[Webinar Recording] Using Excel for research data analysis?! There's a better way.

Presented by Displayr

Do you use Excel to create pivot tables, perform T-tests, regression and make charts? Are you sick of drowning in broken formulas and anxiously searching for meaning amongst thousands of numbers?

TAKE A DEEP BREATH.

It’s time to (ex)celerate out of this mess. ;)

Easier to use than SPSS. Sexier than PowerPoint. More flexible and advanced than Excel. Online and interactive. Jump into the future of market research with Displayr. 

Discover the world beyond Excel.

View the recording.

You will walk away from this webinar able to:

  • Tackle survey data like never before
  •  Save so much time and effort with automation (good-bye headache inducing spreadsheets!)
  • Reduce your error rate.
  • Open a world of new possibilities with advanced stat testing and data viz

P.S. Busy. Want to book in a one-on-one 15 min demo at a time that suits you instead?

Grab it here.

Speaker:

  Tim Bock, CEO and Founder, Displayr

Tim is the founder of Displayr and Q Research Software. As a data scientist he has worked to solve problems as diverse as neural networks, data fusion, IPO pricing and data visualization. He has led data science and market research projects for numerous companies including Coca Cola, ACNielsen, KFC, Unilever and Nestle.

Tim is passionate about solving problems and making market research and data science easier. Enter Q Research Software - a product designed to help market researchers tackle survey data and Displayr - the only complete data science and visualization platform on the planet. If you’re frustrated by Excel, don’t worry - he’s got the solution. 

 

 

 

 

 

 

 

 

Presented by

Displayr

Displayr

Software & Technology

LOCATION

Chicago, Illinois, United States

Featured Expert

Displayr

Software & Technology

Displayr is the complete AI-powered data workspace built for for market researchers.

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Connect all data easily

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Built-in expertise

Automate drudge work

Work together seamlessly

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