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Learn how to use data for retrieving organizational insights. Join today to learn from an expert HR analyst.

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Course Duration

40 Hrs.

Live Project

2 Project

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HR & Payroll

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  • Almost every organization has a human resource department that is used to handle people-related issues. However, an organization goes & builds out with the help of its workforce. The HR Analyst comes out in the list of most prominent positions. There are tons of HR roles that we get to see in small businesses. Small businesses have only HR managers with many HR professionals.
  • Moreover, every organization gets to build out with the requirements of on-board facilities. They need an HR analyst for data compiling, data analysis, and the other changes needed. But it is important to get out complete knowledge regarding the skills, and expertise required to become an HR Analyst. Resultantly, HR Analyst Training in Gurgaon booming up.

HR Analyst Training in Gurgaon

About-Us-Course

  • The human resources department acts out as a base for the other departments existing in an organization. Therefore, HR Analytics training institute in Gurgaon helps candidates in getting well-adapted to other technologies. We are considering the course curriculum through the below-mentioned details:
    • Identification of effective sources related to data.

      Development of meaningful metrics.

      Designing out the long-term measures.

      Applying out results in support of organizational tactics.

      Managing out the data-driven approach.

  • Data gets used based on responses related to the salary structure of different employees. Moreover, after completing the HR Analytics Training in Gurgaon you can earn up in the range of Rs 2.5 lakh to Rs 8.4 lakh per annum. The average salary which you earn is in the range of Rs 5 lakh per annum.

  • Undoubtedly, HR analyst plays an important role in collecting, structuring, analyzing as well as reporting the data. So, it is important to understand the career prospects after completing a course from the HR Analyst Training Institute in Gurgaon:
    • There is a common misconception that gets trending out in the market that the job of the HR Department is easy. However, it is not true when you list out the job responsibilities there is a sheer number of tasks associated with this position.

      HR staff has to deal a lot with labor relations, employment law, talent acquisition, employee engagement, and development programs as well as others. Simply, they need to handle multi-dimensional tasks.

      If we talk regarding HR jobs then they are fulfilling & complex it is a relatively easier thing to get out into the HR world even if you are a Bachelor’s in Business Administration. You can easily get out through the HR (Human Resource) positions.

      According to some research, career change lead to saturation among the HR generalists people. However, according to the details revealed by the Bureau of Labour Statistics, there is a sharp rise in jobs related to the HR domain.

      The HR career path is a relatively simple one but it also gets out different for each organization as well as the department. Moreover, some organizations have all the job titles related to the HR domain while some are not.

      Along with the responsibilities salary component of HR professionals also differ from organization to organization. Moreover, they need to lead the role in a given salary structure.

  • Typically, many organizations take out HR Analyst staff as the report-generators. They increase the potentialities of the organizational project and ensure its completion. But it is important to check out the reasons behind its popularity before going for HR Analyst Training in Gurgaon. See the below-mentioned details:
    • The role of HR in an organization gets developed exponentially over the past few decades. Moreover, with the help of the latest human resource policies of an organization, it is gaining demand rapidly.

      Due to the gaining popularity of HRM (Human Resource Management) software in the market processes are becoming smooth and easily adaptable. However, regarding technology HR professionals also need to adapt to new policies.

      Analyzing data is a popular part of HR Analysts. Moreover, the data help out in improving the employee experience by identifying the areas where the improvement can take place for fostering processes.

      HR analysts need out in developing our reports as well as the presentations which get used for managing the processing of decisions. They are also responsible for researching new trends coming in the labor market.

      The features of HRM are an essential part of organizational success or failure. Apart from these features, there are many other benefits of HRM software that lead to the critical importance of getting throughout the organization.

      Getting certifications & completing courses help out in tracking the HR Analyst career. However, the best way of becoming an HR analyst is getting out much experience in this domain.

  • The HR analyst is an interdisciplinary role that comes out in the HR Department of the organization. It is a vital position that needs a lot of attentiveness for implementing the new policies. After completing out HR Analytics Training in Gurgaon you have to follow the below-mentioned responsibilities in the organization:
    • Successful candidates with building out the key partnerships with various talented leaders for delivering out business needs.

      Maintaining out effective relationships with stakeholders for resolving data-related issues which consist of interpretation & quality.

      Supporting different functions of human resources related to the field of metrics, reporting, and advanced analysis.

      Designing & maintaining the HR data model and ensuring the single source of mastering the HR data.

      Supporting our HR specialists by designing customized reports with accurate data.

      Responsible for managing & maintaining the HRIS data existing in the organization.

      Utilizing technology & analytical tools for developing the enterprise-wide strategy to overcome new challenges coming out in the HR arena.

  • After completing the course from HR Analyst Training Institute in Gurgaon multiple organizations go to hire the candidates. These organizations are Genesis Technologies, Deloitte, Micro Focus, IDFC First Bank, Optum, Airtel India, etc.

  • As the course from HR Analytics Training Institute in Gurgaon gets completed you get out 100% internationally recognized certificates. These certificates are highly demanded across the industrial arena and help out the candidates in getting jobs.

Why should you learn HR Analytics?

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Plenary for HR Analyst Certification Training

TrackWeek DaysWeekendsFast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training ModeClassroom/OnlineClassroom/OnlineClassroom/Online
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CURRICULUM & PROJECTS

HR Analyst Certification Training

  • Learn how to take a data-driven approach to manage people at work and make better decisions. With our Human Resource Data Analytics course, you’ll be able to develop an in-depth understanding of how HRs at cutting-edge companies use sophisticated data analysis to make better decisions on matters like recruitment, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration.
  • In this program you will learn :
    • Sneak Peek to the Human Resource Analytics.

      Analysing the Attrition Using Descriptive Statistics.

      Projecting the Future Job Performance Using Associative Statistics.

      Predicting the Appraisal on Performance Using Inferential Statistics.

      Predicting the HR Cost Using Time Series.

      Predicting Employee Salary Using Linear Regression.

      Predicting the Probability of Attrition Using Logistic Regression.

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  • Sneak Peek to the Human Resource Analytics:
    • The World of Human Resource (HR)

      Discovering the Key HR Processes

      Human Resource

      HR Analytics - The New Buzz Word

      Classifying HR Data

      Different Levels of Reporting

      Moving from Operational Reporting to Predictive Analytics

      Getting Started with Analytics

      Human Resource Analytics

      Demonstrating the Installation of Analytical Tool pack in Excel Human Resource

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  • Analysing the Attrition Using Descriptive Statistics:
    • Discovering Descriptive Statistics

      Demonstrating Descriptive Statistics Using Excel

      Descriptive Statistics

      Preparing the Management Information System for Attrition Management

      Demonstrating the Attrition Analysis Using Excel

      Analysing the Attrition Using Descriptive Statistics

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  • Projecting the Future Job Performance Using Associative Statistics:
    • Discovering Associative Statistics

      Demonstrating Associative Statistics Using Excel

      Associative Statistics

      Projecting the Performance of New Employee

      Demonstrating the Projection of Employee Performance Using Excel

      Projecting the Future Job Performance Using Associative Statistics

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  • Predicting the Appraisal on Performance Using Inferential Statistics:
    • Discovering Inferential Statistics

      Demonstrating Inferential Statistics Using Excel

      Inferential Statistics

      Analysing Appraisal on Performance

      Demonstrating the Appraisal Analysis Using Excel

      Predicting the Appraisal on Performance Using Inferential Statistics

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  • Predicting the HR Cost Using Time Series:
    • Discovering Predictive Statistics - Time Series

      Demonstrating Predictive Statistics - Time Series Using Excel

      Time Series

      Predicting Cost for Future Planning

      Demonstrating the HR Cost Prediction Using Excel

      Predicting the HR Cost Using Time Series

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  • Predicting Employee Salary Using Linear Regression:
    • Discovering Predictive Statistics - Linear Regression

      Demonstrating Linear Regression Using Excel

      Linear Regression

      Predicting the Possible Value of Employee Salary

      Demonstrating the Possible Value of Employee Salary Using Excel

      Predicting Employee Salary Using Linear Regression

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  • Predicting the Probability of Attrition Using Logistic Regression:
    • Discovering Predictive Statistics - Logistic Regression

      Demonstrating Logistic Regression Using Excel

      Logistic Regression

      Predicting the Probability of Attrition

      Demonstrating the Prediction of the Probability of Attrition Using Excel

      Predicting the Probability of Attrition Using Logistic Regression

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  • Placement Guide:
    • What is an Interview

      Tips to clear an Interview

      Common Interview questions and answers

      HR Analytics Interview Questions and Answers

      Resume Building Guide

      Career roadmap and certifications

      Attempt for related Global Certification Exam, if any

      Start applying for Jobs

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Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards. Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.
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FAQ's

  • Determining the stakeholder's requirements.
  • Defining HR research & analytics.
  • Gathering & Transforming data.

  • Operational reporting.
  • Advanced reporting.
  • Strategic reporting.
  • Predictive analytics.

  • Brining of data together.
  • Lacking out data analytics.
  • Insufficient IT (Information Technology) resources.

HR metrics are figures which help out in tracking organizational data related to HR proceedings.

  • An ISO Certified.
  • Well-trained faculties.
  • Specialized course content.

Career Assistancecareer assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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