Dashboarding and Deployment
This course is part of Use Tableau for Your Data Science Workflow Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Use Tableau for Your Data Science Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
21 languages available
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What you'll learn
Design effective analytical dashboards
Create unified visualization environments
Master dashboard deployment and publishing
Apply advanced visualization techniques
Develop data storytelling skills
Skills you'll gain
This course includes:
0.5 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 4 modules in this course
This comprehensive course covers the principles and practices of analytical dashboarding using Tableau. Students learn dashboard design best practices, creating unified analytical environments, and deploying visualizations. The curriculum includes advanced visualization techniques for geospatial, network, and time series analysis. Through hands-on projects, students develop skills in creating effective information layouts and storytelling with data.
From Data to Visual Understanding
Module 1 · 2 Hours to complete
Analytical Dashboarding
Module 2 · 2 Hours to complete
Deploying and Publishing
Module 3 · 2 Hours to complete
Going Beyond
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Use Tableau for Your Data Science Workflow Specialization
Instructor
Expert in Data Science and Engineering at UC Irvine
Dr. Majed Al-Ghandour is a seasoned educator and consultant with over 27 years of experience in teaching and developing courses in data science, machine learning, and data engineering at the University of California, Irvine (UCI) Division of Continuing Education. He holds a PhD in Engineering from North Carolina State University and has taught a variety of classes, including Introduction to Data Science, Data Engineering, and Docker Fundamentals with AWS. In addition to his role at UCI, Dr. Al-Ghandour serves as a Visiting Lecturer at NCSU, where he instructs MBA graduates in courses such as Introduction to Data Analytics and Visualization, Data Warehousing, and Cloud Computing. His extensive teaching portfolio also includes corporate training in programming languages like Java, Python, and SQL, as well as advanced data analytics techniques using tools like Tableau and SAS. Dr. Al-Ghandour's passion for data analytics is evident in his commitment to educating future professionals in the field, making significant contributions to both academic and corporate environments.
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Frequently asked questions
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