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Data Viz Using Tableau & Presenting With Storytelling

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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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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace

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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Assessments

7 assignments

Taught in English

Build your subject-matter expertise

This course is part of the How to Use Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

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.

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

14 videos•Total 45 minutes
  • How to Use Data - Specialization Intro•6 minutes
  • Data Visualization Using Tableau & Presenting With Storytelling - Course Intro•2 minutes
  • About The Instructor•2 minutes
  • Module 1 Intro: Data Visualization and Tableau•1 minute
  • Data Visualization and Tools•6 minutes
  • 💻 Coding Demo: Intro to Tableau Interface•6 minutes
  • Concepts and Principles of Data Visualization •4 minutes
  • One-Dimensional and Time Series Visualizations•2 minutes
  • 💻 Coding Demo: One-Dimensional Visualizations - Bar Charts 💻•2 minutes
  • 💻 Coding Demo: One-Dimensional Visualizations - Line Charts 💻•2 minutes
  • 💻 Coding Demo: One-Dimensional Visualizations - Histograms 💻•3 minutes
  • 💻 Coding Demo: One-Dimensional Visualizations - Pie Charts 💻•1 minute
  • 💻 Coding Demo: Time Series Visualizations - Area Charts 💻•1 minute
  • 💻 Coding Demo: Time Series Visualizations - Gantt Charts 💻•5 minutes
4 readings•Total 51 minutes
  • Module 1 Resources•10 minutes
  • Handbook for Tableau•10 minutes
  • Analyze the Superstore (Part 1)•30 minutes
  • Opt-in to Penn Engineering Online Communications•1 minute
2 assignments•Total 80 minutes
  • Learning Check - Data Visualization and Tableau•30 minutes
  • Assignment 1 - Analyze the Superstore (Part 1)•50 minutes

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

7 videos•Total 15 minutes
  • Module 2 Intro: Multi-Dimensional Visualizations and Complex Relationships•1 minute
  • Multi-Dimensional Visualizations & Spatial Relationships•2 minutes
  • 💻 Coding Demo: Multi-Dimensional Visualizations - Scatterplots 💻•2 minutes
  • 💻 Coding Demo: Multi-Dimensional Visualizations - Heatmaps 💻•2 minutes
  • 💻 Coding Demo: Visualizing Spatial Relationships - Maps 💻•3 minutes
  • Multi-table Analysis •2 minutes
  • 💻 Coding Demo: Tableau Relationships 💻•2 minutes
5 readings•Total 65 minutes
  • Module 2 Resources•10 minutes
  • Handbook for Tableau•10 minutes
  • Multi-table Analysis•10 minutes
  • Analyze the Superstore (Part 2)•30 minutes
  • Additional Resources on Data Storytelling•5 minutes
2 assignments•Total 65 minutes
  • Learning Check - Multi-Dimensional Visualizations and Complex Relationships•30 minutes
  • Assignment 2 - Analyze the Superstore (Part 2)•35 minutes

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

11 videos•Total 27 minutes
  • Module 3 Intro: Presentation of Insights & Data Storytelling•1 minute
  • Intro: Intro to Analyzing and Interpreting Results •1 minute
  • Analyzing and Interpreting Results•1 minute
  • Creating Effective Data Analytics Presentations •1 minute
  • Communicating Data Insights Effectively to Stakeholders •1 minute
  • Best Practices for Storytelling •4 minutes
  • Presentation Introduction •1 minute
  • Background & Approach•4 minutes
  • Categorizing Non-converters into Converter Lookalikes, Likely Converters, and Others•4 minutes
  • Model Results •7 minutes
  • How to Use Data - Closing Comments•2 minutes
5 readings•Total 33 minutes
  • Module 3 Resources•10 minutes
  • Case Study: Best Practices for Presenting & Storytelling•10 minutes
  • Opt-in to Penn Engineering Online Communications•1 minute
  • Introduction to the Hearst Student Presentation•2 minutes
  • Hearst Presentation (Possible Answers)•10 minutes
3 assignments•Total 65 minutes
  • Self-Evaluation•5 minutes
  • Learning Check - Analyzing and Interpreting Results•30 minutes
  • Learning Check - Presentation of Insights and Data Storytelling•30 minutes
1 discussion prompt•Total 25 minutes
  • Hearst Presentation•25 minutes

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Instructor

University of Pennsylvania
10 Courses•179,276 learners

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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