Free preview available
Columbus, United States · Study online with LSBA

Datenwissenschaft

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3303 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
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Datenvisualisierung

2

Datenanalyse

3

Machine Learning

4

Datenmanagement

5

Statistische Modellierung

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
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
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

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

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

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! The course content was incredibly comprehensive and well-structured, covering everything from data preprocessing to advanced machine learning techniques. The instructor's expertise and support were top-notch, and I appreciated the opportunities to work on real-world projects that helped me apply theoretical concepts to practical problems. The course materials were of high quality, and I found the video lectures and interactive exercises to be particularly engaging. Overall, I'm extremely satisfied with my learning experience and would highly recommend this course to anyone interested in data science.

LH
Leila Hassan
EG · Course completed

I found the 'Datenwissenschaft' course to be really useful for my career goals. I learned a lot about data visualization and statistical analysis, which I've been able to apply directly to my work. The course materials were relevant and up-to-date, and I appreciated the feedback from the instructor on my assignments. One thing that I found particularly helpful was the section on data storytelling - it's an area I hadn't explored before, and I feel much more confident now in my ability to communicate complex data insights to non-technical stakeholders. Overall, I'm happy with the course and would recommend it to others looking to improve their data science skills.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The 'Datenwissenschaft' course at Stanmore School of Business was absolutely amazing! I was a bit skeptical at first, but the instructor's enthusiasm and expertise were infectious, and I found myself looking forward to each new lecture and assignment. The course covered a wide range of topics, from data mining to deep learning, and I was impressed by the quality and relevance of the materials. I also appreciated the opportunities to collaborate with fellow students on group projects - it was a great way to learn from others and get feedback on my own work. Overall, I'm so glad I took this course and would highly recommend it to anyone looking for a comprehensive and engaging introduction to data science.

KN
Kaito Nakamura
JP · Course completed

I took the 'Datenwissenschaft' course at Stanmore School of Business to improve my skills in data analysis and machine learning. The course was well-structured and easy to follow, with clear explanations and examples. I found the section on natural language processing to be particularly interesting, and I appreciated the opportunities to practice with real-world datasets. The instructor was knowledgeable and responsive to questions, and I appreciated the detailed feedback on my assignments. One area for improvement might be to include more advanced topics or specialized tracks, but overall I'm satisfied with the course and would recommend it to others looking for a solid introduction to data science.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026