• King's College London logo
  • Syria Dev Centre Logo
  • Logo
New

Statistical Analysis for Health Research

Develop a solid understanding of the statistical analysis techniques commonly used in health research with King’s College London.

Two doctors analysing data on a computer screen.

Statistical Analysis for Health Research

  • 4 weeks

  • 4 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

Gain an introduction to descriptive statistics

Statistical analysis is hugely important in health research to help gather and analyse data in a meaningful way.

On this three-week course, you’ll develop a firm understanding of the statistical analysis techniques commonly used in health research, arming you with practical skills you can immediately start using.

Beginning with descriptive statistics, you’ll explore the basic diagnostic and epidemiological measures, and gain an understanding of how data is used in health research.

Explore inferential statistics in conflict health research

Next, you’ll look at the specific areas of inferential statistics in conflict health research.

Within this, you’ll discover hypothesis testing, regression analysis, and how to assess the impact of a healthcare intervention. You’ll then unpack real-life scenarios to help you gain practical skills in conflict health research.

Become empowered as a health researcher

To help you master health research analysis, you’ll take part in an online workshop on data analysis tools in conflict-affected settings.

You’ll learn to use Excel and SPSS in data analysis to help you bring meaning to your data, empowering you as a health researcher.

Learn how to choose the right statistical test

Finally, you’ll discover the strategies for choosing appropriate statistical tests based on research questions and data types.

Armed with this knowledge, you’ll understand how to use the many facets of statistical analysis to improve your health research and extract meaningful insights to use in your work.

Syllabus

  • Week 1

    Introduction to Descriptive Statistics

    • Understanding Data in Health Research

      Welcome to week 1! Here we'll lay the foundations for your exploration of statistical analysis in health research amid conflict. This lesson will introduce you to key concepts and terminology in statistical analysis.

  • Week 2

    Inferential Statistics in Conflict Health Research

    • Exploring Inferential Statistics and Hypothesis Testing in Conflict Health Research

      Unveiling Inferential Statistics in Conflict Health Research" Explore hypothesis testing, essential in scarce-resource settings. Learn how to apply tests, interpret results, and make informed healthcare decisions.

  • Week 3

    Regression Analysis in Conflict Health Research

    • Decoding Regression Analysis: Practical Insights for Conflict Health Research

      Explore vital lessons, models, and applications in conflict health research. Decode data for informed decisions.

  • Week 4

    Mastering Health Research Analysis: Excel, SPSS, and Beyond

    • Empowering Health Researchers: A Practical Workshop on Data Analysis Tools in Conflict-Affected Settings

      Join our "Health Research Empowerment" workshop for practical data analysis skills in conflict settings. Learn from Excel basics to SPSS insights, empowering yourself to enhance healthcare outcomes.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Understand the importance of statistical analysis in health research.
  • Choose appropriate statistical tests based on research questions and data types.
  • Perform basic data preprocessing and descriptive statistics.
  • Conduct hypothesis testing and interpret p-values and confidence intervals.

Who is the course for?

This course is designed for healthcare professionals, academics, and researchers in the healthcare sector.

Who will you learn with?

Yamama is a Syrian family doctor in training in the UK. Holds an MSc. in Evidence Based Healthcare from Oxford University, and is a researcher at King’s College London in medical education in conflict

Abdulkarim is a Syrian medical doctor and an epidemiologist. Currently, his work at King's College focuses on building the capacity to research health in conflict in the middle east.

Dr. Safwan, Chairman of Syrian Board of Medical Specialties, is an MD. who has an MSc in Anesthesiology from Damascus Uni. Currently, he is studying for an MSc in Medical Education at South Wales Uni.

Who developed the course?

King's College London

King’s College London, established in 1829 and a founding college of the University of London, is one of the world’s leading research and teaching universities, based in the very heart of London.

Syria Development Centre

The Syria Development Centre is an enterprise founded and run by Syrians, for Syria. As refugees, migrants, and dual nationals in world-leading academic centres and corporations we founded this centre to take an active role in development, as it happens in Syria.

Syrian Board of Medical Specialities

The Syrain Board of Medical Specialties SBOMS is a scientific professional academic board that awards a unified certificate called Specialization Certificate of Syrian Board of Medical Specialties to all trainee doctors in various specialties after they accomplish the training period curriculum accredited in SBOMS-approved medical facilities and pass the required examinations.

Ways to learn

Buy this course

Subscribe & save

Limited access

Choose the best way to learn for you!

$134/one-off payment

$349.99 for one year

Automatically renews

Free

Fulfill your current learning needDevelop skills to further your careerSample the course materials
Access to this courseticktick

Access expires 18 Jul 2024

Access to 1,000+ coursescrosstickcross
Learn at your own paceticktickcross
Discuss your learning in commentstickticktick
Certificate when you're eligiblePrinted and digitalDigital onlycross
Continue & Upgrade

Cancel for free anytime

Ways to learn

Choose the best way to learn for you!

Subscribe & save

$349.99 for one year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$134/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access

Free

Sample the course materials

  • Access expires 18 Jul 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

Learning on FutureLearn

Your learning, your rules

  • Courses are split into weeks, activities, and steps to help you keep track of your learning
  • Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
  • Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

  • Experience the power of social learning, and get inspired by an international network of learners
  • Share ideas with your peers and course educators on every step of the course
  • Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

  • As you work through the course, use notifications and the Progress page to guide your learning
  • Whenever you’re ready, mark each step as complete, you’re in control
  • Complete 90% of course steps and all of the assessments to earn your certificate

Want to know more about learning on FutureLearn? Using FutureLearn

Do you know someone who'd love this course? Tell them about it...