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Zertifikat Für Den Masterkurs Predictive Analytics (Fortgeschritten) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Datenaufbereitung Und Feature Engineering

2

Fortgeschrittene Regressionsmodelle

3

Zeitreihenanalyse Und Forecasting

4

Klassifikationsalgorithmen Im Detail

5

Ensemble-Methoden Und Boosting

6

Modellvalidierung Und Hyperparameteroptimierung

7

Text Mining Und Natural Language Processing

8

Bildanalyse Mit Deep Learning

9

Unüberwachte Lernverfahren Und Clustering

10

Anomalieerkennung Und Outlier-Analyse

11

Bayesianische Statistik Und Inferenz

12

Entscheidungsoptimierung Und Prescriptive Analytics

13

Skalierbare Modelle Mit Spark Mllib

14

Modellinterpretierbarkeit Und Explainable Ai

15

Deployment Von Predictive Models In Produktion

16

Ethical Ai Und Fairness Im Predictive Analytics

17

Echtzeit-Streaming Analytics

18

Simulation Und Monte-Carlo-Methoden

19

Sensor- Und Iot-Datenanalyse

20

Projektmanagement Für Data Science Projekte

Career Path

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Key facts

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Why this course

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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 States
MC
Michael Carter
US · Course completed

The Zertifikat Für Den Masterkurs Predictive Analytics (Fortgeschritten) exceeded my expectations. The curriculum was perfectly aligned with my goal of mastering advanced regression techniques and ensemble methods. I was able to apply the new knowledge immediately, building a Gradient Boosting model in Python that improved our churn prediction accuracy by 12%. The course materials—especially the case studies from real‑world finance datasets—were up‑to‑date and clearly explained. The instructor’s feedback on my project was thorough and helped me refine my feature‑engineering workflow. Overall, the learning experience was professional and highly satisfying; I feel fully prepared to lead predictive projects at my company.

SL
Sophie Laurent
CA · Course completed

I took this master‑level course hoping to move beyond the basics of predictive analytics, and it delivered! The modules on time‑series forecasting and model validation were spot‑on for the kind of work I do in marketing analytics. I especially loved the hands‑on labs where we used R to build ARIMA models that actually helped my team predict campaign performance a week ahead. The course videos were clear and the supplemental PDFs were easy to follow. While the workload was intense, the supportive community forum made it fun. I’m really happy with the practical skills I gained and would recommend it to anyone looking to level up.

FW
Felix Wagner
DE · Course completed

Wow – what an exhilarating learning journey! This advanced predictive analytics certificate gave me exactly the tools I needed to transition from descriptive reporting to real‑time predictive modeling. The deep dive into neural networks, especially the hands‑on TensorFlow notebook, allowed me to create a demand‑forecasting model that cut forecast error by 15% for my e‑commerce startup. The course material was impeccably organized, with up‑to‑date research papers and real‑industry datasets that felt incredibly relevant. The instructor’s enthusiasm was contagious, and the live Q&A sessions clarified even the toughest concepts. I’m thrilled with the outcome and can’t wait to apply these skills in my next project.

NE
Ngozi Eze
NG · Course completed

The Zertifikat Für Den Masterkurs Predictive Analytics (Fortgeschritten) provided a meticulously detailed and comprehensive learning experience. My primary objective was to master the end‑to‑end pipeline for predictive modeling, from data preprocessing to model deployment. The course covered advanced topics such as XGBoost hyper‑parameter tuning, which I applied to a health‑care dataset, achieving a ROC‑AUC improvement from 0.78 to 0.86. The provided Jupyter notebooks were well‑commented, and the supplementary reading list included the latest journals on causal inference, which deepened my theoretical understanding. Each module included rigorous assessments that reinforced the concepts, and the peer‑reviewed project feedback was invaluable. The overall quality of the materials and the relevance to real‑world problems have equipped me with confidence to lead analytics initiatives in my organization.





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Recently updated!

May 2026