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People Analytics, Université de Pennsylvanie

4.5
2,851 notes
487 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par PN

Jul 28, 2017

This is a very well defined course to give a very good start to the knowledge of People Analytics. The professors have brought in numerous examples to make the understanding of analytics better.

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475 avis

par Alakh Asthana

Apr 11, 2019

A very good introductory course. I would recommend completing a basics of statistics course as well to better understand the concepts. Prof. Cade Massey does an excellent job in covering the concepts most essential for implementing people analytics.

par Layung Anindya Prasetyanti

Apr 04, 2019

short duration video make me easy to keep my concentration. Yet the materials are very insightful. I get some inspiration for future works.

par Deepankar Sadhukhan

Apr 01, 2019

good course

par Jorge Mario Castro Ponce

Mar 21, 2019

The least you will find here is Analytics. Was expecting something more case-used and not pure theory.

par Kaustubh Chandrashekhar Dalvi

Mar 20, 2019

I learn the broad understating of people analytics through this course. Also different ways of people management & how we can improve it over time.

par Daniel Castillo

Mar 18, 2019

It is an amazing course and professor are very talented!

par Elijah Philson

Mar 15, 2019

This was my first Coursera course and I loved it! I have decided to pursue a career in HR / People Analytics / Database Administration and this course was my first step. I feel like I have a good understanding now on where I should look for more study material.

par Noah Gaspar

Mar 14, 2019

It's a good high-level overview of material, but it only skims the surface. I would have preferred more depth. That said, given its short duration, the course went as deep as it could.

par David Parnelll

Mar 13, 2019

This course renewed my appreciation for the field of Human Resources. Years ago I wrote a paper suggesting a formal requirement for a "Human Capital Balance Sheet" be established alongside the traditional financial balance sheet and income statement. It's interesting that in electronics we perform "circuit analysis" as a design parameter to manage load and efficiency parameters but for years in management we did not see the value of a similar analysis of communication and loading in "human circuits." Organizational Network Analysis corrects a blindness suffered and overlooked in the review process for the past century. Now with technology, we are able to harness data to correct this blindness, as if Peter Drucker and Edwards Demming met for the first time and co-invented processes to advance the data of human capital management. Data allows the blending of X and Y theory by nullifying much bias and fallacy which survived on pre-ONA blindness. This course revealed so much insight into the value added by new methods based on legitimate, describable statistical and mapping visuals not economically available until now. I could see ONA used BEFORE selecting a new ERP system or required for companies undergoing rapid growth...and so on. I would like to see a second course based on the actual statistical packages and the mapping software actually used to accomplish and use the methods described in "People Analytics." Remember: information is like electricity, it follows a path!

par Paula Bulnes

Mar 13, 2019

Muy útil y deja muchos desafíos por delante.