Imperial College London Courses

Creative Thinking: Techniques and Tools for Success

15 reviews

This course will equip you with a ‘tool-box’, introducing you to a selection of behaviours and techniques that will augment your innate creativity.

• Coursera
• 19 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Mathematics for Machine Learning: Multivariate Calculus

9 reviews

Explore multivariate calculus essentials for machine learning, covering gradients, chain rule, Taylor series, and optimization techniques, with practical applications in neural networks and regression.

• Coursera
• 17 hours 45 minutes
• On-Demand
• Free Online Course (Audit)

Mathematics for Machine Learning: Linear Algebra

9 reviews

Explore linear algebra fundamentals and their applications in machine learning, covering vectors, matrices, eigenvalues, and practical implementations in Python for data-driven tasks.

• Coursera
• 18 hours 50 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis Essentials

7 reviews

Discover and acquire the quantitative data analysis skills that you will typically need to succeed on an MBA program. This course will cover the fundamentals of collecting, presenting, describing and making inferences from sets of data.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Science Matters: Let's Talk About COVID-19

6 reviews

Welcome to this Science Matters on the Novel Coronavirus (COVID19) - a free course to learn about the science underpinning the outbreak response.

• Coursera
• 16 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Mathematics for Machine Learning: PCA

3097 ratings at Coursera

Explore mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.

• Coursera
• 20 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention

179 ratings at Coursera

This course is all about infectious diseases. We’ve selected four disease areas — HIV, Malaria, Emerging Infectious Diseases (Ebola and Zika), and TB — and we will go through each in turn.

• Coursera
• 18 hours
• On-Demand
• Free Online Course (Audit)

A-level Mathematics for Year 12 - Course 1: Algebraic Methods, Graphs and Applied Mathematics Methods

14 ratings at edX

Develop your thinking skills, fluency and confidence to aim for an A* in A-levelmaths and prepare for undergraduate STEM degrees.

• edX
• 7 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Measuring Disease in Epidemiology

749 ratings at Coursera

Explore fundamental epidemiological tools for measuring disease frequency, quantifying associations, evaluating prevention strategies, and assessing diagnostic tests and screening programs.

• Coursera
• 10 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Study Designs in Epidemiology

591 ratings at Coursera

Explore key epidemiological study designs, from cross-sectional to randomized controlled trials. Develop skills to choose optimal designs for research questions, considering time and resources available.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Validity and Bias in Epidemiology

239 ratings at Coursera

Explore validity, bias, confounding, and effect modification in epidemiological research. Learn to identify, prevent, and control these factors for accurate study results and causal inference.

• Coursera
• 7 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Linear Regression in R for Public Health

506 ratings at Coursera

Aprenda a criar modelos estatísticos em R para analisar fatores que afetam doenças e resultados de saúde, focando em regressão linear e suas aplicações em saúde pública.

• Coursera
• 15 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Statistics & Data Analysis in Public Health

1472 ratings at Coursera

Learn essential statistical analysis for public health using R. Covers variables, distributions, hypothesis testing, and data interpretation. Gain practical skills to analyze real-world datasets and critically evaluate research findings.

• Coursera
• 15 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Foundations of Public Health Practice: The Public Health Toolkit

65 ratings at Coursera

In this course we cover health needs assessment, evaluation and public health intelligence-approaches.

• Coursera
• 14 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

Foundations of Public Health Practice: The Public Health Approach

450 ratings at Coursera

The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on decades of real-world public health experience as well as deep academic knowledge.

• Coursera
• 12 hours 52 minutes
• On-Demand
• Free Online Course (Audit)