data
Explore advanced data types and time-based analysis.

Reporting & Reproducible Analysis
Learn how to document and share analysis results professionally.

Real-World Data Analysis Projects
Apply R skills to practical, real-world datasets.

Final Project & Certification
This final topic evaluates learner understanding and concludes the course.

Student Ratings & Reviews

No Review Yet

About Course

What Will You Learn?

Course Content

Course Introduction & R Overview This topic introduces learners to the course structure, objectives, and how R is used for data analysis, statistics, and decision-making across industries.

Welcome to the Course

Course Objectives & Learning Outcomes

What Is R and Why Use R for Data Analysis

Real-World Applications of R

Setting Up the R Environment This topic guides learners through installing and configuring the tools needed to work efficiently with R.

Installing R and RStudio

Understanding the RStudio Interface

Running Your First R Script

Working with R Packages

R Basics & Data Types This topic covers the foundational R concepts and data structures used in analysis.

R Syntax and Basic Commands

Variables and Data Types

Vectors, Lists, and Matrices

Data Frames

Data Importing & Exporting This topic focuses on loading data into R from various sources and exporting results.

Importing CSV and Excel Files

Reading Data from Databases

Inspecting and Understanding Datasets

Exporting Data and Results

Data Cleaning & Preparation Learners will clean, transform, and prepare data for accurate and reliable analysis.

Handling Missing Values

Data Filtering and Sorting

Data Transformation

Introduction to dplyr

Exploratory Data Analysis (EDA) This topic helps learners explore data patterns, trends, and relationships.

Summary Statistics

Data Distribution and Descriptive Analysis

Identifying Outliers

Correlation Analysis

Data Visualization with R Learn how to visually communicate data insights using R.

Introduction to Data Visualization

Plotting with Base R

Data Visualization with ggplot2

Customizing Charts and Graphs

Statistical Analysis with R This topic introduces statistical methods and analytical techniques using R.

Probability and Statistics Basics

Hypothesis Testing

Regression Analysis

Statistical Modeling Concepts

Working with Time Series & Advanced Data Explore advanced data types and time-based analysis.

Date and Time Data in R

Time Series Analysis Basics

Working with Large Datasets

Reporting & Reproducible Analysis Learn how to document and share analysis results professionally.

Introduction to R Markdown

Creating Reports and Dashboards

Documentation Best Practices

Real-World Data Analysis Projects Apply R skills to practical, real-world datasets.

Business Data Analysis Case Study

Statistical Insights Project

R Data Analysis Project

Final Project & Certification This final topic evaluates learner understanding and concludes the course.

Capstone Project Guidelines

Course Review & Certificate Issuance