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Understanding Clinical Research - Behind the Statistics Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
21 days
Duration
21 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this Understanding Clinical Research - Behind the Statistics course offered by Coursera in partnership with University of Cape Town is your first step.

Overview

If you’ve ever skipped over the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. 

Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. 

The Understanding Clinical Research - Behind the Statistics course offered by Coursera in partnership with University of Cape Town offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. 

Key facts

  • To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in - so let’s get started!
  • The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated!

What you'll learn

  • How to make sense of statistical results presented in the published literature and research.
  • An overview of widely used statistical analysis techniques and how to interpret their results.

Skills you'll gain

  • Data Analysis
  • Probability & Statistics
  • General Statistics
  • Critical Thinking

Programme Structure

Courses include:

  • Getting things started by defining study types
  • Describing your data
  • Building an intuitive understanding of statistical analysis
  • The important first steps: Hypothesis testing and confidence levels
  • Which test should you use?
  • Categorical data and analyzing accuracy of results

Key information

Duration

  • Part-time
    • 21 days
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No prior experience required

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.

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