Free preview available
Columbus, United States · Study online with LSBA

Data Science

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
3607 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
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Data Exploration

2

Statistical Modeling

3

Machine Learning

4

Data Visualization

5

Big Data Technologies

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

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

You've read the page. The next step is the easy part.

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

Enrol now
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 just completed the Data Science course at Stanmore School of Business and I'm blown away by the quality of the content! The course materials were incredibly relevant and helped me achieve my learning goals. I gained practical knowledge in machine learning, data visualization, and SQL, which I've already applied in my current role. The instructor's examples were spot on, and I appreciated the emphasis on real-world applications. I'm so satisfied with my learning experience that I've already recommended the course to my colleagues. The course exceeded my expectations in every way, and I feel confident in my ability to tackle complex data science projects.

LH
Leila Hassan
EG · Course completed

I found the Data Science course at Stanmore School of Business to be a great introduction to the field. The course content was well-structured, and I appreciated the focus on practical skills. I gained a solid understanding of data preprocessing, feature engineering, and model evaluation, which has been helpful in my work. The course materials were good, but I felt that some topics could have been explored in more depth. Overall, I'm satisfied with my learning experience, and I would recommend the course to others who are looking to get started in data science. One area for improvement could be adding more case studies or group projects to help students apply the concepts in a more collaborative setting.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Data Science course at Stanmore School of Business was amazing! I learned so much about data science and gained practical skills that I can apply immediately. The course content was engaging, and I loved the interactive exercises and quizzes. I felt like I was part of a community, even though it was an online course. The instructor was knowledgeable and responsive, and the course materials were top-notch. I gained a deep understanding of neural networks, natural language processing, and computer vision, which has opened up new career opportunities for me. I'm so enthusiastic about the course that I've already started recommending it to my friends and family. If you're interested in data science, don't hesitate to take this course – you won't regret it!

RS
Raphael Silva
BR · Course completed

I recently completed the Data Science course at Stanmore School of Business, and I must say that it was a great experience. The course content was comprehensive, covering topics such as data wrangling, regression analysis, and hypothesis testing. I appreciated the detailed explanations and examples, which helped me understand complex concepts. The course materials were of high quality, and I liked the fact that they included real-world examples and case studies. One thing that I found particularly helpful was the focus on data storytelling and visualization, which has been invaluable in my work. Overall, I'm satisfied with my learning experience, and I would recommend the course to others who are looking to improve their data science skills. The only suggestion I have is to add more advanced topics, such as deep learning or recommender systems, to the course curriculum.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026