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Analítica De Recursos Humanos

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Overview

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Learning outcomes

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Course content

1

Análisis De Rotación

2

Optimización De Reclutamiento

3

Modelado De Talento

4

Predicción De Ausentismo

5

Inteligencia Salarial

Career Path

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Key facts

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Why this course

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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.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Analítica De Recursos Humanos course at Stanmore School of Business directly aligned with my goal of mastering data‑driven talent management. The modules on predictive turnover modelling gave me a step‑by‑step framework that I immediately applied at my company, reducing voluntary attrition by 12% in three months. The case studies from multinational firms were especially relevant, and the downloadable Excel dashboards were polished and ready for use. Overall, the instruction was clear, the materials up‑to‑date, and I feel confident recommending this program to senior HR professionals.

LS
Lucas Silva
BR · Course completed

I signed up for Analítica De Recursos Humanos because I wanted to get better at using numbers in my HR job, and it totally delivered. The video lessons were short and fun, and I loved the real‑world examples like how to build a simple employee‑engagement survey in Google Sheets. After the course I created a turnover‑risk report that my boss showed to the board – they were impressed! The PDFs were easy to read and the quizzes kept me on track. Definitely a solid 4‑star experience.

FW
Felix Wagner
DE · Course completed

Wow! This course blew my mind. I always thought HR analytics was boring, but Stanmore made it exciting with interactive dashboards and live data labs. I learned how to run a regression analysis to predict hiring needs, and I used the R script they provided to cut my forecasting time in half. The material was spot‑on for the current HR tech landscape, and the instructor’s energy kept me motivated every week. I’m now leading a new analytics project at my firm and can’t thank the school enough!

RK
Rahul Kapoor
IN · Course completed

The Analítica De Recursos Humanos program offered a comprehensive blend of theory and practice that matched my objective of becoming a strategic HR analyst. The curriculum covered data collection, cleansing, and visualization, with a deep dive into Python libraries such as pandas and seaborn. I applied the cohort analysis technique taught in week three to segment our employee data, which revealed a hidden pattern of high turnover among mid‑level engineers. The accompanying e‑book and sample code repository were meticulously organized, allowing me to replicate the analyses without additional support. The weekly live Q&A sessions clarified complex concepts, and the peer discussion forum facilitated knowledge sharing. By the end of the course I could independently design an HR dashboard that aligns with our corporate KPIs, and I feel fully prepared for the next step in my career.





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Recently updated!

May 2026