People Analytics for HR (PAHR) Certification

Human Capital Institute

Human Capital Institute

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    Who should attend

    This course provides foundational knowledge and skills in using analytics for HR generalists and practitioners. If you want to learn how to do statistical calculations or have an MBA, this class isn’t for you. On the other hand, If you want to increase your credibility with clients, make better evidence-based decisions, and improve your ability to draw insight from data, this is the course for you.

    About the course

    How do you usually make your decisions about talent? Rely on your experience and intuition? That’s a start, but it’s not enough. To be as effective as possible in HR you have to be able to make decisions based on data and evidence—the same way people in the line of business do.

    In fact, if you want to prove and communicate the value of HR and talent programs to the business, you need to possess some foundational analytical skills. We’re not talking about the ability to do statistical calculations—most organizations have experts who do that with data.

    It’s something that is more valuable—increasing your ability to gain insight from data and use it to communicate and make decisions.

    HR can’t be all about feelings—it is the combination of understanding people, knowing the business, and using data for decisions that will make you more of a strategic partner and more valuable to your clients.

    HCI’s People Analytics for HR (PAHR) certification program will arm you with the terminology, skills and knowledge necessary to make more evidence-based decisions. Topics covered in this course include:

    • Speak the Language of Analytics – Get comfortable with basic statistical analysis and terms that will enable you to engage meaningfully with data specialists.
    • Bring Rigor to Your Approach – Develop and test a strong hypothesis, use natural experiments and analytical models, and avoid confirmation bias.
    • Design Effective Analytics Initiatives – Apply data to talent management initiatives in talent acquisition, engagement, retention, and workforce planning.
    • Win Support for Your Findings – Communicate your findings in a compelling way that gets attention, addresses objections, and leads to action.
    • Take It to the Next Level – Identify the skills and next steps to improve your team’s analytics practice, using resources you already have.

    Course Outline

    The Role of Data in HR

    The Transformation of HR

    • Why analytics matters
    • Types of analytics: descriptive/predictive/prescriptive
    • The analytics continuum
    • The Talent Management Value Chain: What outcomes can HR directly impact?

    Applying Analytics

    • Case Study: Talent Acquisition at NCR

    Analytical Thinking

    Asking Good Questions

    • What’s a good question?

    Developing & Testing Your Hypothesis

    • Hypothesis: a possible answer
    • Knowing what to measure
    • Use path diagrams to identify drivers and surface hypotheses
    • Correlation does not equal causation
    • Test your hypothesis with rigorous scientific methods

    Helpful Statistics

    • Sample size and control groups
    • Regression modeling
    • Assessing p-value, R, and R-squared

    Common Errors to Avoid

    • Review results in context
    • Confirmation bias

    Accessing the Data You Need

    Overcoming Obstacles

    • Difficulties with data

    Types of Data

    • Structured and unstructured data
    • “Big data”
    • Common sources of data and how to integrate them
    • Privacy and confidentiality concerns

    Handling Data: Hands-on Practice

    • Spotting mistakes
    • Missing data
    • Standardizing data

    Applying Analytics

    • Case Study: Manager Performance and Employee Engagement at Google

    Analytics Practice

    Working with Data: Hands-on Practice

    • Clean and prepare data
    • Integrate data from multiple sources (HRIS/LMS)
    • Generate hypotheses based on the data
    • Standardize the data
    • Test hypothesis using pivot tables
    • Extend exploration of data using multiple regression analysis

    Applying Analytics

    • Case Study: Talent Retention at Credit Suisse ATM logo icon

    Practical Steps to Get Started

    Moving Up the Continuum

    • Keys to success in analytics

    Telling a Story with Data

    • The importance of narrative
    • Graphics and visualization
    • Objection handling: How to handle pushback

    Building a Team

    • Gathering the skills you need
    • Getting stakeholders aligned

    Tips and Inspiration

    • Some questions
    • Start small and low-tech

    Applying Analytics

    Case Study: Workforce Planning at GE Aviation

    Action Planning

    Make a Plan

    • Discuss challenges and potential solutions

    Videos and materials

    People Analytics for HR (PAHR) Certification at Human Capital Institute

    From  $1,995
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