OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Visualizing Data on AWS is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Read Reviews → Enroll Active
Read Reviews → Enroll Active
Read Reviews → Enroll Active
Pluralsight logo

Visualizing Data on AWS

Mohammed Osman

Data visualization is an important step for professionals who want to make sense of data for machine learning purposes or even presenting meaningful data to an audience. In this course you will see how to do data visualization using AWS QuickSight.

Read more

Data visualization is an important step for professionals who want to make sense of data for machine learning purposes or even presenting meaningful data to an audience. In this course you will see how to do data visualization using AWS QuickSight.

Data visualization is a necessary task for any business professional trying to make sense of numbers, data scientists trying to identify an underlying relationship, or even a C-level executive who wants to visualize rigid reported figures. In this course, Visualizing Data on AWS, you’ll learn how to visualize and quickly make sense of your data. First, you’ll explore the basics of AWS QuickSight. Next, you’ll discover the core components that form AWS QuickSight. Finally, you’ll learn how to visualize your data using different chart types. When you’re finished with this course, you’ll have the skills and knowledge of data visualization needed to perform data visualization.

This course is no longer available. Find something similar by browsing:
AWS QuickSight Data Visualization Charts Data Analysis Business Intelligence

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores AWS QuickSight, a widely used data visualization tool in the industry
Taught by Mohammed Osman, an experienced instructor in data visualization
Provides practical training on visualizing data using different chart types

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Practical introduction to aws quicksight

According to learners, this course offers a highly practical and hands-on introduction to AWS QuickSight, making it an excellent starting point for beginners in data visualization on AWS. Students consistently praise the clarity of explanations provided by the instructor, along with the effective use of hands-on labs and practical demonstrations that solidify understanding. The course effectively covers core QuickSight features and various chart types, providing immediately applicable skills. However, some students note that while it provides a solid foundation, it may be too basic for more experienced users seeking in-depth or advanced topics beyond the initial learning curve.
Despite minor platform changes, core content holds up well.
"Some minor UI changes in QuickSight have occurred since the course was made, but it's still easy to follow along."
"I found the course material to be up-to-date enough for practical application, even with ongoing QuickSight updates."
Provides a clear and effective introduction for new users.
"This course is exactly what I needed to get started with QuickSight. The structure is logical and easy to follow."
"It's a great starting point for anyone looking to visualize data on AWS. The instructor explained complex ideas clearly."
"The content provided me with a strong foundation in using QuickSight for common tasks."
Focuses on practical application with effective demos and labs.
"The hands-on labs were incredibly helpful for understanding concepts. I loved how practical the examples were..."
"As a business analyst, I found the practical application of QuickSight to real-world scenarios invaluable. The hands-on approach is what made this course stand out for me."
"The project-based learning helped solidify understanding. I appreciate that it's concise and to the point."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
Some felt prior AWS knowledge was beneficial for context.
"I think having some prior AWS knowledge is beneficial, as the course sometimes assumes familiarity with AWS services."
"The explanations were good, but sometimes I needed to look up additional resources to fully grasp a concept related to AWS."
May be too basic for experienced users seeking advanced features.
"Felt too basic for my needs. I was hoping for more advanced techniques and optimization strategies for large datasets."
"I wished there was a bit more depth on advanced features like SPICE datasets or custom SQL queries, but for an intro, it's very good."
"This course feels too basic for my intermediate skill level; it's good for absolute beginners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visualizing Data on AWS with these activities:
Review Current Applications of AWS Quicksight
Familiarize yourself with how AWS QuickSight is currently being used and the full array of its capabilities.
Browse courses on AWS QuickSight
Show steps
  • Attend the upcoming AWS webinar on case studies
  • Review the AWS QuickSight documentation
AWS QuickSight Tutorial: Getting Started
Follow a step-by-step guide to get a quick overview of how to use the basic features of AWS QuickSight to better understand the course content.
Browse courses on AWS QuickSight
Show steps
  • Create an AWS account
  • Create an AWS QuickSight account
  • Create a data source and dataset
  • Create a visualization
AWS QuickSight Resource Compilation
Gather and organize resources to supplement your learning, creating a valuable repository of information for future reference and continued skill development in AWS QuickSight beyond the course.
Browse courses on AWS QuickSight
Show steps
  • Create a document or spreadsheet
  • List and describe resources
Five other activities
Expand to see all activities and additional details
Show all eight activities
Data Visualization Project: Analyze Sales Data
Create a data visualization using AWS QuickSight to analyze sales data and gain insights into sales trends and customer behavior, thereby applying your skills learned in the course.
Browse courses on Data Visualization
Show steps
  • Gather sales data
  • Create a data source and dataset in AWS QuickSight
  • Create visualizations to analyze sales data
  • Write a report summarizing your findings
AWS QuickSight Workshop: Advanced Features
Attend an in-person or online workshop to learn advanced features of AWS QuickSight and refine your skills learned in the course.
Browse courses on AWS QuickSight
Show steps
  • Register for the workshop
  • Attend the workshop
  • Complete the post-workshop exercises
Mentor Junior Data Analysts
Share your knowledge and skills with junior data analysts by mentoring them on AWS QuickSight, providing guidance and reinforcing the concepts learned in the course.
Browse courses on Data Visualization
Show steps
  • Identify a junior data analyst to mentor
  • Create a mentoring plan
  • Meet regularly with your mentee
AWS QuickSight Challenge
Participate in a competition to design and create an innovative data visualization using AWS QuickSight, thereby putting your skills learned in the course to the test in a real-world scenario.
Browse courses on AWS QuickSight
Show steps
  • Review the competition guidelines
  • Design and create your data visualization
  • Submit your visualization
Blog Post: Best Practices for Data Visualization with AWS QuickSight
Write a blog post to share your knowledge and experience with AWS QuickSight, reinforcing your understanding of the concepts learned in the course and contributing to the wider community.
Browse courses on Data Visualization
Show steps
  • Choose a topic
  • Write the blog post
  • Promote your blog post

Career center

Learners who complete Visualizing Data on AWS will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
Data visualization engineers create and manage data visualizations, including dashboards and interactive charts, that communicate complex data in a clear and concise way. This course will help you develop the skills you need to create dashboards and other data visualizations using AWS QuickSight, a powerful cloud-based tool. As a data visualization engineer, you will use your skills to help organizations make better decisions by understanding their data.
See salaries and explore the career path for Data Visualization Engineer
Data Analyst
Data analysts collect, clean, and analyze data to help organizations make better decisions. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a data analyst, you will use your skills to help organizations identify opportunities for growth and improve their operations.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
Business intelligence analysts use data to help organizations make better decisions. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a business intelligence analyst, you will use your skills to help organizations understand their customers, optimize their marketing campaigns, and improve their product development process.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
Data scientists use data to solve complex problems. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a data scientist, you will use your skills to help organizations develop new products, improve their operations, and make better decisions.
See salaries and explore the career path for Data Scientist
Product Manager
Product managers are responsible for the development and launch of new products. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a product manager, you will use your skills to help organizations understand their customers, optimize their product development process, and launch successful new products.
See salaries and explore the career path for Product Manager
Marketing Analyst
Marketing analysts use data to help organizations improve their marketing campaigns. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a marketing analyst, you will use your skills to help organizations understand their customers, optimize their marketing campaigns, and improve their ROI.
See salaries and explore the career path for Marketing Analyst
Financial Analyst
Financial analysts use data to help organizations make investment decisions. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a financial analyst, you will use your skills to help organizations understand their financial performance, make sound investment decisions, and manage their risk.
See salaries and explore the career path for Financial Analyst
Operations Analyst
Operations analysts use data to help organizations improve their operations. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As an operations analyst, you will use your skills to help organizations optimize their supply chain, improve their customer service, and reduce their costs.
See salaries and explore the career path for Operations Analyst
Risk Analyst
Risk analysts use data to help organizations identify and manage risk. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a risk analyst, you will use your skills to help organizations understand their risk exposure, develop risk management plans, and make sound decisions.
See salaries and explore the career path for Risk Analyst
Consultant
Consultants use data to help organizations solve problems and improve their performance. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a consultant, you will use your skills to help organizations understand their data, develop solutions to their problems, and improve their operations.
See salaries and explore the career path for Consultant
Software Engineer
Software engineers use data to develop and maintain software. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a software engineer, you will use your skills to help organizations develop software that meets their needs, improves their productivity, and reduces their costs.
See salaries and explore the career path for Software Engineer
Data Engineer
Data engineers use data to build and maintain data pipelines. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a data engineer, you will use your skills to help organizations collect, clean, and store their data, and make it available to analysts and other users.
See salaries and explore the career path for Data Engineer
Database Administrator
Database administrators use data to manage and maintain databases. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a database administrator, you will use your skills to help organizations ensure that their data is accurate, secure, and accessible.
See salaries and explore the career path for Database Administrator
Statistician
Statisticians use data to analyze and interpret data. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As a statistician, you will use your skills to help organizations understand their data, make sound decisions, and improve their operations.
See salaries and explore the career path for Statistician
Actuary
Actuaries use data to assess risk and uncertainty. This course will help you develop the skills you need to use AWS QuickSight to visualize data and identify trends and patterns. As an actuary, you will use your skills to help organizations understand their risk exposure, develop risk management plans, and make sound decisions.
See salaries and explore the career path for Actuary

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Visualizing Data on AWS.
Cover image
Data Visualisation
Save
Covers the fundamental principles of data visualization, providing a practical and comprehensive guide to creating effective data visualizations. It includes many real-world examples and is commonly used as a textbook in academic institutions.
Data Visualisation: A Handbook for Data Driven...
Paperback
$$
Data Visualisation: A Handbook for Data Driven...
Paperback
$$$
Data Visualisation: A Handbook for Data Driven...
Kindle Edition
$$$
Cover image
Egocentric Network Analysis
Save
Provides a concise and practical guide to choosing the right data visualization technique for different types of data and audiences. It emphasizes the importance of clarity and effectiveness in data visualization.
Egocentric Network Analysis: Foundations, Methods,...
Paperback
$$
Egocentric Network Analysis: Foundations, Methods,...
Kindle Edition
$$
Cover image
The Big Book of Dashboards
Save
Provides a step-by-step guide to using Tableau, a popular data visualization software. It covers all aspects of Tableau, from data preparation to creating interactive visualizations.
The Big Book of Dashboards: Visualizing Your Data...
Paperback
$$
The Big Book of Dashboards: Visualizing Your Data...
Kindle Edition
$$
Cover image
Modern Data Analytics in Excel
Save
Provides a comprehensive overview of data analysis using Excel, a popular spreadsheet software. It covers a wide range of topics, from data manipulation to statistical analysis and data visualization.
Modern Data Analytics in Excel
Paperback
Check
Modern Data Analytics in Excel
Kindle Edition
Check
Cover image
Reflections on Slope Stability Engineering
Save
This classic book comprehensive and authoritative guide to the principles of data visualization. It covers a wide range of topics, from basic chart types to advanced techniques for presenting complex data.
Reflections on Slope Stability Engineering
Paperback
$$$
Reflections on Slope Stability Engineering
Kindle Edition
$$$
Cover image
R for Data Science
Save
Provides a comprehensive introduction to R, a popular programming language for data science and data analysis. It covers a wide range of topics, from data manipulation to statistical modeling and data visualization.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive introduction to Python, a popular programming language for data analysis and data science. It covers a wide range of topics, from data manipulation to statistical modeling and data visualization.
Python for Data Analysis: Data Wrangling with...
Paperback
$$
Python for Data Analysis
Kindle Edition
$$
Python for Data Analysis: Data Wrangling with...
Paperback
$$$
Cover image
Information Dashboard Design
Save
Provides a framework for designing effective dashboards that communicate data clearly and efficiently. It covers topics such as data organization, visual hierarchy, and user experience.
Information Dashboard Design: Displaying Data for...
Hardcover
$$
Information Dashboard Design: The Effective Visual...
Paperback
$$
Cover image
D3.js in Action, Third Edition
Save
Provides a step-by-step guide to using JavaScript to create interactive data visualizations. It covers all aspects of data visualization, from data preparation to creating interactive visualizations.
D3.js in Action, Third Edition
Paperback
$$$
Cover image
Advanced R, Second Edition
Save
Covers the fundamentals of ggplot2, a popular R package for data visualization. It provides detailed explanations and examples of how to use ggplot2 to create various types of data visualizations.
Advanced R, Second Edition (Chapman & Hall/CRC The...
Paperback
$$$
Advanced R, Second Edition (Chapman & Hall/CRC The...
Kindle Edition
$$$
Cover image
Storytelling with You
Save
Teaches readers how to use data visualization to tell compelling stories that resonate with audiences. It provides practical techniques for creating data visualizations that are clear, concise, and persuasive.
Storytelling with You: Plan, Create, and Deliver a...
Paperback
$$
Storytelling with You: Plan, Create, and Deliver a...
Kindle Edition
$$
Cover image
Data Visualization Made Simple
Save
Provides a simple and straightforward guide to creating effective data visualizations. It covers the basics of visual perception and how to use color, shape, and other elements to communicate data clearly.
Data Visualization Made Simple
Paperback
$$
Data Visualization Made Simple: Insights into...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Visualizing Data on AWS.
How to Create a Gantt Chart in Tableau
Most relevant
Foundations of strategic business analytics
Most relevant
Data Visualization in Power BI: Create Your First...
Most relevant
Power BI Masterclass 8 -Python, Finance, and Advanced DAX
Most relevant
The Power of Storytelling: How to Visualize Data in the...
Most relevant
Choosing Which Method Is Best For Illustrating Data
Most relevant
Power BI Data Analyst Prep
Most relevant
Qlik Sense for Beginners: Analyze and Visualize Data
Most relevant
Microsoft Excel: Business Intelligence w/ Power Query &...
Most relevant

Pluralsight Buyer Protection & Guarantee

Verified partner policies & purchase protections

Enterprise Technology Platform
Free Trial & Audit

10-Day Free Trial

10-day free trial (up to 200 minutes of content) with access to the Skills video library and skill assessments. Cancel before day 10 to avoid automatic conversion.

Return & Refund Policy

Cancel Anytime (Non-Refundable Once Billed)

Cancel easily online anytime before the 10-day trial expires to prevent billing. Once subscription fees are paid, individual subscriptions are non-refundable (cancellation stops future renewals).

Buyer Protections

Verified Academic & Industry Partner

Skill IQ and Role IQ diagnostic benchmark assessments, hands-on lab environments, and curated learning paths designed by technology leaders.

Key Purchase Protections
10-day free trial on individual Skills plans
Skill IQ assessments to benchmark proficiency
Cancel anytime online before trial ends without fees
Hands-on interactive labs and enterprise-grade tech content
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Time
34 hours
Level
Intermediate
Via
Pluralsight
Instructor
Mohammed Osman
Language
English
This course belongs to a collection called AWS Certified Data Analytics – Specialty (DAS-C01). It's comprised of three courses:
  1. Collecting Data on AWS
  2. Securing Data Analytics Pipelines on AWS
  3. Visualizing Data on AWS (viewing)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores AWS QuickSight, a widely used data visualization tool in the industry
Taught by Mohammed Osman, an experienced instructor in data visualization
Provides practical training on visualizing data using different chart types
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
This course is currently discontinued or unavailable. See active alternatives above.
Course Unavailable
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser