Free preview available
London, United Kingdom · Study online with UKSM

Statistical Modeling and Machine Learning

Learn to build predictive models using statistical theory, data exploration, regression, classification, and machine learning algorithms for real‑world applications today
Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
2502 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

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Statistical Inference And Probability

2

Regression Analysis And Generalized Linear Models

3

Machine Learning Algorithms And Optimization

4

Bayesian Methods And Hierarchical Modeling

5

Time Series Analysis And Forecasting

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 Planning and Management
  • 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'm absolutely thrilled with the 'Statistical Modeling and Machine Learning' course at Stanmore School of Business! As a data analyst from the United States, I was looking to enhance my skills in predictive modeling, and this course exceeded my expectations. The instructor's explanations of regression analysis and neural networks were crystal clear, and the assignments helped me apply these concepts to real-world problems. I appreciated the relevance of the course materials, which included case studies on customer segmentation and credit risk assessment. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone interested in statistical modeling and machine learning.

LS
Leandro Silva
BR · Course completed

The 'Statistical Modeling and Machine Learning' course at Stanmore School of Business was a great experience for me. I'm from Brazil, and I was looking for a course that would help me improve my skills in data science. The course content was well-structured, and the instructor did a good job of explaining the concepts of supervised and unsupervised learning. I found the practical exercises on clustering and decision trees to be particularly helpful. One thing that could be improved is the discussion forum, which was a bit slow to respond to questions. Nevertheless, I'm happy with the course and would recommend it to others.

AH
Amira Hassan
EG · Course completed

Wow, what an amazing course! I'm so grateful to have had the opportunity to take 'Statistical Modeling and Machine Learning' at Stanmore School of Business. As a student from Egypt, I was a bit worried about the difficulty level, but the instructor was superb, and the course materials were top-notch. I loved the way the course was structured, with a focus on practical applications of machine learning algorithms. The assignments were challenging, but they helped me gain hands-on experience with tools like Python and R. I'm now confident in my ability to apply statistical modeling and machine learning techniques to real-world problems, and I couldn't be happier with the course!

SR
Siti Rahman
SG · Course completed

I recently completed the 'Statistical Modeling and Machine Learning' course at Stanmore School of Business, and I must say that it was a valuable learning experience. As a working professional from Singapore, I was looking for a course that would help me upskill in data analytics, and this course delivered. The course content was comprehensive, covering topics like time series forecasting and natural language processing. I appreciated the detailed feedback from the instructor on my assignments, which helped me improve my understanding of the concepts. One area for improvement could be the addition of more industry-specific examples, but overall, I'm satisfied with the course and would recommend it to others in the field.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

April 2026