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Tableau for Data Analysis & Visualization


(4 ratings)


7 Weeks


Cohort-based Course

Learn the gold standard data analysis and visualization software from a successful Tableau developer and Tableau Ambassador.

Course overview

Create engaging business dashboards that deliver actionable insights

Analytics and Communication are two of LinkedIn's ten Most In-Demand Skills for 2023. Data visualizations communicate analytical insights in an easily consumable format, and Tableau is the gold-standard no-code business intelligence software for creating engaging, aesthetically pleasing, and insightful dashboards.

Who is this course for?


Data analysts or aspiring data analysts looking to learn the industry's best BI tool & Power BI, Qlik, or Looker users who want to upskill.


Individuals who need to persuade stakeholders or clients. It's hard to ignore compelling data.


Individuals preparing for the Tableau Desktop Specialist or Tableau Data Analyst certification exams.

What you’ll get out of this course

A portfolio of data visualizations to share with potential employers.

Each week after week one, we'll work through a real-world data visualization use case that will culminate in a professional quality dashboard you'll share in your new Tableau Public portfolio.

Readiness for the Tableau Desktop Specialist and Tableau Data Analyst certification exams.

The Tableau Desktop Specialist certification, along with your portfolio, will demonstrate essential data analysis and visualization competencies to potential employers and boost your confidence going into job interviews.

A personalized plan for next steps in your career.

In addition to a group resume and portfolio development session, we'll chat one-on-one to clarify your career goals and you'll finish the course with a specific, actionable plan for achieving them in a realistic timeframe.

Confidence in your ability to understand and explain data and make recommendations based on your insights.

We'll practice uncovering insights in real-world datasets and communicating them in writing, through visualization, and verbally. You'll be ready for any job interview scenarios that might come your way, too.

Course syllabus


Hello, Tableau!

This module is all about getting set up for success. You'll download Tableau Public, create a Tableau Public profile, and learn how to create bar charts, line charts, treemaps, scatterplots, and histograms. More importantly, you'll learn to decide when to use each chart type. I'll introduce data visualization best practices, ethical considerations


The Tableau Environment

In this module, you'll learn:

  • How to connect to various data sources and access integrations via the Data Source Page
  • How to navigate the Tableau Workspace, use cards and shelves, and learn the differences between sheets, dashboards, and stories.
  • How to use the Show Me menu to create quick charts.


The Tableau Data Model and Data Prep

In this module, you'll learn:

  • How to clean and transform your data so it's easier to work with in Tableau.
  • How to combine data sources with relationships, joins, unions, and blends.

Meet your instructor

Nicole Mark

Nicole Mark

A naturally visual learner and communicator, Nicole created her first visualizations—maps of real and imaginary worlds—in MacPaint on her family's original Apple Macintosh. (Yes, the beige one.)

Now, she analyzes and visualizes data in Tableau and with code—on a Mac, of course! She puts her English degree and love of writing to work in her blog, SELECT * FROM data;, leads Women in Dataviz, is a Tableau Social Ambassador, and co-leads the Healthcare Tableau User Group and Tampa Bay Tableau User Group.

In 2023, she was nominated for three Vizzie awards Her work has been selected for Tableau's Viz of the Day twice, and she is featured in the 2023 Tableau Conference Viz Gallery. Nicole recently won the Stats+Stories Data Visualization Contest.

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Course schedule

4-6 hours per week
  • Six 2-hour Live Sessions

    Fridays, 2:30-4:30 PM EST

    On Friday afternoons, I'll present the material for the module, demonstrate the techniques involved, describe the module's assignment, and provide additional resources as needed. Live Q&A









  • Optional Office Hours: Wednesday evenings and by appointment

    Wednesdays, 6:30pm - 8:00 PM EST

    For the duration of the course, I'll be available to answer your questions each Wednesday evening. I'll help troubleshoot, brainstorm, provide feedback, and cover topics out of the scope of the main course content. Not recorded.

  • Portfolio and Resume Review Workshop (optional, but encouraged)

    Sunday, 12/3/2023, noon - 2 PM EST

    A retrospective look at what you've accomplished in the course. Each student who wants to participate will receive both instructor and peer feedback and provide feedback to peers on their portfolio projects and resume.

Free resource

The Ultimate Data Visualization Pre-Publication Checklist

Have you ever published a Tableau workbook and and later realized that your tooltips contain the names of your calcs? Did a kind colleague alert you to a spelling error? Does your audience seem confused by what action they should take based on your analysis?

You need a checklist! Even seasoned pros occasionally publish a viz or dashboard and miss one of the many final details required for your audience to unequivocally trust your analysis and for your work to look as polished as possible.

Get the checklist I use personally before publishing my work!

Get this free resource

Hands-on practice + a community of peers + instruction from a recognized expert

Hands-on practice + a community of peers + instruction from a recognized expert

Hands-on practice from day 1

This course builds on live workshops and hands-on projects with optional office hours to set you up for the greatest success possible

Interactive and project-based

You’ll be interacting with other learners in live sessions and in the online community

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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Tableau for Data Analysis & Visualization


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