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Data Science in enterprise: real-world challenges, models, and technologies

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We are launching a series of webinars with practicing experts from the Data Science and Machine Learning industry for students of the Data Science & ML program.

Industry experts will tell you:

- what do DS/ML engineers actually do in companies;

- what tasks do they solve;

- what models, technologies and tools are used in production;

- what skills and experience are needed to build a career in the DS/ML field.

This is a great opportunity to learn the practical side of the profession, ask experts questions and understand what working with data looks like in real projects.

, Webinar topic:
“Data Science in Enterprise: Real-world challenges, models, and technologies”

We will discuss it at the webinar:
 • What tasks do Data Scientists solve in large companies?
 • Real-world cases from the financial industry
 • which models are used for different tasks
(risk scoring, churn prediction, recommendation systems)
 • technology stack: SQL, Python, Spark, ML frameworks
 • how the data pipeline is built in enterprise
 • what skills are really needed for a career as a Data Scientist

Invited speaker:

Bakytzhan Sarsembayev - Chief Expert on Data Analytics and Processing - Freedom Holding Corp.

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