Data Visualization Best Practices
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.
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(14 ratings)
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Instructors:
English
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What you'll learn
Apply visualization fundamentals for effective communication
Implement design principles in data graphics
Create univariate visualizations using Tableau
Develop data storytelling techniques
Analyze and represent statistical distributions
Skills you'll gain
This course includes:
0.4 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 covers fundamental principles of data visualization and their practical application in Tableau. Students learn design principles, visualization techniques, and the grammar of graphics framework. The curriculum includes hands-on practice with univariate analysis using real-world data from S&P 500 stock sectors, focusing on effective communication and storytelling through visuals.
Visualization Fundamentals
Module 1 · 2 Hours to complete
Design Principles for Effective Visualizations
Module 2 · 2 Hours to complete
Univariate Visualization Methods
Module 3 · 2 Hours to complete
Standard Univariate Visualizations
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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