Intermediate Data Science for HR Professionals

Part of the ModularMaster in Digital HR programme

HR professionals who want to stay ahead of the curve need to continue to embrace and enhance their data analytics skills so that they can provide relevant and important people insights. The course combines theory with practical applications, flexibility, creativity and rigour to give you a comprehensive view of data analytics so that you can further extract business value and make the right people decisions for your organisation’s success. 
This course goes beyond tracking of traditional HR metrics to showing you the fundamental building blocks of HR data science, and teaches you the basic coding skills for deriving the necessary insights for action and decision making. 

You will be exposed to more data science techniques including in-depth data collection techniques, data modelling and statistical analysis, and analytics and machine learning for manipulating swaths of data without getting overwhelmed. 
This is an immersive course where you will exposed to real HR data sets to elevate your data analytics skills from basic to intermediate.


Plan your learning path

This course can be taken as a module on its own or as part of the Graduate Certificate in HR Analytics and Technology stack and participants will earn 12 subject credits which can also be used towards completing the ModularMaster in Digital HR.


Course Details

Course Dates:
Coming soon.

Duration

  • 5 days (In-class) or
  • 10 half-days (Online)
 

Who Should Attend

  • SME Business Owners

  • HR Leaders

  • HR Business Partners

Programme Outline

Learning Objectives

By the end of this course, participants should be able to / can expect to: 

  • Understand and apply the fundamental HR data analytics building blocks and linking them to the core business;
  • Learn about the robust methods for data collection
  • Interpret a mix of descriptive, predictive, and prescriptive analytics tools, as well as causal inference techniques;
  • Learn about basic coding skills and machine learning for manipulating swaths of data;
  • Understand data-driven story telling approaches for developing a narrative that makes sense for your business leaders;
  • Prepare, analyse and identify business insights for elevating the impact of HR to your organisation’s success.

Participants will also get to work on practical HR problems using machine learning techniques. These problems include

  • Employee Turnover Analysis using Logistic Regression
  • Developing Engagement Surveys,
  • Workforce Planning Analytics,
  • Leave Likelihood Analysis,
  • Compensation and Benefit data;
  • Employee performance; 
Day 1
  • Introduction to the course
  • Understanding the importance of data science and its application in HR business cases
  • Types of analytics and machine learning methods used in HR Projects
  • Business case sharing
  • Regression vs classification supervised learning methods.
  • Understanding the concept of regression models covering simple linear regression, multiple linear regression, and polynomial regression.
  • Understanding gradient descent optimization.
  • Understanding the importance of feature scaling.
  • Understanding the concept of classification models covering logistic regression and decision trees.
Day 2
  • Introducing Python programming
    • Basics of Object-Oriented Programming (OOP)
    • Data Types, Variables, Classes
    • Functions
    • String, Special Characters, Date, Regex handling
    • Data Structures
  • Data Acquisition with Python
    • Connecting to a database
    • Querying a database and loading data into a DataFrame
  • Combining multiple DataFrames
Day 3
  • Data Preparation on HR dataset with Python
    • Introducing various data profiling and cleaning techniques.
    • Understanding data enrichment and the importance of feature engineering.
    • Understanding the importance of feature scaling.
    • Performing train-test split and cross validation.
  • Data Science Modelling on HR dataset with Python
    • Building machine learning models.
    • Evaluating the performance of machine learning models.
    • Optimizing the performance of your machine learning models.
Day 4

Intermediate Data Storytelling
Under the intermediate data storytelling, the emphasis is on deriving insights from visuals and putting the visuals together in a dashboard.

  • Data vs Insights - Data Science Lifecycle and DIKW Pyramid
  • Insights from Visuals - Exploratory Data Analysis (Techniques)
  • Enhanced SPSN
  • Dashboard – Design and Considerations
  • Individual Quiz

 This is a quick, practical introduction to PowerBI. At the end of this session, participants should:

  • Understand additional PowerBI elements that enhance user interactivity
  • Have exposure to basic Data Analysis Expressions (DAX)
  • Be able to create visuals with dynamic features
  • Know how to put together a dashboard to tell a story

This course does not cover programming or advanced DAX formulas and leverages on knowledge and pre-work done during PowerBI fundamentals.

Contents

  • Applying filters and drill-throughs
  • Binning and grouping
  •  Data Analysis Expressions (DAX) basics
  • Calculated Columns
  • Measures + Level of Details
  • Dynamic Features
    • Parameters
    • Dimensions
    • Measures
    • Chart Titles
  • Dashboard Creation
  • Dashboard Interactivity
  • Individual Quiz
Assessment
  • Project
  • Presentation
Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

Course Fees and Funding

Full course fee inclusive of prevailing GST

You pay
S$4,280.00

SkillsFuture Course Fee subsidy (70%)

  • For Singapore Citizens < 40 years old 
  • For Permanent Residents

You pay
S$1,284.00

Mid-Career Enhanced Subsidy (90%)

  • For Singapore Citizens ≥ 40 years old

You pay
S$484.00

Enhanced Training Support for SMEs (90%)

  • For SME - Sponsored employees

You pay
S$484.00

The above module fee payable is inclusive of GST. 1% GST increase in 2023 is absorbed by SUTD.

Instructors

Dr Jaclyn Lee
Senior Fellow at SUTD Academy
Chief Human Resources Officer at SUTD

Dr Jaclyn Lee manages Human Resources, Faculty Administration, Organisational Development and Digital HR in her current role as Chief Human Resources Officer. She has over 25 years of experience in Human Resources in various industries. Prior to joining SUTD, Jaclyn was the Senior Vice President of Group Human Resources in a large Temasek-linked Company. Jaclyn also has rich experience in managing large and diverse workforces, as well as HR projects in the Asia Pacific Region. In her prior role in NEC Corp, she was the Regional HR Director and HR Business Expert for the South Asia Region.

Jaclyn has in recent years been advocating the use of Digital technologies for Employee Experience, and also educating the HR community on the use of Data Analytics for the HR Function. She is a frequent speaker in key conferences and also sits in various national HR committees and workgroups. She has a Doctor of Philosophy (PhD) in Business Information Systems from University of Twente in the Netherlands, Master of Business from SMU, Master of HRM from Rutgers University and a BSc in Psychology from Brandon University in Canada.

Read more.

Khoo Sock Ling
Adjunct Fellow at SUTD Academy

Sock Ling has more than 16 years of analytics experience spanning across multiple industries and subject domains (CRM, Marketing, Digital, Retail). She has worked in several MNCs such as IBM, P&G, Levi’s and J&J where she was focused on driving strategic insights and business outcomes from data. In her current role as the Director of Analytics and Insights at Coca-Cola, Sock Ling is leading a team which works on several commercial and strategic analytics initiatives.  Sock Ling has a Master of Business Administration from Nanyang Business School (Strategy and Finance) and a Master of Technology in Enterprise Business Analytics from NUS ISS.

Thia Wei Soon
Instructor, SUTD Academy

Wei Soon has more than ten years of experience working in the manufacturing and IT sectors. He worked as a data scientist using data analytics and machine learning to deliver actionable insights and drive strategic marketing initiatives. In recent years, as a technology consultant, he successfully helped clients to streamline enterprise operations and achieved cost saving through the adoption of robotic process automation.

Wei Soon has a Master of IT in Business Artificial Intelligence from Singapore Management of University and a B.Eng in Mechanical Engineering from Nanyang Technological University. He is proficient with tools such as Tableau, Jupyter, RStudio, MS Visual Studio, Automation Anywhere, UiPath, and programming languages such as Python, R, C#, HTML5, and JavaScript.
 

Policies and Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,
 

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

  1. Reporting of national statistics and conducting of holistic continuing education training research and analysis;

  2. Facilitate the conduct of the relevant surveys and audits in relation to the Course;

  3. General administration of the Course including but not limited to processing of the subsidy provided by SSG;

  4. Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and

  5. SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.
     

I agree to:

  1. Attend and complete all lectures, class exercises, workshops and assessments;

  2. Complete the Course feedback at the end of the Course;

  3. Complete the post Course survey sent about 3 to 6 months after class attendance; and

  4. Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit https://sutd.edu.sg/Privacy-Statement.

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

  1. If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made. 

  2. No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

Registration Policy

  1. Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.

  2. Course enrolment is based on a first-come, first-served basis.

  3. SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances. 

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

  1. MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.

  2. Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

    For more info, please visit SkillsFuture website at https://www.skillsfuture.gov.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

  1. ETSS is an enhanced funding to enable SMEs to send their employees for training.

  2. SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.

  3. In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.

  4. To qualify, SMEs must meet all of the following criteria:
    - Organisation must be registered or incorporated in Singapore
    - Employment size of not more than 200 or with annual sales turnover of not more than $100 million
    - Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
    - Trainees must be Singapore Citizens or Singapore Permanent Residents

    For more info, please visit SSG website at https://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html


Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.