DATA VISUALIZATION | A live online course with a Chief Analytics Evangelist at Google | ELVTR

LIVE ONLINE COURSE

DATA VISUALIZATION

Dates: 17 JAN 2023 - 23 FEB 2023
Duration: 6 WEEKS TUESDAYS & THURSDAYS 5 PM PST / 8 PM EST
KEVIN HARTMAN
GOOGLE
lector photo

LIVE ONLINE COURSE

ENROLL
LIVE ONLINE COURSE
ON GIVING MEANING
TO COMPLEX DATA
Dates:
17 JAN 2023 - 23 FEB 2023
Duration:
6 WEEKS
TUESDAYS & THURSDAYS
5 PM PST / 8 PM EST

Learn how to unlock value from data with crystal clear visualizations — and create an end-to-end data story for a real business!

Join Kevin Hartman, Google, for this hands-on exploration of effective data visualization and storytelling.

 

THIS COURSE IS FOR YOU, IF…

  • YOU WANT TO TELL DATA STORIES FROM END TO END

     

    Learn how to plan out a story you want to tell, identify the data you will need, analyze data and find patterns. Start getting the most out of data viz tools to create clear, effective visuals for your audience.

  • YOU WANT TO PRESENT DATA

     

    Discover the role of dashboards and other tools for communicating data insights effectively. Practice presenting your own data story, backed up by supporting evidence.

  • YOU WANT TO BUILD ADVANCED VISUALIZATIONS

     

    How do the other guys get their dataviz to look so good? Learn how to leverage advanced tools like R Studio and Jupyter Notebook (Python) to tell compelling data stories.

Your Ascent Starts Here

Wouldn't it be great if the data really did speak for itself?

But since you know it doesn't, why not get help landing the right data message from a Google data leader?

This course teaches expert approaches to visualizing patterns in data and coaxing out clear stories that stand up to scrutiny. You'll finish with a client-ready dataviz, dashboard, and presentation.

Online learning never felt so personal.

Learn data visualization in the course that combines live instruction from a proven analytics leader with live labs and instructor office hours!

 
ABOUT THE COURSE
1 Real Business
Case Study
Start working on real business cases before you've even left the classroom. You'll develop your skills during the course by analyzing and tackling real-world data questions.
3 Portfolio
Projects
Add punch to your resumé with a client-ready exploration analysis, dataviz, and dashboard. Oh, and you'll pitch your data story to Google's Chief Analytics Evangelist, too.
3 Labs & 6  Tools

Upgrade your technical skills with live training. This course lets you add to your toolbox requisite tools for professional data visualization like Excel, mySQL, R Studio, Jupyter Notebook, and Tableau.

Instructor
 
KEVIN
HARTMAN
LinkedIn Profile
  • Chief Analytics Evangelist, Google

  • Over 20 years of experience helping leading organizations get meaning from data

  • 6-time winner of the Advertising Research Foundation Ogilvy Award

  • Oversaw the design of marketing insights and strategies behind campaigns that earned 5 Cannes Lions, 5 Effies, over 50 Tempos, and dozens of other awards

  • Noted speaker and author of Digital Marketing Analytics: In Theory And In Practice (2020)
Kevin Hartman
KEVIN HARTMAN
COURSE INTRODUCTION
SYLLABUS
01
TUE (1/17) at 5 PM PST/8 PM EST
Why Data Storytelling Matters

Get introduced to the major pillars of successful data visualization.

  • Introducing data visualization
  • Why this skill?
  • Major frameworks
  • Major tools

Assignment #01: Explore the provided dataset for Divvy. What stories do you anticipate unlocking here?

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02
THU (1/19) at 5 PM PST/8 PM EST
Planning a Data Story

Learn how to create a planning guide for yourself and other analysts before starting a visualization.

  • Building a successful data story
  • Minto Pyramid Principle
  • In-class exercise: Planning a data story for Divvy

Assignment #02: Data Story Plan
Use the provided dataset to help Divvy rebalance their bike system, or tackle your own business challenge. Your deliverable will be a Minto-style plan for your data story.

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03
TUE (1/24) at 5 PM PST/8 PM EST
Finding Stories  Through Exploratory Data Analysis

Get familiar with software tools used to analyze data for patterns indicating the presence of a story.

  • Preparing data for analysis with Excel, SQL, and R/Python
  • Finding patterns in data
  • Converting plans to story outlines
  • In-class exercise: Interpreting patterns in Divvy visuals

Assignment #03: Respond to the provided questions to better understand your organization's data analysis priorities and opportunities.

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04
THU (1/26) at 5 PM PST/8 PM EST
Conducting Advanced Exploratory Data Analysis

Kevin explains how software tools R and Python are used to reveal and visualize sophisticated patterns in complex data.

  • Understanding data visualization in R
  • Understanding data visualization in Python
  • Advanced data visualization techniques
  • In-class exercise: Interpreting patterns in advanced Divvy visuals

Assignment #04: Produce a data visualization based on a provided Divvy dataset (or, use data from your own company) using R or Python.

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05
TUE (1/31) at 5 PM PST/8 PM EST
Lab #1: Exploratory Data Analysis

Use software tools (including SQL, Google Sheets, Tableau, and R) to gather and analyze data from the Divvy database. You will first perform exploratory data analysis to look for patterns in Divvy data that indicate the presence of a story. Then, you will use visuals to inform their interpretation of the Key Questions in a plan. Convert your plan into a solid outline for a data story.

Assignment #05: Exploratory Data Analysis
Refer to the Divvy case study and database to analyze data for patterns indicating the presence of a story. Use the tools demoed in class to create exploratory analysis charts.

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06
THU (2/2) at 5 PM PST/8 PM EST
Client-Ready Dataviz, Part 1: Contrast

Understand a framework for evaluating dataviz and the first pillar of that framework: the sophisticated use of contrast.

  • Brain science & visual interpretation basics
  • The components of good visual form
  • Understanding contrast in dataviz
  • In-class exercise: Improving the use of contrast in data visualizations
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07
TUE (2/7) at 5 PM PST/8 PM EST
Client-Ready Dataviz, Part 2: Clear Meaning

Understand the second pillar of the framework for evaluating dataviz, clear meaning, and learn how to spot and counter bad practices that lead to the manipulation of a chart’s meaning.

  • What makes clear meaning in dataviz
  • Spotting bad dataviz: Biases and manipulations
  • In-class exercise: Improving unclear data visualizations
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08
THU (2/9) at 5 PM PST/8 PM EST
Client-Ready Dataviz, Part 3: Refined Execution

Understand the third and final pillar of the framework for evaluating dataviz, refined execution.

  • Refined execution in dataviz
  • Why prioritize?
  • In-class exercise: Improving refined execution in data visualizations
  • In-class exercise: Improving all elements of good dataviz

Assignment #06: Evaluate a provided Divvy dataviz (or, alternatively, a dataviz from work at your own company) using the framework introduced during lecture. Offer recommendations for how the dataviz can be improved.

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09
TUE (2/14) at 5 PM PST/8 PM EST
Lab #2: Creating Client-Ready Dataviz

This lab focuses on converting the efficiently generated, yet visually lacking, visuals produced during the Exploratory Data Analysis lab into “client-ready” visualizations that effortlessly communicate insight.

 

You will be challenged to demonstrate a sophisticated use of contrast to attract the audience’s attention to important patterns in the data. Use this technique to create a clear expression of meaning through the effective use of common chart elements, and a level of refined execution that minimizes distractions.

 

Then, generate visuals using tools including Excel, R, Tableau, and/or Power BI. A presentation software, such as Google Slides, PowerPoint, or Keynote, will serve as the canvas for your output.

Assignment #07: Client-ready Dataviz
Start working on your presentation for the Divvy executive team. Use the provided data set to create a series of client-ready charts from provided Divvy data (or, alternatively, data from your own company).

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10
THU (2/16) at 5 PM PST/8 PM EST
Presenting Information with Conviction & Persuasion

Learn the skills needed to effectively present dataviz and persuade stakeholders at every level of the organization.

  • The ‘McCandless Method’ of data storytelling
  • Stakeholders needs & methods of persuasion
  • Ensuring a successful presentation
  • In-class exercise: Writing a ‘McCandless Method’-style narrative for a dataviz

Assignment #08: Data Storytelling Presentation Practice
Write a McCandless Method-style narrative for one of the dataviz you've created for the Divvy executive team (or, alternatively, a dataviz you created from your own company’s data). Record yourself presenting the narrative and submit to Kevin for feedback.

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11
TUE (2/21) at 5 PM PST/8 PM EST
Building Dashboards

Understand the fundamentals of good dashboard design and approaches used to create dashboards in popular tools like Tableau and Power BI.

  • Dashboard fundamentals
  • Tableau & Power BI for dashboards
  • Understanding the proper role dashboards should play
  • Building a communication plan around the dashboard
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12
THU (2/23) at 5 PM PST/8 PM EST
Lab #3: Creating Dashboards

In this lab, you'll gain a practical understanding of the proper (and improper) use of dashboards, as well as the basics elements of effective dashboard design. Get hands-on with Tableau or Power BI to build a dashboard and apply the rules of effective dashboard design to create a “client-ready” deliverable for Divvy.

Assignment #09: Dashboard
The Divvy executive team believes it's important to stay on top of the patterns and trends you've found in the data. Bring together all the work you've done so far to create a dashboard for Divvy built in Tableau, Power BI, or another dashboarding tool of your choice.

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Course Project Samples
 
1 / 4
MAHUA GHOSH
 
1 / 4
RACHEL MORAN
 
1 / 4
ERIC BEAUDIN
 
1 / 4
ANASTASIA PUOGNO
 
1 / 4
ADAM PUTZ
 
1 / 4
CHRISTOPHER MILL
 
1 / 4

What our students say

Beth Saunders Mysa

"I absolutely love the format! Working through real life scenarios makes it super applicable and easy to translate the learning into practical takeaways. I also enjoy that the assignments are straightforward enough to get through but you can make them more complex to get more learning out of the course. It really is a format where you get out what you put in"

Grace Chan Ricoh Canada Inc

"Kevin Hartman is a very dynamic instructor with a wealth of knowledge. He is also very helpful and personable. Even after the first class I found myself looking at data from a completely different lens."

Kevin H. Olson ECS Federal

"Instructor is knowledgeable and very involved. Treats everyone fairly. Divvy scenario has interesting aspects to explore."

Genevieve Wheeler Air Canada

"Professors knowledge and passion about the material and subject matter. Enjoy positive energy when his is speaking. Very motivating."

Rachel Moran

"Info is presented in a way that allows me to apply it to my own career."

 
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