Events Schedule

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Analytics for Talent Management (ATM) Certification

Class  |  July 27-28, 2017 (8:45 AM-5:00 PM EDT)  |  Online

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  August 1-2, 2017 (9:00 AM-5:00 PM CDT)  |  Chicago, IL

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  August 17-18, 2017 (11:45 AM-8:00 PM EDT)  |  Online

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  August 22-23, 2017 (9:00 AM-5:00 PM EDT)  |  New York, NY

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  September 13-14, 2017 (9:00 AM-5:00 PM EDT)  |  Atlanta, GA

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  September 19-20, 2017 (8:45 AM-5:00 PM EDT)  |  Online

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »

Analytics for Talent Management (ATM) Certification

Class  |  September 26-27, 2017 (9:00 AM-5:00 PM PDT)  |  San Francisco, CA

The Analytics for Talent Management course will target early to mid-career HR practitioners and senior HR leaders that need to build and/or enhance their knowledge of data and analytics for talent management. Individuals tasked with running analytics projects and initiatives within HR, such as employee engagement, workforce planning, and talent acquisition, as well as those that lead teams of statisticians and analysts, will also find the course helpful. Learn more »