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HR Analytics

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Overview

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Learning outcomes

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Course content

1

Workforce Planning Analytics

2

Employee Engagement Metrics

3

Talent Acquisition Insights

4

Performance Management Dashboard

5

Learning & Development Roi

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
OH
Oliver Hughes
GB · Course completed

What a brilliant course! The HR Analytics programme at Stanmore School of Business was exactly what I needed to boost my confidence with people‑data. I loved the hands‑on labs where we used Python to cluster employee profiles – I even applied the same technique to a real‑world project and identified a hidden group of high‑potential staff. The course materials were top‑notch, with up‑to‑date research articles and real case studies from leading multinational firms. The enthusiasm of the instructors shone through, making every session engaging. I finished the course feeling truly empowered and ready to champion data‑driven HR strategies.

MC
Michael Carter
US · Course completed

The HR Analytics course at Stanmore School of Business exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering predictive workforce modeling. I especially appreciated the module on regression analysis using R, which allowed me to build a turnover‑prediction model that I now use in my department. The case studies were current and directly applicable, and the slide decks were clear, well‑designed, and included downloadable datasets. Overall, the learning experience was professional and rigorous, and I feel confident applying these new skills to drive strategic HR decisions.

SL
Sophie Laurent
CA · Course completed

I took the HR Analytics class because I wanted to get better at turning HR data into real insights. The vibe was relaxed but still super useful. I learned how to set up interactive dashboards in Power BI and actually used a template from the course to present my team's attrition trends to senior leadership. The videos were short and to the point, and the reading material was spot‑on – not too heavy, but full of practical examples. I left the course feeling equipped and ready to take on more data‑driven projects at work.

RK
Rahul Kapoor
IN · Course completed

The HR Analytics course offered a detailed and systematic approach to learning advanced HR metrics. Key takeaways include: - Building logistic regression models in R to predict employee churn, which I later implemented to reduce turnover by 12% in my organization. - Designing KPI scorecards aligned with strategic business goals, supported by comprehensive templates provided in the course pack. - Conducting a full‑cycle data‑quality audit, a skill that highlighted inconsistencies in our HRIS and led to a data‑governance initiative. The instructional videos were clear, the supplementary reading was scholarly yet accessible, and the discussion forums facilitated deep peer learning. This thorough learning experience has markedly improved my analytical capabilities and confidence in presenting data‑driven recommendations to senior leadership.





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Recently updated!

May 2026