WORKSHOP SERIES

Data Science for HR: Thinking in Numbers

Faculty : Alyssa Perez, ABD and ​Shreya Sarkar-Barney, Ph.D.

REGISTER

Format
Online Interactive Workshop

Fee
$1100
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Dates
Next Cohort Starting on March 1st​

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

Effort
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

Distributions

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

Descriptives

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

Correlations

​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!
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THIS WORKSHOP WILL ENABLE YOU TO DO THE FOLLOWING

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

BENEFITS

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

WHO SHOULD TAKE THIS WORKSHOP?

• HR Business Partners/Generalists
• HRIS Analysts
• Talent Analytics professionals
• Talent Management Professionals
• Anyone who works with people data
• Those with or without statistical experience

​WHAT YOU WILL LEARN
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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
  • Collecting data/format
  • Data definitions
  • 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
  • Frequency
  • Percentiles
  • Quartiles
  • 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
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• Making sense of variability in people data
• Measure of Variability: range, standard deviation, and variance
  • Parametric/non-parametric statistics
• Understanding the strength of relationship: Correlations
  • What are they?
  • Understanding and interpreting
  • 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
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• Telling the data story visually (data visualization)
  • Show don’t tell
  • 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):
  • Guiding organizational decisions based on data
• PRACTICE 4.2: Group problem from pre-work: Telling YOUR data story
  • CASE STUDY: Training data, learning & development

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EXPERT FACULTY

Alyssa Perez, ABD
Alyssa Perez is a research analyst and consultant at Human Capital Growth.  In this capacity, she conducts primary and secondary research on HR and talent practices. Her work involves quantifying human capabilities to predict and understand performance and well-being. She has also worked on research grants involving NASA astronauts to improve team outcomes, and the Army Research Lab to improve decision making in global operations.  In her consulting capacity, Alyssa has advised organizational leaders on best practices in managing employees, developed workshop content on managing diversity, and worked with a multinational client base on developing evidence-based talent management skills.  She specializes in topics of diversity, discrimination, national culture, creativity and innovation.  Alyssa has her masters in Industrial-Organizational Psychology from the University of Central Florida and is continuing to complete her Ph.D.  She also teaches courses in Statistics, Psychometrics, and Organizational Psychology.
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​Shreya Sarkar-Barney, Ph.D.
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.

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