Data Visualization Best Practices
Master essential data visualization principles and techniques using Tableau, focusing on effective design and communication.
Master essential data visualization principles and techniques using Tableau, focusing on effective design and communication.
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.
3.9
(14 ratings)
4,752 already enrolled
Instructors:
English
21 languages available
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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
Instructor
Accomplished Educator and Expert in Data Science and Engineering
Dr. Majed Al-Ghandour is a seasoned educator with over 27 years of experience teaching engineering and technology courses at institutions such as the University of California, Irvine (UCI), North Carolina State University (NCSU), and Wake Technical Community College. He holds a PhD in Engineering from NC State University and specializes in a range of subjects, including Introduction to Data Science, Data Engineering, Machine Learning, and Data Retrieval & Management for Analytics and AI. Additionally, he teaches Data Analytics courses for MBA graduates at NCSU, covering topics like Data Warehousing, Cloud Computing, and Visualization using tools such as Tableau and SAS.In his role as an instructor, Dr. Al-Ghandour also provides professional training to corporate clients in the Research Triangle Park area, focusing on technologies like Java, Python, and advanced analytics. His extensive knowledge encompasses various programming languages and frameworks, including SQL, C#, PHP, and R Data Science. Dr. Al-Ghandour's commitment to education and industry collaboration ensures that his students are well-equipped with the skills necessary to excel in the rapidly evolving technology landscape.
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3.9 course rating
14 ratings
Frequently asked questions
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