Data Visualization and Communication with Tableau
Master data storytelling and visualization using Tableau to create impactful business presentations and actionable insights.
Master data storytelling and visualization using Tableau to create impactful business presentations and actionable insights.
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 Excel to MySQL: Analytic Techniques for Business 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
(3,197 ratings)
2,21,797 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 3 more
Powered by
What you'll learn
Create effective business visualizations with Tableau
Design interactive dashboards for data analysis
Craft compelling data stories for presentations
Optimize visualizations for business impact
Deliver persuasive data-driven presentations
Skills you'll gain
This course includes:
7.2 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course teaches students how to communicate business-relevant implications of data analyses effectively using Tableau. The curriculum covers essential skills from crafting the right questions to designing impactful visualizations and dashboards. Students learn to structure data analysis projects, create business-focused visualizations, and present compelling data stories. The course emphasizes practical application through hands-on exercises with Tableau, teaching students to leverage visual perception principles and business-tested design methods for maximum impact.
About this Specialization and Course
Module 1 · 48 Minutes to complete
Asking The "Right Questions"
Module 2 · 1 Hours to complete
Data Visualization with Tableau
Module 3 · 8 Hours to complete
Dynamic Data Manipulation and Presentation in Tableau
Module 4 · 6 Hours to complete
Your Communication Toolbox: Visualizations, Logic, and Stories
Module 5 · 3 Hours to complete
Final Project
Module 6 · 3 Hours to complete
Fee Structure
Instructors
Executive in Residence and Director of Quantitative Modeling at Duke University
Daniel Egger is an accomplished Executive in Residence and Director of the Center for Quantitative Modeling at Duke University, with over seventeen years of experience in creating innovative software products and services. As the founder and CEO of several venture-backed technology companies, he has a strong background in entrepreneurship and venture capital, having also served as a Managing Partner in a venture capital fund. Since 2003, Daniel has taught courses in entrepreneurship and venture capital at Duke's Master of Engineering Management Program, where he has played a key role in developing the curriculum. He was previously the Howard Johnson Foundation Entrepreneur-in-Residence in Duke’s Markets and Management Program for undergraduates. In addition to his teaching responsibilities, Daniel is committed to online education, with his data science courses on Coursera reaching over 400,000 students globally. His extensive experience and dedication to education position him as a significant contributor to the fields of engineering management and quantitative modeling.
Neuroscientist and Advocate for Ethical AI Development
Dr. Jana Schaich Borg is an Assistant Research Professor at Duke University, specializing in neuroscience and social cognition. She earned her Ph.D. in Neuroscience from Stanford University and focuses on developing innovative methods to infer network properties from high-dimensional multi-modal neural data. Her research explores critical areas such as social behavior, empathy, and moral decision-making, positioning her as a leading figure in the intersection of neuroscience and artificial intelligence. Dr. Schaich Borg is actively involved in interdisciplinary teams that leverage cutting-edge technologies to tackle complex challenges in understanding human behavior. She advocates for training programs that equip scientists to apply their research to real-world issues and educates entrepreneurs on supporting structures that foster disruptive innovation in biomedical science. Her commitment to ensuring that big data contributes positively to society drives her current projects, which include developing moral artificial intelligences and understanding the role of social synchrony in mental health. Through her work, Dr. Schaich Borg aims to bridge the gap between human values and AI development, ensuring ethical considerations are central to technological advancements.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.7 course rating
3,197 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.