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Optimizing Sales through HR Analytics

Optimizing Sales through HR Analytics


Course Highlights

  • 4.5 hours of E-learning content, tests etc

  • 4.5 hours of video content

  • Earn a certificate upon successful completion

  • Gain Lifetime Access to Courseware

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • Managers who want to make data-driven decisions about employees, teams and their management practices.

  • HR Professionals who want to incorporate data analysis into their practice.

  • Business Analyst/Data Analysis professionals looking to apply their skills to people management decisions.

  • Business owners and entrepreneurs.

  • Students or any individual who want to advance into HR.

What are the course deliverables ?
  • What is Employee Segmentation?

  • Why do we use employee segmentation?

  • How to apply Employee segmentation to increase the employee segmentation and reward system.

  • Anatomy of Statistical Model to understand the technique of solving any business problem through analytics.

  • Learn how to understand Business problem and what are the key factors.

  • How to collect data to solve that problem?

  • Getting the most out of data using basic analytics technique or you can say Exploratory Data analytics.

  • Applying feature engineering techniques to get in depth knowledge hidden inside the data.

  • You will learn what is feature creation, variable transformation, and variable reduction.

  • Learn the hypothesis techniques required for RFM analysis.

  • How to apply the RFM analysis using R.

  • Get the insight and help increase the ROI of your business.

More about this course
  • Employee segmentation is used in many organizations nowadays. The idea behind this is simple, to segment the employee in such a way to maximize the efficiency of the workforce as well as the reward management. This course utilizes RFM( Recency, Frequency, Monetary) method of employee segmentation. The segmentation method involves the use of the R language for finding the optimal number of clusters which can be created using the data-set. Hierarchical clustering as well as elbow graph plays an important role in finding the optimal number of clusters.

  • In this course we will take you to the path where you will learn how to choose and decide the right number of clusters along with the ratings from 1 to 5 to find the best employees and the employees who need training.

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    Frequently Asked Questions

    How can I take this course?
    This course is delivered by an instructor through online videos and other documents only. You will be redirected to our partner site for making the payment and then accessing this course. You do not have to go to any classroom in any place for taking this course. You need an internet connection and a computer/laptop/mobile/tablet only.
    Is there a specific time within which I should complete my courses?
    Courses do not expire, and therefore, there is no time frame to complete your courses. Once you purchase this course, you can view it as many times as you want. You can do the course as fast or slow as you want. You can also view it from any machine in the world, whenever you want - forever.
    Do I get a certificate on taking this course?
    On completing the course, you will get a course completion certificate from Udemy.
    Do I get a refund in case I do not like this course?
    We have 7 days exchange policy. Please send email to in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
    I have some other question. Where can I get help?
    Please send email to or call our toll-free number 1800-103-4702.
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