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Hr-Analytik

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Overview

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Learning outcomes

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Course content

1

Recruitment Metrics

2

Employee Retention Analysis

3

Performance Dashboard

4

Workforce Planning

5

Compensation Benchmarking

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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Self-paced
Learn on your time
Certificate
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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
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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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.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for Hr‑Analytik hoping to get a grip on HR data without a maths degree, and it totally delivered. The course broke down complex concepts into easy‑to‑follow modules, and I especially loved the hands‑on Excel dashboard exercises. After finishing, I built a simple employee‑engagement scorecard that my manager now uses in weekly meetings. The materials were clear and the quizzes kept me on track. It’s a solid, practical course that helped me upskill quickly – definitely worth the time.

MC
Michael Carter
US · Course completed

The Hr‑Analytik course at Stanmore School of Business delivered exactly what I needed to meet my learning goals. The curriculum walked me through the complete data‑pipeline—from cleaning HR datasets in Python to building predictive turnover models. I was able to apply the regression techniques from week three to a real‑world project at my company, which helped us identify at‑risk employees and reduced turnover by 12% within six months. The video lectures were crisp, the supplemental reading material was up‑to‑date, and the downloadable case‑study files made practice seamless. Overall, the experience was highly professional and I’m extremely satisfied with the results.

AP
Ananya Patel
IN · Course completed

Wow! The Hr‑Analytik program was exactly the boost I needed. The enthusiastic teaching style kept me motivated, and the live labs using Power BI were a game‑changer. I created an interactive HR dashboard that visualises recruitment funnel metrics, and my supervisor was so impressed that I earned a promotion right after the course ended. The resources were fresh, the real‑world case studies felt relevant to the Indian market, and the community forum was buzzing with helpful peers. I’m thrilled with what I’ve learned and can’t recommend it enough!

ZD
Zanele Dlamini
ZA · Course completed

The Hr‑Analytik course provided a thorough, detailed exploration of HR analytics techniques. Each module delved into specific statistical methods—logistic regression, cluster analysis, and survival analysis—backed by scholarly articles and practical examples. I particularly appreciated the step‑by‑step walkthrough of building a churn prediction model in R, which I later adapted for the talent acquisition team at my firm. The course materials were comprehensive, with well‑structured slides, datasets, and code notebooks. While the pacing was rigorous, the depth of content gave me confidence to lead data‑driven HR projects. Overall, a highly valuable learning experience.





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Recently updated!

May 2026