Data visualization is a crucial aspect of data analysis and decision-making in today's data-driven world. In this course, you will delve into the fascinating realm of data visualization and harness the power of Tableau, a leading data visualization tool. You'll learn how to transform raw data into insightful visuals that convey complex information effectively. This course will empower you to create compelling visualizations that aid in decision-making, storytelling, and conveying insights to both technical and non-technical stakeholders. Data analysis is only as impactful as your ability to communicate the findings to others. This course will equip you with the skills and techniques necessary to craft compelling data stories and deliver persuasive presentations that resonate with diverse audiences.
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Data Viz Using Tableau & Presenting With Storytelling
This course is part of How to Use Data Specialization
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Instructor: Brandon Krakowsky
Sponsored by Coursera Learning Team
Recommended experience
What you'll learn
Explore and interpret data through various visualization techniques, identifying trends, outliers, and patterns.
Create interactive and informative visualizations that enable data-driven decision-making and storytelling.
Analyze engaging and persuasive data presentations that captivate and inform stakeholders.
Details to know
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7 assignments
February 2025
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- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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There are 3 modules in this course
Learn the fundamentals of data visualization and explore Tableau, a leading tool in the industry. This module covers key concepts, best practices, and the creation of basic visualizations like one-dimensional and time-series charts. By the end, you'll be able to transform raw data into compelling visual stories.
What's included
14 videos4 readings2 assignments
Expand your skills with multidimensional visualizations and spatial analysis. Learn to use Tableau for multi-table analysis, manage relationships, and create advanced visualizations. This module prepares you to tackle complex data challenges with confidence.
What's included
7 videos5 readings2 assignments
In this module, we will embark on a journey into the realm of data storytelling and the art of presenting insights effectively. Data analysis is only as impactful as your ability to communicate the findings to others. This module is designed to equip you with the skills and techniques necessary to craft compelling data stories and deliver persuasive presentations that resonate with diverse audiences.
What's included
11 videos5 readings3 assignments1 discussion prompt
Instructor
![Brandon Krakowsky](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-instructor-photos.s3.amazonaws.com/f2/4a1c841d544e82885c12b314567aa9/Brandon-Krakowsky.jpg?auto=format%2Ccompress&dpr=1&w=75&h=75&fit=crop)
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Recommended if you're interested in Data Science
University of Pennsylvania
University of Pennsylvania
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