HR Analytics Course

BY
Jigsaw Academy

Master the expertise in understanding human resource insights in a corporate setup by pursuing an HR Analytics Course from Jigsaw Academy.

Mode

Online

Duration

3 Months

Fees

₹ 24662

Inclusive of GST

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The programme HR Analytics Course by Jigsaw Academy is one of the most in-demand courses in the segment of HR. An essential area, HR Analytics domain is an area which requires precision and knowledge about the dynamics of HR function in a workspace. The candidates willing to pursue this programme should have the basic know how about Excel and HR Concepts. By mastering this programme from Jigsaw, the candidates will be able to master the art and skill of transforming a workplace into a data-driven and efficient one. The programme is carefully designed and conceptualized by industry experts. 

The highlights

  • 3 months course duration 
  • 6 months of access duration 
  • Certification from Jigsaw Academy 
  • Online (self-paced) learning mode

Program offerings

  • Online learning
  • Mobile app access
  • Case studies
  • Certification
  • Faculty and technical support

Course and certificate fees

Fees information
₹ 24,662  (Inclusive of GST)

Fee details for HR Analytics Course

Head

Amount 

Fees

Rs. 20,900

Taxes

Rs. 3762

Total Fees

Rs.24662

The HR Analytics Course Fees is Rs. 24,662 (including taxes)

certificate availability

Yes

certificate providing authority

Jigsaw Academy

Who it is for

Eligibility criteria

Education

Participants applying for HR Analytics Course must have a basic understanding of HR Concepts and Excel

Certification Qualifying Details

Participants will be given the certification of completion for this programme, if and only if they complete the session throughout. 

What you will learn

Knowledge of data visualization Knowledge of advanced statistics

After completion of the HR Analytics Course participants will master the following concepts:

  • Trains the candidate in making the workplace more data driven and efficient 
  • Subjective expertise and knowledge on analytic techniques 
  • Learn the skill of decision making 
  • Learn HR Analytics Techniques for reporting 
  • Learn about Talent Management

The syllabus

Overview of HR Analytics

Analytical Problem Solving

Analytics in Talent Management

Advanced Statistics

Case Study- Understanding correlation using survey data

Case Study - Understanding compensation data with the use of measures of central tendency

Workforce Analytics

Introduction to Statistics

Predictive Analytics

Case Study- Logistic regression on employee attrition data

Improving Measurement Maturity

Case Study - Business value of Retention

Case Study- Workforce planning simulation

Case Study- Optimizing hiring strategies on the basis of cost and quality

Implementation

Quizzes

Visualization

Admission details


Filling the form

Step 1: Candidates need to visit https://www.jigsawacademy.com/hr-analytics-courses/

Step 2: Click on ‘Enroll Now’ option 

Step 3: The candidates need to put coupon code and click Apply. Then proceed for checkout. The 

Step 4: The candidates need to then enter and verify via LinkedIn, Google or Facebook ID.

Step 5: The payment can be made via payment gateway via debit card, credit card, net banking, etc. 

Step 6: After making the payment, the candidate needs to attach a transaction slip and mail it to the officials for confirmation. 

How it helps

The HR Analytics Course benefits are in plenty and hence it is wise to pursue this programme from Jigsaw Academy. After completion, of course, candidates will gain in-depth knowledge of both subjective and theoretical about HR Analytics. The candidates will be able to take decisions and make the workplace more data driven and efficient at the same time. With practical exposure, candidates can solve the situation in real life scenarios as well. Being certified from Jigsaw Academy will give candidates an edge over other professionals in the market. By adding the certification in ones’ profile, candidates can welcome bright job prospects or career growth options. 

FAQs

How much time will it take to complete this programme?

The HR Analytics Course will take around 3 months to complete. The best thing is that the candidates have the access to the programme for 6 months. 

What is the pedagogy for the programme like?

Candidates taking HR Analytics Course from Jigsaw Academy will experience an interactive session throughout the duration of the programme. All the sessions are conducted via mobile app access, case studies, faculty and technical support. 

What is the eligibility criteria for enrolling in this programme?

Candidates are expected to have a basic understanding of HR Concepts and Excel. 

Is absence from class going to affect evaluation pattern?

It is very essential for candidates to attend to programme thoroughly in order to get the certification of participation. But in case the candidate needs a leave then they need to communicate prior to the institute. 

What are majorly some of the key areas covered under this HR Analytics Course Programme?

The HR Analytics Course Programme covers topics pertaining to HR Analytics, Workforce Analytics, Predictive Analytics, Introduction to Statistics and many others. 

How do I make the payment for this programme online?

Candidates can easily make the payment via the programme website. The candidates need to click Enroll Now button and click on Checkout. The candidate will be redirected to the payment gateway page wherein he/she can make the payment via debit card, credit card, net banking, etc. 

In case I terminate the programme midway, can I expect the institute to give me the refund for the programme?

Payment once received, will not be refunded back to the candidates in case they wish to withdraw from the programme. The institute can at the max allot the candidate a spot in another batch to adjust with the payment made against the course fees.

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