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Ki-Projekt Datenanalyse

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Overview

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Learning outcomes

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Course content

1

Datenaufbereitung

2

Explorative Analyse

3

Modellierung

4

Validierung

5

Ergebnispräsentation

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.

4.5
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 really enjoyed the Ki‑Projekt Datenanalyse course – it’s packed with practical stuff. The bit on visualising data in Tableau was spot‑on; I actually built a dashboard for a local charity that helped them spot donation trends. The videos were clear, and the downloadable cheat‑sheets made it easy to follow along. It hit my learning goal of getting comfortable with end‑to‑end data pipelines, and I left feeling ready to tackle real projects at work.

MC
Michael Carter
US · Course completed

The Ki‑Projekt Datenanalyse course exceeded my expectations. The modules on data cleaning with pandas gave me the exact skills I needed to prepare my graduation thesis dataset, and the hands‑on labs on regression modeling helped me achieve a 12% improvement in prediction accuracy. The lecture slides were concise and the real‑world case studies from Stanmore School of Business made the material feel immediately applicable. Overall, the course was professionally delivered and I feel confident applying these techniques in my new analytics role.

FW
Felix Wagner
DE · Course completed

Wow, what an enthusiastic learning experience! The Ki‑Projekt Datenanalyse course gave me hands‑on experience with Python’s scikit‑learn library – I built a classification model that correctly identified customer churn with 89% accuracy, which I later presented to my company's board. The course materials were up‑to‑date, especially the latest chapter on AI‑driven analytics, and the instructor’s energy kept me motivated throughout. I’m thrilled with the practical knowledge I gained and would definitely recommend it to anyone wanting to boost their data‑science toolkit.

RK
Rahul Kapoor
IN · Course completed

The Ki‑Projekt Datenanalyse program was very detailed and thorough. I appreciated the step‑by‑step walkthrough of SQL data extraction, followed by a deep dive into time‑series forecasting using Prophet. In my final project I applied these skills to predict sales for a small e‑commerce startup, reducing forecast error by 15%. The reading list featured current research papers, and the discussion forums allowed me to clarify doubts quickly. Overall, the course met my learning objectives and equipped me with solid, market‑relevant abilities.





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Recently updated!

May 2026