Limited spots — Enrol now and start immediately
Home / Courses / Data Science
Columbus, United States · Study online with SSB

Data Science

Free preview available
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3309 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
3309+
Enrolled
4.5★
Rating
5
Units
150+
Countries
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Preprocessing

2

Machine Learning Algorithms

3

Data Visualization Techniques

4

Statistical Modeling Methods

5

Big Data Analytics Tools

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

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 Stanmore School of Business
  • 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 accredited 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 just completed the Data Science course at Stanmore School of Business and I'm blown away by the quality of the content! The course covered everything I needed to know to get started with data science, from the basics of Python and R to advanced topics like machine learning and neural networks. The instructors were knowledgeable and provided plenty of practical examples and exercises to help me apply the concepts to real-world problems. I was able to work on a project that involved analyzing customer purchase data for a retail company, and I was able to use the skills I learned in the course to build a predictive model that improved sales forecasting by 25%. The course materials were top-notch and the online platform was easy to navigate. Overall, I'm extremely satisfied with the course and I would highly recommend it to anyone looking to get into data science.

LH
Leila Hassan
EG · Course completed

I took the Data Science course at Stanmore School of Business and it was a really great experience. The course was well-structured and easy to follow, and the instructors were very supportive. I liked that the course covered a wide range of topics, from data visualization to natural language processing. One of the things that I found really helpful was the emphasis on practical skills - we worked on a lot of projects and exercises that helped me build my portfolio and gain confidence in my abilities. For example, I worked on a project that involved analyzing Twitter data to predict sentiment, and I was able to use the skills I learned in the course to build a model that achieved 90% accuracy. The course materials were good, but sometimes I felt like they could be more detailed or up-to-date. Overall, I would recommend the course to anyone looking to learn data science, but I would suggest doing some extra reading and practice to get the most out of it.

KN
Kaito Nakamura
JP · Course completed

WOW, just WOW! The Data Science course at Stanmore School of Business was absolutely amazing! I was a bit skeptical at first, but from the very first lesson, I knew I was in for a treat. The instructors were passionate and knowledgeable, and the course content was so relevant and up-to-date. I loved that the course covered not just the technical aspects of data science, but also the business and strategic side of things. For example, we learned about how to communicate insights and results to stakeholders, and how to build a data-driven culture within an organization. The projects were challenging but fun, and I was able to apply the skills I learned to my own work and see real results. The course materials were excellent, and the online community was super supportive and active. I would highly, highly recommend this course to anyone looking to learn data science - it's worth every penny!

RJ
Ruby Jensen
DK · Course completed

I recently completed the Data Science course at Stanmore School of Business, and I must say it was a very solid experience. The course covered a lot of ground, from the basics of statistics and programming to more advanced topics like deep learning and recommender systems. I appreciated that the course was very hands-on, with lots of exercises and projects to work on. For example, I worked on a project that involved building a recommender system for a music streaming service, and I was able to use the skills I learned in the course to build a model that improved user engagement by 30%. The instructors were knowledgeable and provided good feedback, and the course materials were well-organized and easy to follow. One thing that could be improved is the pace of the course - sometimes it felt a bit rushed, and I had to do some extra reading to keep up. Overall, I would recommend the course to anyone looking to learn data science, but I would suggest being prepared to put in some extra work to get the most out of it.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026