Talk Data to Me - Partner Event with General Assembly

Learn about the business side of Data Science, not only why businesses care about data, but how Data Scientists can better communicate their work to add value to their organization.

Overview:

Listen to a panel of experts that range from hard core Data Scientists to business managers as they discuss how both sides of the business work together and why data, when presented well, can solve huge problems. For both budding and senior Data Scientists, crafting effective stories to communicate findings is always important.

A key to creating compelling data arguments that the business will immediately see value in is building one's own business acumen. Not only does a good Data Scientist need to understand which questions to ask and which problems to solve but they must also be able to show their results in a way that is meaningful to stake holders.

What You’ll Take Away:

• Learn how to communicate your findings in a way that is relevant to other parts of the business.

• Break through through the buzz and learn how local companies are incorporating Data Science into more parts of their operations.

• Understand how to effectively connect the dots and the "so what" of the problem you are trying to solve.

• Tips for creating a compelling story to show off your findings.

• Get some practical advice on how to become a Data Scientist yourself!

Why It Matters:

According to a Forbes article, “2017 will be the year big data goes mainstream … whether gathering data on the front end or making big decisions in the C-Suite, every single person in your organization must buy into the value [data] analytics brings”.

Dr. Robert Clewley (https://generalassemb.ly/instructors/dr-robert-clewley/6048)
Senior Data Science Manager, MailChimp

Amelia Martin (https://generalassemb.ly/instructors/amelia-martin/12455)
Data Applications Architect, Juice Analytics

Arvid Tchivzhel (https://generalassemb.ly/instructors/arvid-tchivzhel/14596)
Director of Product Development and Data Science, Mather Economics LLC