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Columbus, United States · Study online with LSBA

Data Science

Certificate course covering essential data science concepts, tools, and techniques for analyzing and interpreting data effectively. Perfect for beginners
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Flexible schedule
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2 months to complete
at 2-3 hours a week

Overview

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Learning outcomes

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Course content

1

Data Exploration

2

Statistical Modeling

3

Machine Learning

4

Data Visualization

5

Big Data Technologies

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

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

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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 thoroughly impressed with the Data Science course at Stanmore School of Business! As a professional in the field, I was looking to upskill and refresh my knowledge. The course content was incredibly comprehensive, covering everything from data preprocessing to advanced machine learning techniques. I particularly appreciated the hands-on exercises and real-world case studies, which helped me apply theoretical concepts to practical problems. The quality of the course materials was exceptional, with clear and concise instructions, and the support team was always responsive to my queries. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to break into the field of data science.

LS
Leandro Silva
BR · Course completed

The Data Science course at Stanmore School of Business was a great experience for me. I'm from Brazil, and I was a bit skeptical about taking an online course, but the instructors were really knowledgeable and the materials were well-structured. I liked that the course covered a wide range of topics, from statistics to deep learning, and that we had the opportunity to work on projects that were relevant to my interests. One thing that I found particularly useful was the section on data visualization - I had never used tools like Tableau before, but now I feel confident in my ability to create interactive and informative dashboards. My only suggestion for improvement would be to add more feedback mechanisms for students, but overall I'm happy with the course and would recommend it to others.

AP
Ananya Patel
IN · Course completed

Wow, just wow! The Data Science course at Stanmore School of Business has been a game-changer for me. I was struggling to find a course that would help me transition into a career in data science, but this course exceeded all my expectations. The instructors were amazing, the materials were top-notch, and the support team was always available to help. I loved that the course included so many practical exercises and projects - it really helped me build a strong portfolio and gain the confidence I needed to apply for jobs in the field. The course also covered some really advanced topics, like natural language processing and computer vision, which I found fascinating. I've already recommended the course to all my friends and family, and I'm so grateful to have had the opportunity to take it.

KO
Kofi Owusu
GH · Course completed

I recently completed the Data Science course at Stanmore School of Business, and I must say that it was a really valuable learning experience. As someone with a background in mathematics, I was looking to gain more practical skills in data analysis and machine learning. The course did a great job of covering the basics, and then building on those foundations to explore more advanced topics. I appreciated that the course included a lot of examples and case studies from different industries, which helped me see the relevance of the concepts to real-world problems. One area for improvement might be to add more discussion forums or peer review mechanisms, as I sometimes felt like I was working in isolation. However, overall I'm happy with the course and would recommend it to others who are looking to develop their skills in data science.





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Recently updated!

April 2026