Limited spots — Enrol now and start immediately
Home / Courses / Berufszertifikat in Data-Mining (Fortgeschritten) (Advanced)
Columbus, United States · Study online with SSB

Berufszertifikat in Data-Mining (Fortgeschritten) (Advanced)

Free preview available
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2614 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
2614+
Enrolled
4.5★
Rating
20
Units
150+
Countries
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Mining Grundlagen

2

Data Preprocessing

3

Data Visualization

4

Machine Learning

5

Predictive Modeling

6

Cluster Analysis

7

Decision Trees

8

Association Rule Mining

9

Text Mining

10

Social Network Analysis

11

Time Series Analysis

12

Regression Analysis

13

Neural Networks

14

Deep Learning

15

Data Warehouse

16

Big Data Analytics

17

Data Governance

18

Data Quality

19

Business Intelligence

20

Advanced Statistical Modeling

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 Berufszertifikat in Data-Mining (Fortgeschritten) course at Stanmore School of Business! The course content was incredibly comprehensive, covering everything from data preprocessing to advanced mining techniques. I was able to achieve my learning goals by applying the concepts to real-world projects, such as analyzing customer purchase behavior and predicting sales trends. The course materials were top-notch, with interactive lectures, quizzes, and assignments that kept me engaged throughout. I'm extremely satisfied with my learning experience and would highly recommend this course to anyone looking to advance their data mining skills.

LH
Leila Hassan
EG · Course completed

I found the Berufszertifikat in Data-Mining (Fortgeschritten) course to be a great way to boost my career prospects. The course covered a wide range of topics, including data visualization, clustering, and decision trees. I appreciated the practical approach, with many examples and case studies that helped me understand how to apply the concepts in real-life scenarios. The course materials were well-structured and easy to follow, although I felt that some of the assignments could have been more challenging. Overall, I'm happy with my learning experience and feel more confident in my ability to analyze and interpret complex data sets.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The Berufszertifikat in Data-Mining (Fortgeschritten) course at Stanmore School of Business exceeded my expectations in every way! The instructors were knowledgeable and passionate about the subject matter, and the course content was incredibly engaging. I loved the hands-on approach, with many opportunities to work on real-world projects and collaborate with fellow students. I gained a deep understanding of data mining techniques, including text mining, social network analysis, and recommender systems. The course materials were excellent, with many resources and references provided for further learning. I feel like I've gained a new skillset and can't wait to apply it in my future career!

RK
Rahul Kapoor
IN · Course completed

I enrolled in the Berufszertifikat in Data-Mining (Fortgeschritten) course to enhance my data analysis skills, and I'm glad I did. The course provided a thorough overview of data mining concepts, including data quality, data warehousing, and big data analytics. I appreciated the detailed explanations and examples, which helped me understand the material better. The course materials were well-organized, with clear instructions and deadlines for assignments. I found the discussions with fellow students to be very helpful, as we shared our experiences and insights on various topics. While I felt that some of the topics could have been covered in more depth, overall I'm satisfied with my learning experience and feel more confident in my ability to work with complex data sets.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026