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. 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. 

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. 

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.

• 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

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.
• Earn 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.

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.

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

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.

HR Analytics Module

• HR & Workforce Analytics
• HR Information Systems & Data
• Machine Learning Primer
• Deep Learning Primer
• Predictive Modelling for Ethnic Diversity
• Machine Learning Approach to Predict Employee Turnover
• Talent Management - NLP techniques to Screen and Recruit Candidates
• Predict Team Level & Employee Level Engagement
• Survey Design and Analysis of Predicting Employee Performance
• Predictive Modelling - Sickness Absence
• Benefits and Compensation Analytics
• Tracking Impact of Interventions & Recruitment Prediction
• Employee Segmentation & Enhancements of Workforce skills
• Forecast the Growth Rate of Workforce in an Organization
• Deep Learning for Emotion Mining in Workforce Analytics
• Advanced HR Analytical Techniques & Data Privacy, Security