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Data Science for Beginners (3/3)

23 11月, 2022 | 11:00 午前 - 12:00 午後 (UTC) 協定世界時

形式:
ライブストリーム

トピック: データサイエンスと機械学習

言語: 英語

In this series of sessions, Hadeel will take you on a journey in the world of Data Science, where she will be taking you through vital concepts and principles to help you get started in this field.

Data Science is crucial in every sector, as companies, small and large, try to extract meaningful insights from the ever-growing volumes of big data. In this series, you will learn how to deal with the data, how you can get the data, how you can store the data, how you can process it, and how you can make sense of it.

By the end of this series, you will have learned basic principles and core concepts of Data Science, including ethical concepts, data preparation, different ways of working with data, data visualization, data analysis, real-world use cases and practical applications of data science, and many more.

· Who is it aimed at?

This session is aimed at anyone interested in learning about Data Science and its applications.

· Speaker: Hadeel Shubair

Hadeel is a Regional Cloud Advocate and Data Analytics Engineer for Microsoft, Middle East/Africa region. She holds a Master’s degree in Data Analytics and is passionate about learning and sharing her knowledge on tech topics including Data Analytics, AI, & ML. Before joining Microsoft, Hadeel held several appointments and roles including Google Women in Tech scholar through which she delivered several sessions to the community to motivate and empower young talents. Hadeel also served as part of the Data & Communications team overlooking the organization of the World Government Summit. On the other side, while at University, Hadeel chaired the Women in Engineering club, and was the Chief Editor of the Engineering Newsletter.

As a Cloud Advocate for the Microsoft Reactor, Hadeel’s main goal is to take you on a journey to understand & learn more about Data and AI concepts and applications. She's passionate about technology, education, & growing the Data & AI community across the region.

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