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:

  1. Visualization Process
  2. Visual Best Practices
  3. Real-World Application


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
  • Guidance from Edward Tufte
  • 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

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

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.

Select a pricing plan and sign up


Full Payment

3 payments of $99/m

Monthly Payment