Data Storytelling
Master multivariate data visualization and storytelling techniques using Tableau. Learn to create impactful, ethical data presentations.
Master multivariate data visualization and storytelling techniques using Tableau. Learn to create impactful, ethical data presentations.
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.
4.7
(3,933 ratings)
3,933 already enrolled
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What you'll learn
Create complex multivariate visualizations in Tableau
Analyze statistical relationships and distributions in data
Develop effective data storytelling techniques
Implement ethical visualization practices
Perform multivariate analysis of financial data
Skills you'll gain
This course includes:
0.3 Hours PreRecorded video
4 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores advanced data visualization concepts and storytelling techniques. Students learn multivariate visualization methods, statistical relationships, and ethical considerations in data presentation. The curriculum covers creating effective visualizations in Tableau, understanding data distributions, and avoiding deceptive representations. Through hands-on practice with S&P 500 stock sector analysis, learners develop practical skills in creating impactful data stories.
Multivariate Visualization Methods
Module 1 · 2 Hours to complete
Statistical Relationships and Distributions
Module 2 · 2 Hours to complete
Storytelling with Data
Module 3 · 2 Hours to complete
Ethics, Deception, and Fallacies
Module 4 · 2 Hours to complete
Fee Structure
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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4.7 course rating
3,933 ratings
Frequently asked questions
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