It is important to develop an analytical mindset and evaluate business objectives in a scientific way to derive meaningful insights. This HR Analytics course in Pune will help you to learn the concepts around analytics, their practical use cases, techniques to build an analytical framework for your organization, with a special focus on the HR domain.
Stay ahead in the world of Human Resource Management through this HR Analytics course from IIT Roorkee. Through a curriculum co-created by IIT Roorkee professors, master the essential analytics skills to take data-driven people-centric decisions.
IIT Roorkee is among the foremost institutes of national importance in India for higher technological education, engineering, and research. Since its establishment over 170 years ago, the institute has played a vital role in providing technical manpower, know-how, and the pursuit of research to the country.
JobAssist is an India specific partnership with IIMJobs.com supporting certified learners looking for a new career.
Stay up to date with real-world business analytics applications in the HR domain. This HR Analytics course covers key analytics concepts such as statistical analysis, data visualization, predictive analytics, prescriptive analytics, and machine learning, along with their practical use cases.
Get started with the HR Analytics course and explore everything about it. Kickstart your journey with this orientation session and get to know what this carefully curated program offers.
Master the essentials of Business Analytics and Data Science through real-world examples. You will learn the fundamentals of R programming, an essential part of data analytics. Understanding the different types of Data Science projects and the project lifecycle will give you a competitive edge in any organization
Understand statistics, the science of assigning a probability through the collection, classification, and analysis of data. This Analytics program will enable you to define statistics, a foundational part of data science, and the essential terms and concepts related to it. This program will help you to make data-driven decisions by applying various statistical techniques to multiple business scenarios.
Exploratory Data Analysis is the process of finding common patterns and characteristics from the given data using analysis and visualization methods. This plays an integral part in making business decisions in a data-driven organization. This HR Analytics certification course will guide you through the fundamentals of various data analysis techniques, help generate insights, and employ data visualization for informed decision-making.
Predictive analytics is used to find patterns in data that helps organizations identify potential business opportunities and risks. Leverage this course to predict various business outcomes by analyzing past data. Various regression models and time series analysis taught in this HR Analytics certification course, supplemented with project-based learning, will help you to gain an edge over the applications of predictive analytics.
Prescriptive analytics empower us to go ahead with business decisions by answering the question - “What should be done?” In this HR Analytics certification course, learn to define a goal for your business and how you can optimize solutions to achieve the goal. Through this program, you will be able to compare real-time and predicted data and make the best tactical business decisions for your organization.
This course on Data Science, AI, and Machine Learning will help you become an expert in making strategic decisions using Machine Learning that automates data analysis to enable computers to learn and adapt through experience and perform specific tasks without programming. You will master AI and Machine Learning concepts and techniques, including supervised and unsupervised learning, classification and clustering techniques, and heuristic aspects to speed up the decision-making process.
Human resources is an integral part of any organization and optimizing the maintenance of it will also help in business growth. This HR Analytics course helps learners understand workforce analytics, employee engagement analytics, employee training analytics, and much more to make better decisions for your organization.
Apply the HR analytics knowledge you have obtained through a hands-on, industry-relevant capstone project that compiles all the skills into one portfolio-worthy capstone
Attend live-online interactive masterclasses conducted by renowned instructors from IIT Roorkee. Understand what analytics can and cannot do, how to interpret data to make better decisions, and different analytics techniques
Utilize this online live interactive session to clear all curriculum doubts related to the program
Learn how the R tool can be used to assess the impact of organizational training on employees and thus improve the organization’s performance
Analyze and predict the potential candidates who would move out of their current position and join this consulting firm.
Analyse and come up with your suggestions to increase the profitability of a restaurant chain, considering various factors such as staffing, sales, operational cost, etc
Analyze the attendance pattern of employees to understand various parameters which lead to unexcused absenteeism in the organization.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Professor Ramesh Anbanandam is working as an Associate Professor in the Department of Management Studies, IIT Roorkee, India, and joint faculty of the Center of Transportation Systems, IIT Roorkee. He did Ph.D. from IIT Delhi and M.Tech from NIT Tiruchirappalli.
Dr. Tarun Sharma received his B.Tech. in Mechanical Engineering from NIT, Hamirpur, and masters and Ph.D. degree from Indian Institute of Science, Bangalore. He is a recipient of the Impact Postdoctoral Fellowship from The Chinese University of Hong Kong.
Dr. Amit Upadhyay is an Assistant Professor in DoMS IIT Roorkee, working in the areas of operations research, supply chain, and transportation. Earlier, he has worked as an assistant professor in VGSOM, IIT Kharagpur, and visiting faculty at IIM Calcutta.
Prof. Usha Lenka is a professor at the Department of Management Studies, IIT Roorkee. She has completed her Ph.D. from IIT Kharagpur. Prof Usha has an academic experience of 14 years and has done prolific research in the areas of investments in knowledge and innovation.
This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The global HR analytics market size was valued at USD 2.7 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 14.3% from 2022 to 2030. [Source: Marketing Analysis Report]
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program after the orientation session
For admission to this HR Analytics certification course, candidates should have:
No prior coding experience or technology know-how required
An eagerness to apply course concepts to real business problems
Preferably 6+ years of work experience
We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:
The admission fee for this HR Analytics certification course is ₹ 1,49,000 (Incl. taxes)
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
We provide the following options for one-time payment
4 Apr, 2023
22 Apr, 2023 - 22 Oct, 2023
08:30 - 12:30 CDT
Weekend (Sat - Sun)
For admission to this HR Analytics Certification Course in Pune, candidates should have:
The admission process for this HR Analytics course in Pune consists of three simple steps:
To ensure money is not a limiting factor in learning, we offer various financing options to help make this HR Analytics Course in Pune financially manageable. For more details, please refer to our "Admissions Fee and Financing" section.
As a part of this HR Analytics certification program in Pune, you will receive the following:
Upon successful completion of this HR Analytics online course in Pune, you will be awarded a certificate of completion by IIT Roorkee.
The anticipated time to complete the HR Analytics certification course in Pune is 3-4 months
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in HR Analytics in Pune on your first attempt. They proactively engage with students to ensure adherence to the learning path — helping to enrich the learning experience, from class onboarding to project mentoring to career assistance.
If you are not able to access HR Analytics Course online in Pune, contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
We offer 24/7 support through email, chat, and calls through our dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completing this HR Analytics Course in Pune.
No refund will be applicable once you make the partial/full payment for this HR Analytics Certification Course in Pune.
This program in Pune is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.
This HR Analytics certification course in Pune is offered on a non-credit basis and is not transferable to a degree.