People Analytics Course

 

In a world where so much data about people is captured and utilized, there is a surprising gap. Companies and business leaders seem to know little about their own workforce or the data, tools, and techniques to address key questions. People analytics is one of the fastest growing, most in-demand skill sets for human resource professionals today. This course will introduce you to the concepts of how analytics can be applied to HR and talent management. No previous experience or analytics skills are necessary. In this course, you will learn the basics of measuring people at work, how to use the information available to make critical recommendations to senior leaders, and how to tell a compelling story using people data.  

 

 

What you will learn:   

You will learn analytics techniques that are useful in any area of business. Learning how to analyze the most critical issues for understanding work and people. You will also learn about the future of work and how to be a more effective HR professional or leader; how analytics is applied in organizations, and how to use people analytics to create a positive employee experience. 

 

Student preparation: 

  • Ability to understand spoken and written English.
  • Basic understanding of Microsoft Excel or Macintosh Numbers.

 

Learning objectives:

On successful completion, participants will:

  • Analyze quantitative, data-driven arguments derived from people data, and identify opportunities for further understanding/decision making using people data, people analytics, and people analytics technology/tools.
  • Develop proficiency in the valuation and understanding of human capital including: human capital reporting and valuation standards, ROI of people processes, cost implications, and strategic people operations planning.
  • Apply data storytelling and visualization techniques to create compelling narratives that inspire action and drive change.
  • Develop skills to translate information and data about people into meaningful business strategies.
  • Understand how to analyze and develop analytics for measuring employee and organizational performance.
  • Be able to interpret qualitative and quantitative human resources data information.
  • Understand where and how data and analytics adds value to organizational programs, policies, and processes.
  • Understand the different types and sources of human resources data.
  • Be able to evaluate challenges related to the management of HR data.
  • Communicate, clarify, and provide recommendations regarding people analytics.

 

Faculty:

Heather Whiteman is a people analytics expert. She is an assistant teaching professor of Data Design & Delivery for a More Just World at the University of Washington iSchool, a people analytics lecturer in the Haas School of Business at UC Berkeley, and a US Representative for ISO TC 260 focused on a global standardization in the field of human resource management. Heather has held executive level positions leading teams in people analytics at companies like General Electric (GE) and others. Heather has a Master’s in Industrial Organizational Psychology and a PhD in Human Capital Management. She is currently a Fulbright Scholar to Guatemala, focused on expanding the use of people analytics in Latin America. 

LinkedIn: https://www.linkedin.com/in/heatherwhiteman

Seattle, USA.

 

Jeff Higgins is a leading voice in people analytics and workforce planning, and US member ISO WG-7, creators of ISO Human Capital Reporting Standard #30414. He helps organizations transform workforce data into insights and ROI via metrics, predictive analytics, and modeling. As a former CFO and senior HR executive,  created the breakthrough «Human Capital Financial Statements». Trainer, consultant and SOLVE analytics toolset. He has partnered with organizations around the world to rapidly advance analytics and workforce planning. Mr. Higgins is a regular speaker at HR and finance events, a member of the ISO Global Standards Committee on HR Measurement TC260, founding member of the Workforce Intelligence Consortium, founding member of the PricewaterhouseCoopers Saratoga Institute advisory council, and board member of the Center for Talent Reporting (CTR).

LinkedIn: https://www.linkedin.com/in/jeff-higgins-5875082/ 

California, USA

 

Course guests:

In addition to your core faculty, you will have an opportunity to learn from leading experts in people analytics from around the globe. Each module welcomes new guests to share their expertise in workforce planning, people analytics research, advanced applications, and real case studies from business applications. 

 

Schedule:

3 modules, 36 hours

The schedule is designed in the afternoon, distributed in three separate weeks.

Each module is from 6:00 p.m. to 8:00 p.m.

Full English program

Starts on January 10, 2023

 

Module 1

January 10th to 14th (12 hours)
From Tuesday to Friday 6:00 p.m. to 8:00 p.m. (8 hours)
Saturday 8:00 a.m. to 12:00 p.m. (4 hours)

Module 2

January 24th to 28th (12 hours)
From Tuesday to Friday 6:00 p.m. to 8:00 p.m. (8 hours)
Saturday 8:00 a.m. to 12:00 p.m. (4 hours)

Module 3

February 7th to 11th (12 hours)
From Tuesday to Friday 6:00 p.m. to 8:00 p.m. (8 hours)
Saturday 8:00 a.m. to 12:00 p.m. (4 hours)

 

Proof of having taken the course:

A letter of proof is given to the attendees who complete all of the hours and present all the work material.

 

Investment:

Investment USD 600 or Q4800 (visacuotas applies in quetzals with a transaction fee).

Limited availability

  • UFM students: make the assignment through the MiU platform.
  • General public: you can complete your registration by filling out the registration form and making the payment online using the following form.


Frecuently asked questions

Registration form

Remember:
UFM students: make the assignment through the MiU platform.
General public: you can complete your registration by filling out the registration form and making an online payment using this form.