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Datenwissenschaft

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Overview

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Learning outcomes

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Course content

1

Datenvisualisierung

2

Datenanalyse

3

Machine Learning

4

Datenmanagement

5

Statistische Modellierung

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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60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

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
Ready when you are
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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
Open enrolment · Start today

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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 taken the 'Datenwissenschaft' course at Stanmore School of Business! As a data enthusiast from the United States, I was blown away by the comprehensive coverage of data science topics. The course materials were top-notch, with engaging videos, concise readings, and challenging assignments that helped me develop practical skills in data analysis, machine learning, and visualization. I particularly appreciated the emphasis on real-world applications, which enabled me to work on projects that aligned with my career goals. The instructors were responsive and provided valuable feedback, making the learning experience truly exceptional. I've already applied the knowledge and skills gained from this course to my work, and I'm excited to continue exploring the field of data science.

LH
Leila Hassan
EG · Course completed

I found the 'Datenwissenschaft' course to be a great introduction to the field of data science. The course content was well-structured and easy to follow, with a good balance of theoretical and practical aspects. I appreciated the variety of case studies and examples used to illustrate key concepts, which helped me understand how to apply data science principles in different contexts. The course materials were relevant and up-to-date, and the discussions with peers from diverse backgrounds were enlightening. While I would have liked more advanced topics to be covered, I'm satisfied with the foundation I've gained and feel more confident in my ability to work with data. Overall, I'd recommend this course to anyone looking to get started with data science.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'Datenwissenschaft' course at Stanmore School of Business exceeded my expectations in every way! As a working professional in Brazil, I was looking for a course that would help me enhance my data analysis skills, and this course delivered. The instructors were knowledgeable and passionate about the subject matter, and the course materials were engaging and interactive. I loved the hands-on approach, which allowed me to practice and apply the concepts learned in each module. The course community was also very supportive, with many opportunities for collaboration and feedback. I've gained a wealth of knowledge and skills from this course, including data visualization, statistical modeling, and machine learning. I'm so grateful to have had this experience and would highly recommend it to anyone interested in data science!

KN
Kaito Nakamura
JP · Course completed

I approached the 'Datenwissenschaft' course with a mix of excitement and skepticism, but I'm pleased to say that it has been a valuable learning experience. As a detail-oriented person from Japan, I appreciated the systematic approach to covering the fundamentals of data science. The course materials were well-organized, and the assignments were designed to help students develop a deep understanding of the subject matter. I found the discussions on data preprocessing, feature engineering, and model evaluation to be particularly insightful. While some topics could have been explored in more depth, I'm satisfied with the broad overview of data science concepts and techniques that I've gained. The course has given me a solid foundation to build upon, and I'm looking forward to continuing my learning journey in this field.





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Recently updated!

May 2026