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Columbus, United States · Study online with LSBA

Data Science

Data Science certificate course teaches data analysis, visualization, and machine learning techniques in English, enhancing career prospects significantly online
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2 months to complete
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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.
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

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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 looking to transition into a data science role, I needed a comprehensive program that would cover both the fundamentals and advanced concepts. This course delivered! The instructor's explanations of machine learning algorithms and statistical modeling were crystal clear, and the assignments helped me apply these concepts to real-world problems. I particularly appreciated the section on data visualization, which has become a valuable skill in my current job. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to gain practical data science skills.

LH
Leila Hassan
EG · Course completed

Honestly, I was a bit skeptical about taking an online course, but the Data Science course at Stanmore School of Business totally won me over! The course materials were so relevant and up-to-date, covering everything from data preprocessing to deep learning. I loved how the instructor used examples from different industries to illustrate key concepts - it made the learning experience so much more engaging. One of the most valuable takeaways for me was learning how to work with large datasets and perform predictive analytics. The course community was also super supportive, and I appreciated the feedback from the instructor and peers on my project submissions. Overall, I'm really happy with what I achieved in this course, and I'm excited to apply my new skills in my career.

KN
Kaito Nakamura
JP · Course completed

WOW, just WOW! The Data Science course at Stanmore School of Business was an absolute game-changer for me! As someone with a background in math and stats, I was looking for a course that would help me bridge the gap between theory and practice. This course exceeded my expectations in every way! The instructor's teaching style was infectious, and the way they broke down complex concepts into manageable chunks was pure genius. I was blown away by the quality of the course materials, which included interactive notebooks, videos, and quizzes. The project-based assignments were also incredibly valuable, as they allowed me to apply my knowledge to real-world problems and showcase my skills to potential employers. I'm so grateful to have taken this course, and I would highly recommend it to anyone looking to become a data science rockstar!

RS
Rafaela Silva
BR · Course completed

I recently completed the Data Science course at Stanmore School of Business, and I must say it was a fantastic experience! As a beginner in the field, I was looking for a course that would provide a solid foundation in data science concepts and techniques. This course delivered, covering topics such as data wrangling, machine learning, and communication. I appreciated the instructor's emphasis on practical skills, such as working with popular libraries like Pandas and Scikit-learn. The course materials were well-organized, and the video lectures were concise and easy to follow. One of the highlights of the course was the final project, which allowed me to apply my knowledge to a real-world problem and receive feedback from the instructor. Overall, I'm really happy with what I learned, and I feel confident in my ability to apply data science concepts to my work.





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Recently updated!

May 2026