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Das Professionelle Zertifikat in Data-Mining (Erweitert) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Mining Grundlagen

2

Data Warehousing

3

Data Preprocessing

4

Data Visualization

5

Decision Trees

6

Neural Networks

7

Cluster Analysis

8

Association Rule Mining

9

Text Mining

10

Time Series Analysis

11

Regression Analysis

12

Classification Analysis

13

Overfitting Und Underfitting

14

Klassifikationsmodelle

15

Regressionsmodelle

16

Clustering Algorithmen

17

Assoziationsregeln

18

Entscheidungsbäume

19

Neuronale Netze

20

Wissensentdeckung In Datenbanken

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.

4.5
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

I'm thrilled to have completed the Das Professionelle Zertifikat in Data-Mining (Erweitert) course at Stanmore School of Business! The comprehensive curriculum and expert instruction helped me achieve my learning goals, particularly in mastering advanced data mining techniques. I was impressed by the high-quality course materials, which included real-world case studies and interactive exercises. One of the most valuable skills I gained was the ability to apply data mining algorithms to solve complex business problems. For instance, I worked on a project where I used clustering analysis to identify customer segments, which resulted in a significant increase in sales for my company. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their career in data science.

SL
Sophie Laurent
CA · Course completed

Hey, I just finished the data mining course at Stanmore School of Business and I've got to say, it was pretty cool! I learned a lot about data preprocessing, feature engineering, and model evaluation. The course materials were solid, with plenty of examples and quizzes to help me stay on track. One thing that really stood out to me was the emphasis on practical applications - we worked on a bunch of projects that mimicked real-world scenarios, which made the learning experience way more engaging. For example, we built a predictive model to forecast stock prices, which was a great exercise in applying theoretical concepts to a real problem. Overall, I'd recommend this course to anyone looking to get into data science, but be prepared to put in the work - it's not a cakewalk!

AH
Amira Hassan
EG · Course completed

Alhamdulillah, I am overjoyed to have completed the Das Professionelle Zertifikat in Data-Mining (Erweitert) course at Stanmore School of Business! The course was a game-changer for me, as it provided me with the expertise and confidence to pursue a career in data science. The instructor was exceptional, with a deep understanding of the subject matter and a passion for teaching. The course materials were meticulously designed, with a perfect balance of theoretical foundations and practical applications. I was particularly impressed by the section on data visualization, which taught me how to effectively communicate insights to stakeholders. As a result of this course, I was able to develop a data mining solution for my company, which resulted in a significant reduction in costs and improvement in operational efficiency. I am forever grateful to Stanmore School of Business for this incredible opportunity!

KN
Kaito Nakamura
JP · Course completed

I recently completed the Das Professionelle Zertifikat in Data-Mining (Erweitert) course at Stanmore School of Business, and I must say that it was a thoroughly enjoyable and enriching experience. As a detail-oriented person, I appreciated the comprehensive coverage of data mining concepts, including the nuances of algorithmic techniques and the importance of data quality. The course materials were well-structured and easy to follow, with plenty of opportunities for practice and feedback. One of the highlights of the course was the section on ensemble methods, which taught me how to combine multiple models to improve predictive accuracy. I also appreciated the emphasis on reproducibility and interpretability, which are essential skills for any data scientist. Overall, I would recommend this course to anyone looking to develop a strong foundation in data mining, but be prepared to invest time and effort in mastering the material.





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Recently updated!

May 2026