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This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:
Read more
This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:
Read more
This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:
Data Analytics and Visualization Certificate
What you'll learn
First, learners will learn the Tableau interface and becoming familiar with the importance of data visualization in a business setting. Then, learners will gain practice building many types of visualizations using different datasets. Finally, learn how to combine multiple visualizations into a single dashboard, adding interactive features and instructive text so that business stakeholders can access the information needed to make decisions.
Register for this course and see more details by visiting:
OpenCourser.com/course/gyjrwz/data
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Good to know
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what to watch for , and
possible dealbreakers
Develops core data visualization skills in Tableau, which is widely used in business settings
Uses interactive videos to make concepts accessible and engaging
Provides a well-structured learning path, starting with the basics and building to more advanced concepts
Offers a capstone project that allows learners to apply their skills in a realistic setting
Is part of a larger certificate program, allowing learners to expand their knowledge in data analytics
Save this course
Save Data Visualization and Representation 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 Data Visualization and Representation with these
activities:
Data Visualization Practice Problems
Show steps
Provide repetitive practice opportunities to reinforce learners' understanding of fundamental data visualization concepts.
Show steps
-
Solve practice problems that involve creating different types of visualizations.
Peer Review and Collaboration
Show steps
Foster collaboration and provide learners with feedback to refine their understanding and skills in data visualization.
Show steps
-
Form study groups with classmates to discuss course concepts and work on assignments together.
-
Provide feedback and constructive criticism on each other's visualizations.
Interactive Data Visualization Tutorial
Show steps
Supplement the course content with additional resources to enhance learners' understanding of data visualization techniques.
Show steps
-
Explore online tutorials and resources that provide hands-on practice with real-life data sets.
-
Follow along with tutorials to create visualizations and understand different chart types and their applications.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Visualization Meet-up
Show steps
Connect learners with industry professionals to gain insights and broaden their perspectives on data visualization.
Show steps
-
Attend local meet-ups or online events focused on data visualization and analytics.
-
Network with professionals, share knowledge, and learn about industry trends.
Data Visualization Resource Collection
Show steps
Expand learners' knowledge and exposure to the field of data visualization by compiling relevant resources.
Show steps
-
Research and identify valuable resources, such as articles, tutorials, videos, and datasets.
-
Create a curated collection organized by topic, difficulty level, and purpose.
-
Share the collection with classmates, colleagues, and online communities.
Data Visualization Blog
Show steps
Strengthen learners' understanding of data visualization by putting their learnings into practice to create content.
Browse courses on
Tableau
Show steps
-
Choose a data visualization project and create a Tableau dashboard showcasing it.
-
Write a blog post that details the steps taken to create the dashboard and the results achieved.
-
Publish the blog post on personal or professional platforms and share it with peers and industry experts for feedback.
Data Visualization Project
Show steps
Allow learners to get hands-on experience with the concepts taught in the course and gain a wider understanding of the Tableau interface.
Show steps
-
Create a Tableau dashboard using multiple visualizations to track business performance, including profit, revenue, sales, and customer satisfaction.
-
Handle missing or invalid data and create custom visualizations to display data in a meaningful way.
-
Create a presentation or report to explain the insights gained from the data visualization.
Data Visualization Practice Problems
Show steps
Provide repetitive practice opportunities to reinforce learners' understanding of fundamental data visualization concepts.
Show steps
Show steps
Show steps
- Solve practice problems that involve creating different types of visualizations.
Peer Review and Collaboration
Show steps
Foster collaboration and provide learners with feedback to refine their understanding and skills in data visualization.
Show steps
Show steps
Show steps
- Form study groups with classmates to discuss course concepts and work on assignments together.
- Provide feedback and constructive criticism on each other's visualizations.
Interactive Data Visualization Tutorial
Show steps
Supplement the course content with additional resources to enhance learners' understanding of data visualization techniques.
Show steps
Show steps
Show steps
- Explore online tutorials and resources that provide hands-on practice with real-life data sets.
- Follow along with tutorials to create visualizations and understand different chart types and their applications.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Visualization Meet-up
Show steps
Connect learners with industry professionals to gain insights and broaden their perspectives on data visualization.
Show steps
Show steps
Show steps
- Attend local meet-ups or online events focused on data visualization and analytics.
- Network with professionals, share knowledge, and learn about industry trends.
Data Visualization Resource Collection
Show steps
Expand learners' knowledge and exposure to the field of data visualization by compiling relevant resources.
Show steps
Show steps
Show steps
- Research and identify valuable resources, such as articles, tutorials, videos, and datasets.
- Create a curated collection organized by topic, difficulty level, and purpose.
- Share the collection with classmates, colleagues, and online communities.
Data Visualization Blog
Show steps
Strengthen learners' understanding of data visualization by putting their learnings into practice to create content.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Choose a data visualization project and create a Tableau dashboard showcasing it.
- Write a blog post that details the steps taken to create the dashboard and the results achieved.
- Publish the blog post on personal or professional platforms and share it with peers and industry experts for feedback.
Data Visualization Project
Show steps
Allow learners to get hands-on experience with the concepts taught in the course and gain a wider understanding of the Tableau interface.
Show steps
Show steps
Show steps
- Create a Tableau dashboard using multiple visualizations to track business performance, including profit, revenue, sales, and customer satisfaction.
- Handle missing or invalid data and create custom visualizations to display data in a meaningful way.
- Create a presentation or report to explain the insights gained from the data visualization.
Career center
Learners who complete Data Visualization and Representation will develop knowledge and skills
that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists design and develop data visualizations to communicate insights from data. This course provides a comprehensive understanding of data visualization principles and techniques. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and engaging manner, a skill highly sought after by Data Visualization Specialists.
Data Scientist
Data Scientist
A Data Scientist analyzes, interprets, and visualizes data to derive meaningful insights and make data-driven decisions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating insights to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Data Scientists.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course provides practical experience in using data visualization tools to present data in a visually appealing and informative way. By gaining proficiency in data visualization techniques, learners can effectively communicate insights to stakeholders and make data-driven recommendations.
Business Analyst
Business Analyst
Business Analysts use data to identify business problems and opportunities. This course provides a foundation in data visualization techniques, which are crucial for effectively communicating findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Business Analysts.
Market Research Analyst
Market Research Analyst
Market Research Analysts conduct surveys, collect data, and analyze market trends to understand consumer behavior. This course provides a foundation in data visualization techniques, which are essential for effectively presenting research findings to clients and stakeholders. By learning how to create visually appealing and informative charts and graphs, learners can enhance their ability to communicate insights and make data-driven recommendations.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investments and make financial decisions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating financial data to clients and stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Financial Analysts.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products. This course provides a foundation in data visualization techniques, which are crucial for effectively communicating product data to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Product Managers.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course provides a foundation in data visualization techniques, which are essential for effectively analyzing marketing data and measuring campaign performance. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Marketing Managers.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business processes. This course provides a foundation in data visualization techniques, which are essential for effectively communicating analysis results to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Operations Research Analysts.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to draw meaningful conclusions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating statistical findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Statisticians.
Information Architect
Information Architect
Information Architects design and organize website and software applications to make them easy to use. This course provides a foundation in data visualization techniques, which are essential for effectively communicating information architecture concepts to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Information Architects.
User Experience Designer
User Experience Designer
User Experience Designers create user-centered designs for websites and software applications. This course provides a foundation in data visualization techniques, which are essential for effectively communicating user experience research findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by User Experience Designers.
Web Developer
Web Developer
Web Developers design and develop websites and software applications. This course may be useful for Web Developers who want to learn how to use data visualization techniques to enhance the user experience of their websites and applications. By learning how to create interactive dashboards and visualizations, learners can improve the usability and engagement of their websites and applications.
Graphic designer
Graphic designer
Graphic Designers create visual concepts for websites, software applications, and other media. This course may be useful for Graphic Designers who want to learn how to use data visualization techniques to create more effective visual designs. By learning how to present data in a clear and engaging manner, learners can enhance the impact of their designs.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn how to use data visualization techniques to improve the usability and functionality of their software applications. By learning how to create interactive dashboards and visualizations, learners can enhance the user experience and make their software applications more valuable to users.
For more career information including salaries, visit:
OpenCourser.com/course/gyjrwz/data
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
Data Visualization and Representation.
Save
This classic work on data visualization explores the principles of effective graphical communication. It provides a deep understanding of how to design charts, graphs, and other data visualizations that are both informative and visually appealing.
Save
Provides a comprehensive overview of data visualization techniques and principles. It covers topics such as data exploration, visual perception, and storytelling with data. It valuable resource for both beginners and experienced data visualization practitioners.
Provides a comprehensive guide to statistical learning. It covers all aspects of statistical learning, from supervised learning to unsupervised learning.
Provides a comprehensive guide to using Python for data analysis. It covers all aspects of data analysis, from data exploration to model building.
Save
Provides a comprehensive guide to using R for data science. It covers all aspects of data science, from data exploration to model building.
Provides a comprehensive guide to deep learning with Python. It covers all aspects of deep learning, from the basics to the latest advances.
Save
His book provides a practical guide to designing effective information dashboards. It covers topics such as dashboard design principles, data visualization best practices, and how to use dashboards to communicate data insights.
Save
Provides a comprehensive guide to data mining. It covers all aspects of data mining, from data preparation to model evaluation.
Provides a comprehensive guide to statistics for data science. It covers all aspects of statistics, from descriptive statistics to inferential statistics.
Provides a comprehensive guide to using machine learning for data science. It covers all aspects of machine learning, from data preparation to model evaluation.
Save
Provides a comprehensive guide to deep learning. It covers all aspects of deep learning, from the basics to the latest advances.
Provides a gentle introduction to data analytics for beginners. It covers the basics of data analytics, including how to collect, clean, and analyze data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gyjrwz/data
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Effort
11 hours per week for 5 weeks
Level
Elementary
Via
edX
Institution
Arizona State University
Good to know
Develops core data visualization skills in Tableau, which is widely used in business settings
Uses interactive videos to make concepts accessible and engaging
Provides a well-structured learning path, starting with the basics and building to more advanced concepts
Offers a capstone project that allows learners to apply their skills in a realistic setting
Is part of a larger certificate program, allowing learners to expand their knowledge in data analytics
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