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Statistical Methods for Data Science

Learn foundational statistical techniques, hypothesis testing, regression, and machine learning integration to analyze and interpret complex data in real-world effectively
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2 months to complete
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Overview

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Learning outcomes

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Course content

1

Exploratory Data Analysis

2

Probability Theory

3

Statistical Inference

4

Regression Modeling

5

Time Series Analysis

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

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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
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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 Business and Administration
  • 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 blown away by the 'Statistical Methods for Data Science' course at Stanmore School of Business! As a data analyst from the United States, I was looking to enhance my skills in statistical modeling and machine learning. This course exceeded my expectations in every way. The instructor's explanations were crystal clear, and the course materials were top-notch. I particularly appreciated the hands-on exercises and real-world examples that helped me grasp complex concepts like regression analysis and hypothesis testing. The course has been a game-changer for my career, and I've already applied the knowledge I gained to improve our company's predictive models. Kudos to Stanmore School of Business for offering such a high-quality course!

LH
Leila Hassan
EG · Course completed

I recently completed the 'Statistical Methods for Data Science' course at Stanmore School of Business, and I must say it was a great learning experience. As a researcher from Egypt, I was looking to improve my statistical skills to analyze data for my projects. The course covered a wide range of topics, from descriptive statistics to advanced machine learning techniques. I found the course materials to be well-structured and easy to follow, and the instructor's support was excellent. One thing that I found particularly useful was the discussion forum, where I could interact with other students and get feedback on my assignments. Overall, I'm satisfied with the course, and I feel more confident in my ability to analyze and interpret data. However, I think some of the topics could have been explored in more depth.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Statistical Methods for Data Science' course at Stanmore School of Business was an incredible journey! As a data scientist from Japan, I was looking to upgrade my skills in statistical modeling and programming. This course delivered on all fronts. The instructor was super knowledgeable and enthusiastic, and the course materials were cutting-edge. I loved the interactive coding exercises and the group projects, which helped me develop practical skills in data visualization and machine learning. The course has been a huge confidence booster, and I've already started applying the concepts to my work projects. The support team was also very responsive and helpful. I'm so glad I took this course, and I highly recommend it to anyone looking to boost their data science skills!

RS
Rafaela Silva
BR · Course completed

I've just finished the 'Statistical Methods for Data Science' course at Stanmore School of Business, and I'm really pleased with the experience. As a graduate student from Brazil, I was looking to improve my statistical knowledge to pursue a career in data science. The course was very well-organized, and the instructor did a great job of explaining complex concepts in a clear and concise manner. I appreciated the variety of topics covered, including probability, inference, and regression analysis. The course materials were also very relevant and up-to-date. One thing that I found particularly helpful was the feedback on my assignments, which helped me identify areas for improvement. Overall, I'm happy with the course, and I feel more prepared to tackle data science challenges. However,! I think some of the assignments could have been more challenging.





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Recently updated!

April 2026