Limited spots — Enrol now and start immediately
Home / Courses / Statistics for Data Analysis
London, United Kingdom · Study online with SSB

Statistics for Data Analysis

Learn essential statistical techniques, hypothesis testing, regression, and data visualization to derive actionable insights from real-world datasets efficiently for decision-making
Free preview available
Preview Unit 1 first
Free · No signup · No credit card · No payment
4414 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
4414+
Enrolled
4.5★
Rating
5
Units
150+
Countries

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Descriptive Statistics

2

Probability Theory

3

Statistical Inference

4

Regression Analysis

5

Time Series Analysis

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 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 Kingdom
EP
Emily Patel
GB · Course completed

I recently completed the Statistics for Data Analysis course at Stanmore School of Business and I must say, it was an absolute game-changer! The course content was incredibly comprehensive and well-structured, covering everything from descriptive statistics to advanced regression analysis. The practical examples and case studies really helped me to understand the concepts and apply them to real-world problems. I was particularly impressed by the quality of the course materials, which were always up-to-date and relevant. The instructors were also very supportive and provided excellent feedback throughout the course. Overall, I'm so glad I took this course - it's really helped me to achieve my learning goals and I feel much more confident in my ability to analyze and interpret data. I would highly recommend this course to anyone looking to improve their statistical skills!

LC
Liam Chen
US · Course completed

I took the Statistics for Data Analysis course at Stanmore School of Business and it was a great experience. The course covered a lot of material, but the instructors did a good job of breaking it down into manageable chunks. I really appreciated the emphasis on practical skills - we got to work on a lot of real-world examples and case studies, which helped me to see how the concepts could be applied in different contexts. One thing that really stood out to me was the discussion forum, where we could ask questions and get feedback from the instructors and other students. It was a really supportive community and I learned a lot from my fellow students. Overall, I'd definitely recommend this course to anyone looking for a solid introduction to statistics and data analysis.

AM
Ava Moreno
ES · Course completed

Wow, just wow! The Statistics for Data Analysis course at Stanmore School of Business was absolutely amazing! I was a bit nervous about taking a course in statistics, but the instructors were so enthusiastic and supportive that they made the subject really come alive. The course materials were top-notch - the videos were engaging, the readings were relevant, and the quizzes were challenging but fair. I loved the fact that we got to work on a lot of different types of projects, from simple data visualization to more complex machine learning models. It really helped me to see the breadth of applications for statistical analysis and to develop my skills in a range of areas. I'm so glad I took this course - it's been a real career-changer for me and I feel like I have a whole new set of skills and knowledge to offer my employer.

EK
Ethan Kim
AU · Course completed

The Statistics for Data Analysis course at Stanmore School of Business was a really solid course that covered a lot of ground. The instructors were knowledgeable and provided good feedback throughout the course. I appreciated the fact that the course was structured in a logical and methodical way, with each module building on the previous one. The course materials were also well-organized and easy to follow. One thing that I found particularly helpful was the focus on data visualization - we learned how to use a range of different tools and techniques to communicate complex data insights effectively. I also appreciated the fact that the course included a lot of real-world examples and case studies, which helped to make the concepts more concrete and relevant. Overall, I'd recommend this course to anyone looking for a comprehensive introduction to statistics and data analysis.


Limited spots — Enrol Now



Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

March 2026