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Columbus, United States · Study online with LSPM

Data Science

A comprehensive program covering advanced data science concepts, tools, and techniques to analyze and interpret complex data sets effectively
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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 Planning and Management
  • 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 absolutely thrilled with the Data Science course at Stanmore School of Business! As a working professional in the United States, I needed a course that would help me upskill and reskill in data science, and this course delivered. The instructor's explanations were clear, concise, and easy to follow, even for someone without a background in computer science. I appreciated how the course covered both the theoretical foundations of data science and practical applications using popular tools like Python, R, and Tableau. The course materials were top-notch, with many real-world examples and case studies that made the concepts more tangible. I was able to apply the skills I learned to my job immediately, and my employer took notice of the improvement in my work. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to break into the field of data science.

LH
Leila Hassan
EG · Course completed

I was a bit skeptical about taking an online course, but the Data Science course at Stanmore School of Business exceeded my expectations. The course content was well-structured and easy to follow, with a good balance of lectures, assignments, and discussions. I liked how the instructor used examples from different industries to illustrate key concepts, making it easier for me to relate the material to my own work experience. One of the most valuable skills I gained was the ability to work with large datasets and perform predictive modeling using machine learning algorithms. The course materials were relevant and up-to-date, and I appreciated the feedback from the instructor and peers on my assignments. While there were some areas where I felt the course could be improved, overall I'm happy with the experience and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Data Science course at Stanmore School of Business was an incredible journey that took me from a complete beginner to a confident data scientist. The instructor's teaching style was engaging, enthusiastic, and supportive, making even the most complex topics seem accessible. I was impressed by the breadth and depth of the course content, which covered everything from data preprocessing and visualization to advanced topics like deep learning and natural language processing. The course materials were superb, with many interactive exercises and quizzes that helped reinforce my understanding of the concepts. I was able to apply the skills I learned to a project at work, and the results were astounding - we were able to identify new business opportunities and improve our customer engagement significantly. I'm so grateful to have taken this course and would highly recommend it to anyone interested in data science.

CS
Catarina Silva
BR · Course completed

I took the Data Science course at Stanmore School of Business to improve my skills in data analysis and interpretation, and I'm happy to say that the course met my expectations. The instructor was knowledgeable and provided clear explanations of the concepts, and the course materials were well-organized and easy to follow. I appreciated the emphasis on practical applications and the use of real-world examples to illustrate key concepts. One of the most useful skills I gained was the ability to communicate complex data insights effectively to non-technical stakeholders. The course also provided a good overview of the data science landscape, including the latest tools and technologies. While there were some areas where I felt the course could be more comprehensive, overall I'm satisfied with the experience and would recommend it to others looking to improve their data science skills.





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Recently updated!

April 2026