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Applied Statistics

A comprehensive online course covering statistical analysis techniques and their practical applications across various industries
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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

Statistical Methods For Data Analysis

2

Regression And Anova

3

Multivariate Techniques

4

Statistical Computing With R

5

Design Of Experiments

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

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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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
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Self-paced · Certificate included · 24/7 access · 60-second start.
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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 absolutely thrilled with the Applied Statistics 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 inference. The course exceeded my expectations in every way. The instructor's ability to break down complex concepts into easily digestible pieces was impressive. I particularly appreciated the section on regression analysis, which has been instrumental in my current project at work. The course materials were top-notch, with clear explanations, relevant examples, and excellent supporting resources. I've already applied the knowledge gained from this course to improve our team's forecasting models, resulting in significant cost savings for our company. If you're serious about mastering applied statistics, look no further than this course.

LH
Leila Hassan
EG · Course completed

I found the Applied Statistics course to be quite informative and helpful in achieving my learning goals. Coming from Egypt, I was a bit concerned about the relevance of the course to my local market, but the examples and case studies were surprisingly diverse and applicable to various regions. The course content was well-structured, starting from the basics of probability and progressing to more advanced topics like time series analysis. I appreciated the practical assignments that allowed us to work with real datasets, which helped solidify my understanding of the concepts. While some of the lectures felt a bit dry at times, the discussion forums were always lively and helpful. Overall, I'm satisfied with the course and feel more confident in my ability to apply statistical techniques in my work as a market researcher.

CS
Catarina Silva
BR · Course completed

Wow, just wow! The Applied Statistics course at Stanmore School of Business was an incredible journey! As a Brazilian student, I was excited to learn from instructors with international experience, and I wasn't disappointed. The course was engaging, challenging, and fun all at the same time. I loved the way the instructors used real-world examples to illustrate complex statistical concepts, making them feel more accessible and interesting. The course materials were excellent, with a great balance of theory and practical applications. I was particularly impressed by the section on machine learning, which opened my eyes to the possibilities of predictive modeling. I've already started working on a project that applies some of the techniques I learned, and I'm excited to see the results. If you're looking for a course that will take your statistical skills to the next level, this is the one!

RK
Rahul Kapoor
IN · Course completed

I recently completed the Applied Statistics course at Stanmore School of Business, and I must say it was a thoroughly enjoyable and enriching experience. As an Indian student, I was pleased to find that the course content was relevant to my professional goals and interests. The instructor's teaching style was clear and concise, with a focus on practical applications and problem-solving. I appreciated the detailed feedback on assignments and the opportunity to discuss topics with fellow students from diverse backgrounds. The course covered a wide range of topics, from descriptive statistics to advanced regression techniques, and I felt that the pace was well-suited to my learning style. While some of the advanced topics felt a bit rushed, the additional resources provided were helpful in filling the gaps. Overall, I'm satisfied with the course and feel that it has enhanced my skills in data analysis and interpretation.





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Recently updated!

April 2026