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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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/3rho0i/visualizing
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What's inside
Syllabus
Course Overview
Introduction to AWS QuickSight
AWS QuickSight in Action
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save Visualizing Data on AWS to your list so you can find it easily later:
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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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Review Current Applications of AWS Quicksight
Show steps
Familiarize yourself with how AWS QuickSight is currently being used and the full array of its capabilities.
Browse courses on
AWS QuickSight
Show steps
Show steps
Show steps
- Attend the upcoming AWS webinar on case studies
- Review the AWS QuickSight documentation
AWS QuickSight Tutorial: Getting Started
Show steps
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
Show steps
Show steps
- Create an AWS account
- Create an AWS QuickSight account
- Create a data source and dataset
- Create a visualization
AWS QuickSight Resource Compilation
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
Show steps
- Register for the workshop
- Attend the workshop
- Complete the post-workshop exercises
Mentor Junior Data Analysts
Show steps
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
Show steps
Show steps
- Identify a junior data analyst to mentor
- Create a mentoring plan
- Meet regularly with your mentee
AWS QuickSight Challenge
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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.
Data Analyst
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.
Business Intelligence 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.
Data Scientist
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.
Product Manager
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.
Marketing Analyst
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.
Financial 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.
Operations 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.
Risk 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.
Consultant
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.
Software Engineer
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.
Data 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.
Database Administrator
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.
Statistician
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.
Actuary
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.
For more career information including salaries, visit:
OpenCourser.com/course/3rho0i/visualizing
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3rho0i/visualizing
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Reading Data
OpenCourser.com/course/j3cbu7/reading
Reading Data
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:
- Collecting Data on AWS
- Securing Data Analytics Pipelines on AWS
- Visualizing Data on AWS (viewing)
Good to know
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
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