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Case Studies in Human Resource Management

Instructor:

Dr. Abhijeet Lele
4.09
average rating

Ratings

Beginner

Level

3.0 Hrs

Learning hours

32.6K+
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Learners

Skills you will learn

HR analytics
recruitment data
performance analysis
process optimization
employee insights
training strategy
compensation analytics
and data-driven HR decision-making

About this Course

It is now possible to significantly optimize traditional business processes such as hiring, marketing, pricing, etc. using digital technologies. Data Science has become an integral part of this digital transformation, and these business decisions are made by analyzing large amounts of data. In this course, you will be exposed to some of the commonly used data science techniques and their applications in Human Resource Management.

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1000+ free courses
In-demand skills & tools
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Course Outline

Analytics Landscape in HR

Introduction to HR Analytics and Benefits of Data Driven HR

Using Analytics for Employee Life Cycle

Analytical Metrices in HR

Types of Analytical Models

Reporting Tools and Prediction Tools

Examples on HR Analytics

Applications of analytics to improve Talent hiring

Analytics in Employee Renege

How analytics is used to place the right person at right place

Case Studies in Human Resource Management

4.09
average rating

Ratings

3.0 Hrs

Learning hours

Beginner

Level

32.6K+
local_fire_department

Learners

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4.09
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5.0

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“The Skills and Tools Work Great for Utilization”
I feel that everything was covered in this training and that the topic was spot on.

Our course instructor

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Dr. Abhijeet Lele

FPM (Ph.D.) in Management, BIMTech

Data Science Expert

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85.1K+ Learners
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3 Courses
Dr. Abhijeet brings over 11 years of academic experience and 3.5 years in the corporate sector, offering a well-rounded blend of theoretical insight and practical expertise. He has delivered applied training sessions in Business Analytics, R Programming, Business Statistics, HR Analytics, and Marketing Analytics for professionals and students across top organisations such as Tata Motors, Wipro, John Deere, Capgemini, Bosch, and L&T. With research published in reputed ABDC- and SCOPUS-indexed journals, Dr. Abhijeet ensures that his teaching is grounded in academic rigour while staying deeply relevant to industry needs. His structured, example-driven approach helps learners grasp key analytics concepts and apply them effectively in real-world scenarios.

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Other Data Science tutorials for you

Human Resource Management (HRM) is the process of managing and directing an organization's employees to achieve its goals and objectives. It encompasses a wide range of activities, including recruitment and selection, performance management, training and development, compensation and benefits, and employee relations.

The main goal of HRM is to create and maintain a positive and productive work environment for employees, and to align their interests with those of the organization. This is achieved by fostering a culture of open communication, creating fair and competitive compensation and benefits packages, and providing opportunities for growth and development.

Effective HRM requires a strategic and integrated approach to managing people, as well as a deep understanding of the organization's goals, culture, and values. It is also essential to stay up-to-date with the latest HR practices and laws and to be responsive to the changing needs and expectations of employees.

Overall, HRM is a critical function in any organization, as it has a direct impact on the success and productivity of the business. A well-run HR department can help attract and retain top talent, improve employee satisfaction and engagement, and drive business results.

 

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