The most effective way to tell a story with your data is by visualizing it with a graph or chart. Data visualization provides opportunities to uncover patterns, correlations, and outliers, as well as communicate key insights to stakeholders and enable data-driven decision making. In this course, we cover three key areas:

Visualization Process

  • Introduction to data visualization
  • Data visualization process
  • Memory & cognitive load
  • Charts vs. graphs
  • Chart anatomy
  • Chart selector guide

Visual Best Practices

  • The need for visual best practices
  • Gestalt Principles
  • Reducing clutter and formatting
  • Effective use of color
  • Visual best practices checklist

Real World Application

  • Work through case studies to reinforce data visualization best practices
  • Applying what you learned

Watch this video to learn more about the course


Enrolling in the course provides you with:

  • Engaging video content with several examples
  • Quizzes to assess your knowledge retention
  • DATAcated® Visual Best Practices Checklist
  • DATAcated® Chart Selector Guide
  • Certificate of completion to demonstrate your dedication
  • Access to the DATAcated Academy Slack group

Select a pricing plan and sign up


Full Payment

Course Curriculum

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  Introduction to data visualization
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  Visual Best Practices
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  Real-World Application
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Frequently Asked Questions (FAQs)

Who is the course for? The course is for data analysts / data scientists that work with data and want to improve their data visualization skills. The course can be taken by both beginners and intermediate data analysts.

Is there a certificate? A certificate of completion will be issued upon successfully completing the course.

Is there a method of communicating with the instructor? Yes, there is a Slack group in which you can ask questions. In this group you can interact with both the instructor and the other participants.

What data visualization tools are required for this course? This course is product-agnostic; lessons learned here can be applied to data visualization with Tableau, Qlik, Power BI, R, Python, etc. 

NOTE: This course does NOT include tutorials on how to use data visualization tools.

How long do I have to complete a DATAcated Academy course? Courses are entirely on-demand, which means you can learn at your own pace. You can begin the course whenever you like, and there are no deadlines to complete it.

What language is the content delivered in? English

What is the refund policy? We want you to be satisfied, so all courses purchased on DATAcated Academy can be refunded within 30 days. For whatever reason, if you are unhappy with a course, you can request a refund. 

Still have questions? If you have any other questions about DATAcated Academy, you can contact support by clicking here.

Hi, I’m Kate Strachnyi. I'm really excited to be your instructor for the DATAcated Academy courses!

What I bring to every course is my extensive experience with data analysis and visualization tools - including Tableau, Power BI, Qlik, Looker, Sisense, R, Python, and more.

I believe that learning should be a FUN and pleasurable experience. This is why I built the DATAcated Academy.