Data Science for HR: Thinking in Numbers
Register to Access the Workshop


Online Interactive Workshop


On-demand learning


Two months access to the recordings, discussion board,
and mentors




10-12 hours across two weeks

Prework, recorded workshop, online discussion group, tools, exercises, mentors ​

Program Description:

​Most organizations lament that lack of data (or the right kind) is keeping them for making informed decisions. In reality, everything we do is data and with a little bit of help we can all develop a data mindset and become insight-led decision makers. It’s a matter of being intentional in the types of information we collect and how we make use of it. In this hands-on workshop series on ‘Data Science for HR’ our goal is to equip HR professionals with the skills and knowledge to conceptualize their world in terms of data, work with data, and make data work for them in order to understand and solve organizational concerns. This hands-on data science workshop is designed for both, those with and without a background in statistics. You will come to understand the critical basics of data as is relates to HR through what we call the “language of numbers.” You will gain practice in conceptualizing HR activities and outcomes in terms of data and drawing actionable insights. By the end of the workshop you will feel equipped to build your own database, compute frequently used statistics, extract deep insights, and tell a data story in visual and narrative format.

This series will cover the following elements:

Data translation

Thinking in numbers, reading numbers, and speaking with numbers in practical ways


How perfect data should look, and how to still work with and interpret the inevitably imperfect data that comes out of the real-world


Important data points that go beyond averages, and what they really tell us


​Data relationships, how to detect and interpret them, and what constrains exist around these relationships

Visualizing data

​How to make your data more palatable and speak the language of data in a way that stakeholders can easily digest

Best practices

For collecting, analyzing, and managing data


Want to get certified*

Earn a Certification in Data Science for HR I (CDS-HRi) and market your skills widely

Additional Requirements to earn certification

  1. Complete the Foundations in Talent Management lesson
  2. Take the certification exam and score 70% or greater
  3. Independently complete a relevant data science project and score 70% or above

*Participants who complete the workshop but not the certification requirements will only receive a ‘Certificate of Completion.’


Each workshop will be 2 hours long and including a 90-minute interactive presentation and at least 30-minute period to practice on real data sheets and discuss common dilemmas through case studies. Experience a new and effective way to think about people data through this workshop series!


  1. Manage, organize, and prepare data for analysis
  2. Know when, where, and how to look for data relevant to HR
  3. Build better instruments to collect high quality people data (beyond what is in your HRIS systems)
  4. Use existing data to detect organizational problems (and solutions)
  5. Easily interpret and explain data in practical terms
  6. Draw deep and actionable insights from people data
  7. Present data findings into visually simple forms


  1. Interactive workshop where you work with real data as you learn about it
  2. Apply what you learn to your current data needs
  3. Gain expertise in data translation by turning numbers into practically useful information
  4. Learn to influence stakeholder decisions through data visualization and data stories

Who Should Take this Workshop

  1. HR Business Partners/Generalists
  2. HRIS Analysts
  3. Talent Analytics professionals
  4. Talent Management ProfessionalsAnyone who works with people data
  5. Those with or without statistical experience


WORKSHOP 1. Data introduction: The Language of Numbers

  • How to conceptualize HR activities and outcomes in terms of numbers
  • How to address questions from stakeholders with data-based insights
  • Building a vocabulary in the language of numbers
  • Data decisions
    1. Collecting data/format
    2. Data definitions
    3. Managing existing data
  • PRACTICE 1.1: Thinking with data- Translating HR activities and process into data
  • Spreadsheet management tips
  • PRACTICE 1.2: Cleaning and organizing data in a spreadsheet
  • Data translation activity (making sense of the data):
    • CASE STUDY: Hiring and job applicants
    • What questions can we answer with data?
    • Where can we look for data?
    • What do the numbers represent?
    • What is not represented by the numbers?

WORKSHOP 2. – Data distributions: Speaking numbers

  • Understanding the structure of data related to human behavior: The normal distribution
  • Answering questions about general patterns in your data using measures of central tendency (mean, median, mode)
  • Understanding distribution issues to draw deeper insights
      1. Frequency
      2. Percentiles
      3. Quartiles
      4. Skewness
  • PRACTICE 2.1: Interpreting central tendency statistics
  • Data translation activity (making sense of the data):
    • CASE STUDY: Manager ratings, safety, engagement, and job satisfaction
    • What does each descriptive say about the data?
    • How to draw maximum insights from the available data?

WORKSHOP 3. Data relationships: Numbers in action

  • Making sense of variability in people data
  • Measure of Variability: range, standard deviation, and variance
  • Understanding the strength of relationship: Correlations
      1. What are they?
      2. Understanding and interpreting
      3. Best practices
  • PRACTICE 3.1: Detecting strong relationships in organizational outcomes
    • Data translation activity (making sense of the data):
        • CASE STUDY: Team conflict, cohesion, and productivity
        • Asking the right questions
        • What do relationships mean?
        • What might alter the meaning?

WORKSHOP 4. – Data visualization: Seeing numbers

  • Telling the data story visually (data visualization)
    1. Show don’t tell
    2. Types of charts and figures
  • PRACTICE 4.1: Selecting and building the best figures for your data
  • Making data-based decisions in HR
  • Data translation activity (making sense of the data):
    1. Guiding organizational decisions based on data
  • PRACTICE 4.2: Group problem from pre-work: Telling YOUR data story
    • CASE STUDY: Training data, learning & development

Limited Seats. Register Soon.


Dr. Shreya Sarkar-Barney is the founder and CEO of Human Capital Growth (HCG). Combining science and analytics, HCG has helped organizations such as Microsoft, Merck, General Mills, and Ecolab achieve better leader and talent outcomes. In 2019, Shreya was awarded the Scientist-Practitioner presidential recognition by the Society for Industrial and Organizational Psychology (SIOP). HCG has been recognized among the Top 10 Talent Analytics firms by HRTech Magazine (2016). Shreya is the author of the book “The role of national culture in transfer of training” based on an empirical study covering 49 countries. She was a visiting scholar and lecturer at the University of California, Berkeley, and tenure track professor at the Illinois Institute of Technology where she taught statistics and organizational psychology. Shreya earned her Ph.D. in Industrial and Organizational Psychology from Bowling Green State University.

Dr. Shreya Sarker-Barney

Shreya Sarkar-Barney. Ph.D.

​Founder and CEO

Human Capital Growth

Alyssa Perez is a Consultant for Human Capital Growth (HCG). She works part-time at HCG in aiding clients in implementing scientific, evidence-based solutions to organizational concerns. She is currently a Industrial/Organizational (I/O) Psychology Ph.D student at the University of Central Florida. Her doctoral research includes topics of diversity, discrimination, and cross-cultural business concerns. She also works as a Research Assistant at The University of Central Florida’s Institute for Simulation and Training, where she works on important grant projects for clients such as NASA and the Army Research Lab (ARL). She also has experience in teaching undergraduate students in I/O psychology and psychometrics.

Dr. Shreya Sarker-Barney

Alyssa Perez


Human Capital Growth


Workshop: Data Science for HR: Thinking in Numbers

* Required Field
Human Capital Growth will not distribute your contact information.  More information can be found by visiting HCG's Privacy Policy