Udemy – R Programming for Statistics and Data Science

Description

R Programming for Statistics and Data Science – Complete Beginner to Pro (2025 Update)

Requirements

• You’ll need to install R Studio (step-by-step installation guide included in the course).

• All required software, tools, and datasets are free to use.

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Course Description

Master R Programming for Data Analysis, Statistics & Real-World Data Science Projects

If you want to become a Data Analyst or Data Scientist, R Programming is one of the most powerful skills you can learn. R is one of the top languages used in analytics, data modeling, machine learning, visualization, and research-based industries.

This course, R Programming for Statistics and Data Science, is designed to take you from a complete beginner to someone who can confidently work with data, build statistical models, and perform hands-on data analysis in R.

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What You’ll Learn

1. Strong Foundations in R Programming

• Start coding in R from the very first lessons

• Beginner-friendly explanations with practical examples

• Learn variables, data types, operations, and core programming logic

• Become comfortable with R Studio and essential libraries

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2. Complete Introduction to Statistics

Understand the fundamentals behind data analysis with an easy step-by-step approach:

• Descriptive statistics

• Inferential statistics

• Confidence intervals & hypothesis testing

• Regression analysis

• Cluster analysis
  This course builds your statistical intuition side-by-side with practical R coding.

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3. Hands-On Data Manipulation with Tidyverse

Master essential data science tools:

• Work with vectors, matrices, lists, and data frames

• Clean, transform, subset, and arrange data

• Use powerful Tidyverse functions such as:
  filter(), mutate(), arrange(), spread(), gather(), select(), subset(), and more

Learn to structure data efficiently—just like professional data analysts.

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4. Create Stunning Data Visualizations

You will learn to build:

• Bar charts

• Line charts

• Scatter plots

• Histograms

• Custom visualizations with ggplot2

Turn raw data into meaningful insights through professional-quality graphics.

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5. Practical Exercises, Projects & Step-by-Step Challenges

This course includes:

• Real-world homework assignments

• Multiple coding practice sessions

• Hands-on projects to reinforce your learning

Every challenge helps you grow, think like a data scientist, and solve real analysis problems.

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6. Verified Certificate of Completion

After successfully completing the course, you’ll receive a verifiable certificate with your name on it—perfect for your CV, portfolio, and LinkedIn profile. Showcase your skills in:

• R Programming

• Data Manipulation

• Statistical Analysis

• Data Visualization

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Why This Course is Different

• Easy-to-follow learning structure

• Perfect balance between theory and hands-on practice

• Designed for both absolute beginners and learners who want to refresh their R skills

• Engaging, well-paced lessons crafted for maximum understanding and retention

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Who This Course is For

• Aspiring Data Scientists & Data Analysts

• Beginners with no prior programming experience

• Students interested in statistics and data analysis

• Anyone who wants to learn R and apply it to practical data science tasks

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.