From product to marketing and customer service, many functions embrace data analytics. As technology evolves, there are numerous techniques and tools that help organizations put their data to effective use. But, in order for them to work successfully and yield positive outcomes, having a clear picture of the problems data would solve is quintessential.
Paolo Esquivel, Senior Data Scientist, Course Hero discusses one of the most important qualities organizations look for in a data analytics professional - problem definition. Learn this function by using data analytics to help improve your fantasy team's chances at winning.
Agenda for the session
- Identifying problems that data analytics could solve
- Developing a roadmap to execute data analytics solutions
- Data Analytics Essentials program experience
- Q and A session
About Speakers
Paolo Esquivel
Senior Data Scientist, Course Hero
Paolo Esquivel is a data science professional with close to a decade of experience in data science and analytics. He is currently a Senior Data Scientist at Course Hero, one of North America’s largest education technology platforms. His passion lies in helping organizations do more with their data and building solutions that convert it into actionable insights. With extensive experience in tech, banking and consulting domains he previously held positions with Uber, Lynx Analytics, and Truveris to name a few.
UT Austin’s Data Analytics Essentials Program
The three-month Data Analytics Essentials Program is designed by the McCombs School of Business at the University of Texas at Austin in collaboration with Great Learning. Lessons from world-renowned faculty at UT Austin, hands-on learning, and industry-expert mentorship sessions enable learners to acquire in-demand data analytics skills. Great Learning ensures end-to-end support with dedicated program support and career and portfolio-building sessions.