R Programming For Data Analysis Course

Q: Is this R programming course beginner-friendly?

Yes! R Programming for Data Analysis is designed for beginners and intermediate programmers who want to build skills in data science using R.

Price
$1,795.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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R for Data Analysis Overview

R Programming for Data Analysis gives you the tools to turn raw information into meaningful insights. Designed for beginners and aspiring data scientists alike, this course teaches you how to use R programming to import, clean, analyze, and visualize data. You'll work with data frames, create compelling graphics using ggplot2, and build a strong foundation in statistical analysis—essential skills for any data analyst or data scientist today.

Whether you’re starting your journey into data science or adding R programming to your existing toolkit, this course provides hands-on practice and expert guidance to help you succeed.

Course Objectives

In R Programming for Data Analysis, you’ll learn to use R to solve real-world problems by cleaning, analyzing, and visualizing datasets. This course prepares you to work confidently with data frames, master basic statistical techniques, install and use essential R packages, and create polished graphics using ggplot2.

You’ll also gain valuable insights into how R fits into the broader field of data science and how it compares to other programming languages like Python.

Who Should Attend?

Beginner to Intermediate developers looking to use R and RStudio to visualize and explore large and complex data sets.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is R Programming for Data Analysis?

R is a free, open-source programming language designed specifically for statistical computing, data analysis, and visualization. This course teaches you how to use R to work with real-world datasets and build professional-quality reports and graphics.

Is this R programming course beginner-friendly?

Yes! R Programming for Data Analysis is designed for beginners and intermediate programmers who want to build skills in data science using R.

How does R compare to Python for data analysis?

Both R and Python are excellent for data science, but R shines when it comes to statistical analysis and creating high-quality graphics. Many analysts and researchers prefer R for its specialized packages and visualization capabilities.

Will I get hands-on experience using R?

Absolutely! You'll work with real-world datasets, build graphics using ggplot2, and complete practical exercises to strengthen your skills.

How long does it take to learn R for data analysis?

Most learners gain a working knowledge of R in just a few weeks, depending on prior experience and how much time you dedicate to practice.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Agenda

Module 1: Introduction to R Programming

Setting up R and RStudio
Understanding the R environment
Installing and managing R packages

Module 2: Working with Data

Importing data from CSV, Excel, and databases
Data types and working with data frames
Cleaning and transforming data

Module 3: Statistical Analysis in R

Descriptive statistics and summary functions
Conducting basic statistical tests

Module 4: Data Visualization with ggplot2

Creating and customizing visualizations
Building bar charts, scatterplots, and histograms

Module 5: Final Project

Analyze a dataset and create a presentation-ready report using R and ggplot2

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.