Certificate Course in

HR Analytics Program

With our HR Analytics course, you will emerge as an HR professional ready to grab innumerable opportunities in the space of Self-Service Avenues, Talent Management, Payroll, and Reporting.

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Calendar-for-Virtual Interactive Classes

January

Start Date

06^th

January
09:30 AM - 16:30 PM

Timings
Show all sessions

HR Analytics

Total Duration

1 Month

Prerequisites

Computer Skills.
Basic Mathematical Concepts.
Analytical Mindset.

HR Analytics Training Programme Overview

Recent LinkedIn research claims that in the last five years in North America, there has been a 3x increase in HR professionals who list analytics skills and keywords on their profiles. A few areas where they are applicable are the ease with which Machine Learning algorithms can predict employee attrition, help recruiters screen and hire better candidates etc. Another EY study declares that artificial intelligence provides innumerable opportunities to improve HR Operations such as self-service avenues, talent management, payroll and reporting.

HR Analytics Certificate Learning Outcomes

HR Analytics course in Malaysia offered by 360DigiTMG will help you to develop the required skill sets and prepare you to make data-driven decisions that help the organization and the employees. Training by industry experts and working on real-time projects will enable you to develop knowledge and advance your career. In this course, students will be able to analyze structured and unstructured data by using different tools. Learn important concepts like Machine learning and its applications in Analytics. This course will ensure you that it will enrich the required advanced skills as per the market trends and help you to reach your goal expeditiously.

Work with various information sources

Analyse structured and unstructured data using different tools and techniques

Develop an understanding of descriptive and predictive analytics

Apply data-driven, machine learning approaches for HR functions such as attrition prediction

Understanding how surveys work and perform analytics on them

Use ML techniques to create a personalized experience for employees

Use data visualisation concepts to represent data for easy understanding

Block Your Time

16 hours

Classroom Sessions.

24 hours

Assignments &
e-Learning.

16 hours

Live Projects.

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Who Should Sign Up?

Data and Analytics Manager
Business Analysts
Data Engineers
Banking and Finance Analysts
Marketing Managers
Supply Chain Professionals
HR Managers
Math, Science and Commerce Graduates

HR Analytics Course Modules

360DigiTMG offers an HR Analytics certification program in Malaysia. As per top talent trends in Malaysia, there is a high demand for HR professionals with digital knowledge and advanced skill sets apart from professionals in the areas of data analytics, Cybersecurity, and IT regulations. Training is delivered by industry experts with exceptional experience. Personal mentorship is given to guide the students at any point in their learning journey. These modules will focus on the main concepts as per the industry requirements. Students will learn HR analytics and workforce Analytics. Learn about Predictive modeling and employee level Management. Understand the concepts of Machine learning and its applications to predict employee turnover. Learn NLP techniques to screen and recruit the right candidates. Learn the concepts of tracking the impact of the intervention and Recruitment prediction. Gain insights on Deep learning for emotion mining in Workforce Analytics. The modules of the course help students to know and understand the advanced HR Analytical Techniques and tools to deploy data. This certification program in HR Analytics turns students to be the future workforce of what industries are exactly looking for. This course enables students to brush up their knowledge and skills and flourishes their career by helping them to grab lucrative opportunities in Human Resources.

1. Data Science Foundation Module

1. Data Science – Project Management Methodology

Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.

2. Hypothesis Testing and Simple Linear Regression

Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples

3. Data Science – Multiple Linear Regression, Regression of Attribute & Count Data

Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.

2. HR Analytics Module

1. HR & Workforce Analytics

2. HR Information Systems & Data

3. Machine Learning Primer

4. Deep Learning Primer

5. Predictive Modelling for Ethnic Diversity

6. Machine Learning Approach to Predict Employee Turnover

7. Talent Management - NLP techniques to Screen and Recruit Candidates

8. Predict Team Level & Employee Level Engagement

9. Survey Design and Analysis of Predicting Employee Performance

10. Predictive Modelling – Sickness Absence

11. Benefits and Compensation Analytics

12. Tracking Impact of Interventions & Recruitment Prediction

13. Employee Segmentation & Enhancements of Workforce skills

14. Forecast the Growth Rate of Workforce in an Organization

15. Deep Learning for Emotion Mining in Workforce Analytics

16. Advanced HR Analytical Techniques & Data Privacy, Security

HR Analytics Trends in Malaysia

Digitalization is tremendously increasing in the HR industry, which resulted in the innovation of new areas such as HR Analytics. Malaysia started building HR shared service/Global Business Service centers to create varied opportunities for HR professionals with digital skills. Automation is widely used in HR to locate the eligible candidates for the job. By HR Analytics and Automation, the performance of internal employees can be measured and bring it to the notice of officials. The latest top trend in HR operations is choosing the right candidates for a particular job by Artificial Intelligence, it can wisely hire the right candidates solely based on the data and facts that are given. Predictive reporting is another booming trend.

Few employees will stay but some may leave soon, to determine important factors like how long an employee will stay or why they leave, and so on, Analytics and AI will be used effectively. Predictions from the collected data will help the management to upgrade the entire organization. Another thriving trend is the usage of analytics in chatbots by human resources departments. The chatbots will answer the frequently asked questions related to specific topics. We can notice trends in HR Analytics that gain popularity in 2020 like personal training (virtual training) by the data to the employees, personalize and improve the employee experience by using HR Analytics, this will decrease employee turnover. As industries are rapidly adopting the latest technologies, skilled professionals are much needed to develop the business and gain a competitive edge.

Exclusive30^% Year-End Discount Limited Time Offer!

Practical Data Analytics: Work-Integrated Learning Course

Dive deep into analytics and transform your career in just 6 months.

Elevate your data insights and seamlessly transition from learning to working.

Work-Integrated Learning: Transition from learning to working in 6 Months - 30 days
Tackle 3 Industry-specific real-time projects to refine and showcase your skills
Secure 100 hours of credible working experience in data analytics
HRDC claimable and 6 months instalments available