Coursera

Visualizing Data & Communicating Results in R with RStudio (Coursera)

Offered by Codio,

Code and run your first R program in minutes without installing anything! This course is designed for learners with limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended.
To allow for a truly hands-on, self-paced learning experience, this course is video-free.
Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.
Course 4 of 4 in the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization.

What You Will Learn

Create charts to describe and compare the composition of data sets
Illustrate the distribution of data through visualizations
Create specialized visualizations such as heat maps, correlograms, and mosaic plots
Use R Markdown to create documents, reports, and presentations

Syllabus

WEEK 1
Creating Comparison and Composition Charts
Learn how to create comparison and composition charts.

WEEK 2
Creating Specialized Visualizations
Learn how to create specialized visualizations.

WEEK 3
Creating Specialized Visualizations
Learn how to create specialized visualizations.

WEEK 4
Communicating Data Using R Markdown
Learn how to export visualizations as commonly used document files.

WEEK5
Visualizing Data and Communicating Results with R Lab
Given a data set, create a chart that represents that data.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Coursera Instructor Network

Introduction to Data Visualization in Qlik Sense (Coursera)

Statistics & Data Analysis Data Science

Data visualization is especially important today with the increased amount and velocity of data that companies capture daily, and a system is needed to ingest and make sense of all this data for improved decision-making. This course provides a comprehensive understanding of data visualization within the context of business intelligence.

Sep 14th 2026

1 Week

Visualization Data Visualization Coursera Plus

Coursera

Edureka

Use Tableau for your Data Science Workflow (Coursera)

Statistics & Data Analysis Data Science

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Sep 7th 2026

1 Week

Data Science Business Intelligence Data Visualization

Coursera

University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

Statistics & Data Analysis Data Science

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Sep 14th 2026

5-12 Weeks

Python SQL Linear Regression

Coursera

Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

Statistics & Data Analysis

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Sep 14th 2026

5-12 Weeks

Analysis Dynamic Data Analysis

Coursera

Starweaver

Matlab and Simulink Basics (Coursera)

CS: Software Engineering

Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink.

Sep 14th 2026

4 Weeks

MATLAB Data Analysis Computer Programming

Coursera

Genentech

Making Data Science Work for Clinical Reporting (Coursera)

Statistics & Data Analysis Data Science

This course is aimed to demonstrate how principles and methods from data science can be applied in clinical reporting. By the end of the course, learners will understand what requirements there are in reporting clinical trials, and how they impact on how data science is used. The learner will see how they can work efficiently and effectively while still ensuring that they meet the needed standards.

Sep 7th 2026

4 Weeks

Github Clinical Trials Data Science

Coursera

Emory University

Math for MBA and GMAT Prep (Coursera)

Business

This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

Sep 7th 2026

5-12 Weeks

Statistics Excel Statistical Analysis

Coursera

Universidad Austral

Fundamentos de la visualización de datos con Tableau (Coursera)

Statistics & Data Analysis Data Science

En este curso descubrirás qué es la visualización de datos y cómo podemos usarla para ver y comprender mejor los datos. Con Tableau, examinaremos los conceptos fundamentales de visualización de datos y exploraremos la interfaz de Tableau, identificando y aplicando las diversas herramientas que Tableau tiene para ofrecer. Este curso está diseñado para el alumno que nunca ha usado antes Tableau, o que puede necesitar un repaso, o desea explorar Tableau con más profundidad.

Sep 14th 2026

4 Weeks

Data Visualization Tableau Coursera Plus

Coursera

Board Infinity

Excel Essentials and Beyond (Coursera)

Statistics & Data Analysis

Dive into "Excel Essentials and Beyond", a comprehensive exploration of Excel, the world's leading spreadsheet tool. This course is thoughtfully crafted for both newcomers to Excel and also for those aiming for mastery. We begin by introducing Excel's robust interface and foundational features, ensuring a firm grasp of data organization techniques. As you advance, you'll delve into data visualization, transforming raw data into captivating stories.

Sep 14th 2026

5-12 Weeks

Excel Microsoft Excel Data Visualization

Coursera

University of Cape Town

Julia Scientific Programming (Coursera)

Statistics & Data Analysis Data Science

This four-module course introduces users to Julia as a first language. Julia is a high-level, high-performance dynamic programming language developed specifically for scientific computing. This language will be particularly useful for applications in physics, chemistry, astronomy, engineering, data science, bioinformatics and many more.

Sep 14th 2026

4 Weeks

IPython Data Analysis Computer Programming

Coursera

Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Statistics & Data Analysis Data Science

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

Sep 7th 2026

4 Weeks

Brain Neurology R Language

Coursera

Coursera Instructor Network

Data Ingestion, Exploration & Visualization in Qlik Sense (Coursera)

Statistics & Data Analysis Data Science

This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

Sep 14th 2026

1 Week

Data Modeling Visualization Data Visualization