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Overview
What you will learn
The learning objectives of the Introduction to HR Analytics and Basic Statistical Analysis course offered by Singapore University of Technology and Design are:
- Have a clear understanding of data science and its application
- Introduction to Analytics in general and HR Analytics
- Understand the difference between descriptive and predictive analytics
- Understand tools and techniques for building a HR Analytics function. This includes:
- Knowing the right skillsets to start a HR Analytics function
- Understanding the integration of the various functions to support HR Data Analytics
- Understanding the systems and technology needed to drive the HR Analytics function
- Understand types of data sources and how to integrate HR with other business systems
- Secure knowledge about data management, protection and privacy
- Secure skills in Critical Issue Analysis to define key areas of measurement for HR
- Know how to select the right data and clean databases
- Introduction to basic statistics and techniques to perform simple data analysis for selected Human Resource questions. The techniques introduced will include:
- Correlation analysis
- Linear regression
- Multiple linear regression
- Scatterplots and Bubble Charts, Histograms, etc
- ANOVAs
- Able to employ story-telling techniques and build dashboards to translate data into meaningful information for management decision making.
Programme Structure
The program focuses on:- Basic Statistical Concepts
- Correlation Analysis
- Linear Regression
- Multiple Linear Regression
- ANOVAs
- Scatterplots and Bubble Charts, Histograms, etc
- Using ANOVAs to track recruitment cycle time
- Learning Analytics to measure training efficiency
- Turnover Driver Analysis – Correlation Analysis to understand employee exits
- Employee Benefit Analysis – Reviewing cost effectiveness through use of Linear Regression
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
On Campus
Disciplines
Human Resource Management Statistics Data Analytics View 21 other Short Courses in Human Resource Management in SingaporeAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Singapore University of Technology and Design and/or in Singapore, please visit Student Insurance Portal.
Other requirements
General requirements
- HR Practitioners who wants to know more on how to use HR Analytics to manage Human Resources functions to improve efficiency and performance.
- We encourage participants from the same organisation to attend as a group as the discussions and hands-on session would be greatly beneficial to your team.
Tuition Fee
To always see correct tuition fees
-
International
981 SGD/fullTuition FeeBased on the tuition of 981 SGD for the full programme during 1 days. -
National
981 SGD/fullTuition FeeBased on the tuition of 981 SGD for the full programme during 1 days.
- Permanent Residents: $294.30;
- Singapore Citizens under 40 years old: $114.30;
- SME - Sponsored employees: $114.30.
Living costs for Singapore
1878 - 3880 SGD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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