Event

Information Session: Data Analytics for Business Professionals

Join us on August 19 to learn how our data analytics certificate can introduce you to an analytical framework that will help you solve real-world challenges.

Aug 19
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Students walking on the UChicago campus in Spring

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About the Event

The Data Analytics for Business Professionals (DABP) certificate incorporates hands-on exposure to the most relevant and popular data science tools, in a digestible and manageable way for those without prior hands-on coding experience. This online certificate is designed to improve the evidence-based decision-making skills of business professionals. Our classes combine case studies with statistical software tools, training students to make business analytics decisions backed by facts and data. Please join us for an online information session to hear about application requirements, curriculum, and more. 

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Speaking at the event

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Oleg Melnikov, Data Science for Business Professionals instructor

Oleg Melnikov, MS, MBA

Lead Data Scientist, ShareThis Inc.

Oleg Melnikov currently leads the data science team at ShareThis, Inc. in Palo Alto. He has decades of experience in mathematical and statistical research, teaching, finance (portfolio management and security analysis,) ad tech, databases, and software development.

His academic path started with a BS in Computer Science. Now, he holds an MS in computer science (machine learning track) from the Georgia Institute of Technology, an MS in mathematics from the University of California-Irvine (where he was in a math PhD program), an MS in statistics from Rice University, and an MBA from UCLA.

He has taught graduate-level statistical inference and statistical learning at Stanford University, graduate-level quantitative financial risk management courses at Rice, and was a lead TA for various courses in mathematics, statistics, and time series.

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Alena Lukina, MS, Data Analytics instructor

Alena Lukina, MS

Data Scientist, Zurich

Alena Lukina has over four years of experience in analytical and data science fields. She currently works as a Data Scientist in the Data and Analytics department of the global insurance company, Zurich. At Zurich she applies a wide range of analytical and modeling techniques to unveil risk insights on a daily basis. She holds a Master of Science in Analytics degree from the University of Chicago as well as Honors Bachelor Degree in Economics from Moscow State University. For more than three years Lukina has participated in teaching the whole spectrum of courses offered by Data Analytics for Business Professionals program at the University of Chicago. Among the topics taught are Statistical Modeling and Machine Learning Techniques, Python, R, SQL, Tableau.

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