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Designed to help make organizations

Data Driven

Product Leaders

Program managers and product managers that are focused on metrics like growth and revenue, and prioritization decisions

Data Scientists

Data Scientists and Data Science managers who help map strategic decisions to actionable experimental designs and then interpret the results in a trustworthy manner

The motivation and basics of A/B testing (e.g., causality, surprising examples, metrics, interpreting results, trust and pitfalls, Twyman’s law, A/A tests)
Cultural challenges, humbling results (e.g., failing often, pivoting, iterating), experimentation platform, institutional memory and meta-analysis, ethics
Hierarchy of evidence, Expected Value of Information (EVI), complementary techniques, risks in observational causal studies

Engineering Leaders

Engineering managers, directors, VPs, and CTOs who want to make their organizations data-driven with metrics and A/B tests

Safe deployments
Triggering, especially in evaluating machine learning models
The benefits of agile product development

Designed for Data Analysts, Data Scientists and Product Managers

who want to use charts to improve business oversight and spot opportunities to drive change

You will:
  • Understand the language of data visualization, and how it is as flexible and powerful as the written word
  • Create engaging dashboards that deliver key insights to the right people in the right format
  • Use data effectively in presentations, emails, and other media
You should:
  • Have a basic understanding of the fundamentals of data visualization (including pre-attentive attributes and basic chart types) and the principles of how data is collected, stored, and prepared before analysis
  • Have 1-2 months of experience with a data visualization tool and languages (e.g., Tableau, PowerBI, Excel, Google Data Studio, R, Python, d3, etc.)
  • Have an intermediate understanding of statistics (e.g., averages, regressions, clustering, distributions, etc.)

Learn live from a world-class

Instructor

Learn live from a world-class

Instructor

Andy Cotgreave is co-author of The Big Book of Dashboards, and Senior Data Evangelist at Tableau. He is the host of If Data Could Talk and Chart Chat, a video series about data culture and data visualization. He is also on the 2022 dataIQ Top 100 list of most influential people in data. 

With over 15 years of experience in the industry, he has inspired thousands of people with technical advice and ideas on how to identify trends in visual analytics and develop their own data-discovery skills.

Learn live from world-class

Instructors

Andy Cotgreave is co-author of The Big Book of Dashboards, and Senior Data Evangelist at Tableau. He is the host of If Data Could Talk and Chart Chat, a video series about data culture and data visualization. He is also on the 2022 dataIQ Top 100 list of most influential people in data. 

With over 15 years of experience in the industry, he has inspired thousands of people with technical advice and ideas on how to identify trends in visual analytics and develop their own data-discovery skills.

Recommended by

Industry Experts

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Expense
the cost

90% of our learners expense the full cost of our courses to their employer. This includes leading startups and enterprises alike.

Check Expense Approval At Your Company

Exclusive Content

to advance your business

Get access to exclusive content through live sessions, meetups and our Student Portal (even after you finish the cohort). Ask questions and get personal feedback directly from your instructors and others taking the course.

Join a diverse and experienced

Community

This cohort gives you access to a rich community of like-minded professionals from some of the best businesses in the world. Even after the course ends, you will continue to learn and build with each other.

About Andy's

Live Cohort

The last mile of data is how insights are communicated. Investing in data collection, storage, and analysis is pointless if the discoveries are not used to drive conversations that persuade others to make data-informed decisions. Doing this effectively is a superpower; when wielded correctly, data communicators tell effective stories where the design of charts seamlessly interlaces with the narrative. This is true whether the charts are in slide decks, dashboards, social media, or emails. In this course, you’ll learn how to marry data with design to create compelling, persuasive visuals. 

Session 1: Introduction: The 4 Levers of Data Communication

Tuesday, January 17, 2023
8-10 am PST
  • Construct charts that efficiently communicate the author’s intended message
  • Use the Four Tensions of Charts model when designing charts
  • Drive better decision making with charts that use persuasive (non-deceptive) techniques learnt from historical case studies
  • Critically assess any chart’s use of the four tensions by learning from COVID-19 case studies

Session 2: How Design Theory Helps Us Communicate With Data

Thursday, January 19, 2023
8-10 am PST
  • Apply Don Norman’s Three Levels of Processing model to your data communications, leading to a positive sentiment for your work
  • Use Tversky and Kahneman’s framing principles to create persuasive charts
  • Apply user experience models (flexibility/usability, affordances, layout) to your own dashboards in order to make insights easy to discover

Session 3: Communicating Data in Presentations

Tuesday, January 24, 2023
8-10 am PST
  • Describe the differences between charts for dashboards, presentations and reports
  • Build charts that are optimized for presentations
  • Use formatting tricks that focus your audience’s eyes on the right data, at the right time
  • Learn how NOT to present data based on all the mistakes Andy has made, and seen, in his career

Session 4: Communicating Data in Dashboards

Thursday, January 26, 2023
8-10 am PST
  • Create dashboards that enable your audience to make data-driven decisions quickly and efficiently
  • Improve usability of your dashboards using design theory, including layout, gestalt, affordances and signifiers, and BANs
  • Apply the unique approaches needed for different consumption methods of dashboards (e.g., screen, mobile, printed, email)

Session 5: Communicating Data Elsewhere

Tuesday, January 31, 2023
8-10 am PST
  • Build effective charts tailored for social media, email, or print
  • Practice the skills learned in order to continuously improve your understanding of the art and the science of data communication

Still have questions?

We’re here to help!

Do I have to attend all of the sessions live in real-time?

You don’t! We record every live session in the cohort and make each recording and the session slides available on our portal for you to access anytime.

Will I receive a certificate upon completion?

Each learner receives a certificate of completion, which is sent to you upon completion of the cohort (along with access to our Alumni portal!). Additionally, Sphere is listed as a school on LinkedIn so you can display your certificate in the Education section of your profile.

Is there homework?

Throughout the cohort, there may be take-home questions that pertain to subsequent sessions. These are optional, but allow you to engage more with the instructor and other cohort members!

Can I get the course fee reimbursed by my company?

While we cannot guarantee that your company will cover the cost of the cohort, we are accredited by the Continuing Professional Development (CPD) Standards Office, meaning many of our learners are able to expense the course via their company or team’s L&D budget. We even provide an email template you can use to request approval.

I have more questions, how can I get in touch?

Please reach out to us via our Contact Form with any questions. We’re here to help!

Book a time to talk with the Sphere team

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Learning Experience