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Data Analysis and Visualization with R
Rating: 4.0 out of 5(1 rating)
376 students

Data Analysis and Visualization with R

Master Data Insights: Unleashing the Power of R for Analysis and Visual Storytelling
Created byTech Academy
Last updated 3/2026
English

What you'll learn

  • Install and set up R and RStudio
  • Create, manage, and organize R projects for better workflow
  • Install, load, and manage R packages to extend R’s capabilities.
  • Import datasets from CSV files and other formats into RStudio.
  • Clean and prepare raw data for analysis using the Janitor package.
  • Apply data selection techniques to filter and subset data for specific analysis
  • Use the pipe operator to chain multiple operations in a clean and efficient way.
  • Create new columns from existing data to support analysis and visualization.
  • Understand the concept of data wrangling and its importance in data preparation.
  • Use R’s visualization libraries to create impactful scatter plots.
  • Create bar graphs to visually communicate categorical data insights.
  • Develop a systematic approach to analyzing datasets with R.
  • Develop practical skills to communicate findings through visual storytelling.
  • Build a foundational skill set for advanced data analysis and predictive modeling with R.
  • Gain the ability to present and communicate data-driven insights to stakeholders.

Course content

3 sections • 22 lectures • 2h 7m total length

  • Introduction1:03
  • What is R1:43
  • Installing R on Windows2:01
  • Installing R studio on Windows1:50
  • Exploring R Studio Default Interface9:32
  • Creating a new project in R Studio5:34
  • How to install Packages4:19
  • Loading Packages6:38

Requirements

  • Basic computer literacy (navigating files, using software, etc.)
  • Familiarity with spreadsheets (like Excel or Google Sheets) is a plus.
  • Analytical thinking and problem-solving mindset.
  • No prior experience with R or coding is required, as the course starts from the basics.
  • A computer (Windows, Mac, or Linux) with internet access.
  • The ability to install software (R and RStudio) on the system.
  • A stable internet connection for downloading packages and accessing resources.

Description

The Data Analysis and Visualization with R course is a comprehensive program designed to equip learners with the essential skills to analyze, visualize, and interpret data using R, one of the most powerful and versatile tools for data science. Whether you're an aspiring data analyst, a business professional looking to make data-driven decisions, or a student seeking to develop your analytical skills, this course provides a structured and hands-on approach to mastering R for data analysis.

What You’ll Learn:

This course covers every step of the data analysis process, from data import to the creation of compelling visualizations. You’ll begin with the fundamentals of R, including installation, navigating RStudio, and understanding its key features. As you progress, you’ll learn to import, clean, and manipulate raw datasets using industry-standard best practices. The course emphasizes data wrangling — an essential skill for data analysts — and demonstrates how to extract useful insights from even the messiest datasets.

Once your data is ready, you’ll move on to the exciting world of data visualization. You’ll learn how to create impactful bar graphs, scatter plots, and other visual representations that bring your data to life. These visualizations enable you to tell a clear, compelling story that communicates insights effectively to stakeholders, clients, or your audience.

Why Take This Course?

Data literacy is a crucial skill in today’s job market, and proficiency in R sets you apart as a skilled data analyst. This course takes a practical, hands-on approach, with step-by-step guidance and real-world examples. By the end of the course, you’ll have the confidence and capability to analyze large datasets, discover insights, and create visualizations that support impactful storytelling.

Unlike other courses that focus on theory, this program emphasizes practical application. You'll work with real datasets, learn to solve real-world problems, and create visual outputs that mirror the needs of modern employers and academic institutions. This approach ensures that you're not just learning concepts — you're building job-ready skills that can be applied immediately.

Who Should Enroll?

This course is ideal for a wide range of learners, including:

  • Beginners in Data Analysis: Get a comprehensive introduction to R and data analysis concepts.

  • Business Professionals: Learn to analyze business data, spot trends, and create visual dashboards.

  • Aspiring Data Analysts and Scientists: Build a strong foundation in R and data wrangling to prepare for a career in data science.

  • Researchers and Academics: Develop essential skills for handling, cleaning, and visualizing research data.

  • Anyone Curious About Data: Gain the technical know-how to transform raw data into actionable insights.

Who this course is for:

  • Beginners in Data Analysis
  • Aspiring Data Analysts and Data Scientists
  • Business Professionals and Decision-Makers
  • Students and Academics
  • Anyone Curious About Data

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