Chevron Left
Back to People Analytics

Learner Reviews & Feedback for People Analytics by University of Pennsylvania

4.6
stars
6,085 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 as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too....

Top reviews

AA

Dec 22, 2018

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 8, 2016

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.

Filter by:

751 - 775 of 1,137 Reviews for People Analytics

By Kamran A

•

Dec 16, 2021

Thanks

By Nelson M C

•

Apr 13, 2021

great

By Manasvee M K

•

Dec 28, 2018

great

By Wan A b W M

•

Jul 4, 2016

great

By Linda C

•

Feb 15, 2025

good

By shihyang y

•

Feb 16, 2024

good

By manu n

•

Oct 12, 2023

good

By Stephen

•

Sep 8, 2023

nice

By maddy s

•

Jan 12, 2023

good

By Aditya M P

•

Aug 26, 2020

Good

By Jurong G

•

Aug 15, 2019

good

By ANUJ K Y

•

Nov 2, 2018

good

By Kuljeet K

•

Mar 1, 2017

Good

By Debanjan P

•

Jun 24, 2016

good

By Ishak S

•

Jun 11, 2016

Done

By Ibrahim F

•

Nov 16, 2024

.

By AARUSHI S

•

Aug 6, 2022

-

By yu z

•

Jul 26, 2021

By Shaharol N B M

•

Dec 6, 2018

T

By Govind R A

•

Aug 1, 2017

F

By aloudier@yahoo.fr

•

May 30, 2017

m

By Christian G

•

Aug 2, 2016

G

By Laurentiu B

•

Dec 10, 2015

G

By Angana B

•

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

By Joe D

•

Jan 21, 2016

Pretty good. Cade's analysis of the NFL draft is the highlight of the course and one of my favorite videos in the entire Wharton BA series. Overall the course gets kind of depressing towards the end as you realize how noisy this data is and how tough it is to get access to.

Martine's network analysis module is pretty cool. It would not have been overload to work in some of the calculations of network metrics, though, and they would have made for better quiz items. I'll have to be honest, though. I'm not very hopeful about ever being able to use this kind of analysis in the workspace.

Matthew's module was ok but I thought could have used more hard examples. Maybe some research from law enforcement or some field with lots of pre-tests could be used to illustrate regression and some of those techniques.