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There are 4 modules in this course
In this course, you’ll learn to communicate insights in ways that drive real decisions. You’ll explore how to choose the right format to present your findings and tailor your message to technical and non-technical audiences.
You’ll start by learning how to craft data stories that provide context and align with business goals. Then, you’ll apply those skills by designing clear, effective charts that highlight a single insight. Next, you’ll build interactive dashboards in Tableau using features like annotations, tooltips, and “Show Me.” These skills transfer easily to tools like Power BI and Looker Studio. In the final module, you’ll prepare for the job search: analyzing roles, tailoring your resume and portfolio, building your network, and getting ready for interviews.
Throughout the course, you’ll practice applying these skills to realistic business scenarios so you’re ready to share insights that influence decisions.
This module explores the art and strategy of data storytelling, an essential skill for communicating insights effectively in business and technical contexts. You'll learn how data storytelling differs from traditional reporting by focusing on narrative, context, and audience engagement. Through hands-on practice, you'll develop data stories with a clear arc, highlight key findings, and tailor your message to different formats including memos, dashboards, notebooks, and slide decks. You'll also learn how to document your work clearly with elements like data sources, refresh dates, and version control to build trust and transparency with stakeholders.
What's included
14 videos3 readings5 assignments1 ungraded lab
Show info about module content
14 videos•Total 52 minutes
Welcome to this course!•4 minutes
Module 1 introduction•1 minute
From technical skills to business value•4 minutes
Data storytelling•4 minutes
Crafting a narrative•5 minutes
Identifying your main conclusion•3 minutes
Choosing supporting evidence•5 minutes
Ordering evidence•2 minutes
Designing your report•3 minutes
Getting feedback on your report•6 minutes
Creating a memo•4 minutes
Creating a notebook•3 minutes
Creating a slide deck•5 minutes
Creating appendices•3 minutes
3 readings•Total 13 minutes
Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!•2 minutes
Comparing two reports•10 minutes
Module 1 lecture notes•1 minute
5 assignments•Total 90 minutes
Lesson 1 quiz•5 minutes
Lesson 2 quiz•5 minutes
Lesson 3 quiz•5 minutes
Module 1 quiz•30 minutes
Opening a Coffee Shop in NYC - Memo•45 minutes
1 ungraded lab•Total 60 minutes
Opening a Coffee Shop in NYC - Coworker's Notebook•60 minutes
Creating charts with Tableau
Module 2•5 hours to complete
Module details
This module introduces the principles of effective data visualization and reporting using Tableau. You’ll begin by creating a Tableau Public account and building your first workbook. Then, through guided practice and scenario-based exercises, you’ll learn to choose the right type of insight and visualization—such as line charts, heat maps, or geographic plots—to match your audience and goals. You’ll also explore how to write clear summaries that highlight key findings and support decision-making. Finally, you'll apply design best practices for color, typography, and layout, including how to align with brand guidelines to create visually consistent and impactful reports.
What's included
17 videos9 readings6 assignments
Show info about module content
17 videos•Total 64 minutes
Module 2 introduction•1 minute
Introduction to Tableau•4 minutes
Creating a new workbook•4 minutes
Setting up your data model•4 minutes
Creating aggregated charts•4 minutes
Calculated fields•4 minutes
Creating disaggregated charts•4 minutes
Data encoding•5 minutes
Filtering & sorting•3 minutes
Labels and annotations•5 minutes
Tooltips•4 minutes
Dates & hierarchies•5 minutes
Visualizing time series•4 minutes
Pie & donut charts•5 minutes
Maps•3 minutes
Tables•4 minutes
Heatmaps•3 minutes
9 readings•Total 152 minutes
Creating a Tableau public account•10 minutes
Module 2 demo workbooks•1 minute
Calculated fields•10 minutes
Practice Lab: Diabetes Care Analytics - Introduction to Tableau•30 minutes
Practice Lab: Diabetes Care Analytics - Chart Enhancements•30 minutes
Practice Lab: Diabetes Preventable Hospitalizations•30 minutes
Practice Lab: Diabetes Care Analytics - Advanced Chart Types•30 minutes
Global Agricultural Trade Analysis: Instructions•10 minutes
Module 2 lecture notes•1 minute
6 assignments•Total 80 minutes
Lesson 1 quiz•5 minutes
Lesson 2 quiz•5 minutes
Lesson 3 quiz•5 minutes
Lesson 4 quiz•5 minutes
Module 2 quiz•30 minutes
Global Agricultural Trade Analysis: Quiz•30 minutes
Creating dashboards & stories with Tableau
Module 3•4 hours to complete
Module details
In this module, you'll build a strong foundation in data visualization and dashboard creation, with a focus on using Tableau effectively. You’ll start by exploring key features of Tableau and other common visualization tools, then move on to best practices in dashboard design and delivery formats such as subscriptions, scheduled reports, and interactive dashboards. You'll gain hands-on experience connecting to data from one or more tables, using joins and unions, and distinguishing between dimensions and measures. You’ll also perform data transformations with basic calculations and field edits. To support the design process, you’ll create mock-ups and wireframes, and then bring them to life by building a variety of static and interactive visualizations in Tableau—ranging from bar and pie charts to tree maps and dual-axis maps. Finally, you’ll add filters and tooltips, optimize dashboard performance, and deploy your work to ensure accessibility across platforms.
What's included
12 videos6 readings6 assignments
Show info about module content
12 videos•Total 44 minutes
Module 3 introduction•1 minute
Introduction to dashboards•3 minutes
Components of a dashboard•5 minutes
Selecting insights for a dashboard•4 minutes
Dashboards: the good & the better•5 minutes
Creating a dashboard in Tableau•5 minutes
Layout design•4 minutes
Actions•5 minutes
Publishing a dashboard•3 minutes
Gaining adoption for your dashboard•4 minutes
Creating a linear story•3 minutes
Creating a nonlinear story•3 minutes
6 readings•Total 62 minutes
Module 3 demo workbook•1 minute
Optimizing dashboard performance•10 minutes
Practice Lab: Diabetes Care Analytics - Creating dashboards•30 minutes
Global Agricultural Trade Analysis: Story Telling - Instructions•10 minutes
This module guides you through the key stages of the job search process, from identifying opportunities to succeeding in interviews. You'll learn to interpret job listings, distinguish between hard and soft requirements, and apply strategies for finding roles that align with your skills. You'll explore the importance of networking and how to build professional connections both online and in person. The module also covers optimizing your LinkedIn profile, crafting resumes with strong bullet points and formatting, and creating a compelling portfolio that highlights your data analytics work. You’ll leverage generative AI tools to tailor application materials and practice interview techniques using the STAR method and simulation tools—preparing you to confidently pursue a career in data analytics.
What's included
7 videos17 readings5 assignments
Show info about module content
7 videos•Total 22 minutes
Module 4 introduction•1 minute
The job search process•4 minutes
Searching for jobs•5 minutes
Networking•3 minutes
Resumes & portfolios•4 minutes
Interviews•5 minutes
Your next steps•1 minute
17 readings•Total 131 minutes
People of the job search process•5 minutes
Steps of the job search•10 minutes
Hard and soft requirements•10 minutes
Example job listings•5 minutes
Networking strategies•10 minutes
Your first resume•10 minutes
Writing resume bullet points•10 minutes
Resume design•10 minutes
Example resumes•10 minutes
Using generative AI to tailor your resume•5 minutes
Example portfolios•5 minutes
Practice interview questions•10 minutes
The STAR method•10 minutes
Interview practice software•10 minutes
Module 4 lecture notes•1 minute
Acknowledgments•5 minutes
(Optional) Opportunity to Mentor Other Learners•5 minutes
5 assignments•Total 50 minutes
Lesson 1 quiz•5 minutes
Lesson 2 quiz•5 minutes
Lesson 3 quiz•5 minutes
Lesson 4 quiz•5 minutes
Module 4 quiz•30 minutes
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Learner reviews
4.8
31 reviews
5 stars
90.32%
4 stars
6.45%
3 stars
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3.22%
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NR
5·
Reviewed on Jul 1, 2025
A wonderful course which introduces key concepts and give practical insights. Highly recommended for professionals as well as fresh graduates.
S
SA
5·
Reviewed on Feb 28, 2026
It is a wonderful course that balances theory and application, Sean Barnes is a great instructor. The quality is great just invest the time and effort to reap the most out of it.
M
MN
5·
Reviewed on Jul 7, 2025
Thorough dive into the use and application of Tableau for data visualization and Data Story Telling. I completely enjoyed the class, and I highly recommend it.
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When you enroll in the course, you get access to all of the courses in the Certificate, 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.