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    Back to People Analytics

    Learner Reviews & Feedback for People Analytics by University of Pennsylvania

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.6
    stars
    6,090 ratings

    About the Course

    People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about
    their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on
    experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will
    explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at
    cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such...
    ...

    Top reviews

    AA

    Dec 21, 2018

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Thank you so much for this very helpful module! I hope you continue to inspire HR professionals around the world to use HR Analytics as an important means to drive organizational-related decisions.

    MK

    Feb 7, 2016

    Filled StarFilled StarFilled StarFilled StarFilled Star

    I was expecting a lot from this course. from basic to advanced and more of fundamentals. this course should be floated as full specialization rather than as a part of other specialization.

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    751 - 775 of 1,138 Reviews for People Analytics

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    Dec 16, 2021

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    By Angana B

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    Jun 16, 2016

    The course was very informational. A lot of the concepts were new but very practical, as much as were the typical theories we deal with everyday in our corporate lives.

    As much as I appreciate the course content, I had expected more metrics to be discussed, more maths, more problem solving, a session on a set of metrics, formulae, some business cases as a part of evaluation would have been more realistic. I deal with lot of analytics and numbers always. I do a set number of things. I was expecting the professors to guide us on more number crunching techniques with say, an excel of data of say 1000 employees. How do we play around with such data - which is what I do. And a thorough insight on such would have been amazing.

    I hope my feedback is taken into consideration in a positive light. I loved your sessions, and would love to join in the future again, and it would be really helpful if you could guide us in some of the ways I tried to explain.

    Thank once again.

    Best

    angana

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