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London, United Kingdom · Study online with LearnUNI

Data Science for Decision Making

Learn essential data science skills for making informed decisions. Develop expertise in analyzing data and using it effectively for decision-making
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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 And Visualization

2

Statistical Modeling For Business Decisions

3

Predictive Analytics And Machine Learning

4

Optimization And Decision Support Systems

5

Ethics And Governance In Data‑Driven Decision Making

Career Path

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Key facts

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Why this course

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People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 LearnUNI
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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 'Data Science for Decision Making' course at Stanmore School of Business! As a professional in the field, I was looking to enhance my skills in data analysis and interpretation. The course exceeded my expectations, providing me with practical knowledge and tools to drive business decisions. The instructor's expertise and the quality of the course materials were outstanding. I appreciated the real-world examples and case studies that illustrated key concepts. I've already applied the skills I gained to my current role, and I'm confident that this course will have a lasting impact on my career.

LC
Liam Chen
CN · Course completed

I took the 'Data Science for Decision Making' course to improve my data analysis skills, and I'm really happy with the outcome. The course covered a wide range of topics, from data visualization to machine learning, and the instructor did a great job of explaining complex concepts in a simple way. I found the course materials to be relevant and up-to-date, with plenty of examples and exercises to practice. One thing that really stood out to me was the emphasis on storytelling with data - it's a skill that I've been able to apply in my work, and it's made a big difference in how I communicate with my team and stakeholders. Overall, I'd definitely recommend this course to anyone looking to boost their data science skills.

LH
Leila Hassan
EG · Course completed

Oh my goodness, I just loved the 'Data Science for Decision Making' course! It was so much fun to learn about data science and how it can be used to drive business decisions. The instructor was amazing, and the course materials were top-notch. I appreciated how the course was structured, with a mix of lectures, discussions, and hands-on exercises. The feedback from the instructor and my peers was really helpful, and it helped me to improve my skills and confidence. One of the things that I found most valuable was the focus on ethical considerations in data science - it's something that I hadn't thought about before, but it's so important in today's world. I feel like I gained a whole new perspective on data science, and I'm excited to apply my new skills in my future career.

RM
Raphael Moreira
BR · Course completed

The 'Data Science for Decision Making' course at Stanmore School of Business was a great experience for me. As someone with a background in business, I was looking to gain a deeper understanding of data science and how it can be applied in a business context. The course provided a thorough introduction to the key concepts and techniques of data science, including data visualization, statistical modeling, and machine learning. I found the course materials to be well-organized and easy to follow, with plenty of examples and case studies to illustrate key concepts. The instructor was knowledgeable and responsive to questions, and the discussions with my peers were helpful in clarifying my understanding of the material. One area for improvement might be the addition of more advanced topics, such as deep learning or natural language processing. However, overall I was satisfied with the course and would recommend it to others looking to gain a solid foundation in data science.





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Taught in English

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Recently updated!

April 2026