Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Understanding Clinical Research: Behind the Statistics certification is a 27 hours course in fully online mode. For the course of 23 hours, you will learn about some of the common statistics concepts which will help not only beginners but also working professionals. To start your journey with the help of Understanding Clinical Research: Behind the Statistic certification by Coursera, you do not need to solve complex problems of mathematics. You can master this course with simple statistical analysis.
You can interpret published literature and also can undertake your research. Dr. Juan H Klopper is the instructor of the course Undertaking Clinical Research: Behind the Statistics and has a 4.8 rating as an instructor. This certificate is offered by the University of Cape Town which is the oldest university in South Africa. By the end of the Understanding Clinical Research: Behind the Statistics training you will definitely gain confidence in understanding statistical analysis.
The Highlights
- Flexible Deadlines.
- Offered by the University of Cape Town.
- 100% Online.
- 27 hours of Course
Programme Offerings
- Certificate of completion
- assessments
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2414 | yes | Coursera |
There are two ways to Understanding Clinical Research: Behind the Statistics certification fees. The one option is if you want to access the course without certification. For a free course, you do not have to pay anything. The second option is the paid version of course. In this course, you will be provided with a certificate from The University of Cape Town.
Understanding Clinical Research: Behind the Statistics Fee
Mode of Enrolment | Fee |
Paid Course with certification | Rs.2,414 |
Full course with No Certificate | Free |
Eligibility Criteria
Certification Qualifying Details
To earn a certificate, the candidate needs to pass all the assignments to get good grades. The assignments can be practice exercises, videos, reading, peer-graded assignments, quizzes, and programming assignments.
What you will learn
Upon successful completion of the Understanding Clinical Research: Behind the Statistics certification course you will be able to understand research work. It also provides you with a great platform if you are a keen practitioner and want to perform your own research. Understanding Clinical Research: Behind the Statistics certification syllabus will help you to expand your knowledge of statistics with real examples. This course will help you to read and write research papers with your understanding.
Who it is for
The course Understanding Clinical Research: Behind the Statistics classes is ideal for candidates who want to become any of the following:
Admission Details
To apply for the Understanding Clinical Research: Behind the Statistics online course you will have to follow these instructions:
Step 1: Log in to https://www.coursera.org/
Step 2: Click on Browse> Health> Research or you can directly access the course through https://www.coursera.org/learn/clinical-research
Step 3: Click on the “Enrol for Free” option.
Step 4: If you want a paid Course, click on the option of “Paid certificate” else wise select the free course.
Step 5: For paid certificate select the payment option and pay the amount and then you are ready to access the course.
Step 6: For the free course, you can directly access the course by just filling up a simple form. You can also skip the form and directly access the course.
Application Details
If the candidate wants to enrol in the paid course, he/she has to pay the amount through their portal. Payment options of UPI, EMI, and Net Banking are available.For the free course, you just need to fill up a form that contains information about your previous work experience, your current location, and the like.
The Syllabus
Videos
- Introduction to Understanding Clinical Research
- About the course
- Observing and intervening: Observational & experimental studies
- Observing and describing: Case series studies
- Comparing groups: Case-control studies
- Collecting data at one point in time: Cross-sectional studies
- Studying a group with common traits: Cohort studies
- Let's intervene: Experimental studies
- Working with existing research: Meta-analysis and Systematic Review
- Doing a literature search: Part 1
- Doing a literature search: Part 2
Readings
- How this course works
- Pre-course survey
- Study types
- Key notes: Observational and experimental studies
- Key notes: Case series studies
- Key notes: Case-control studies
- Key notes: Cross-sectional studies
- Key notes: Cohort studies
- Key notes: Experimental studies
- Key notes: Meta-analysis and systematic review
- Peer review introduction
Practice Exercise
- Test your knowledge: Study types
Peer Review
- Week 1: Navigating Clinical Research
Discussion Prompt
- Introduce yourself
Videos
- Introduction
- Some key concepts: Definitions
- Data types
- Arbitary classification: Nominal categorical data
- Natural ordering of attributes: Ordinal categorical data
- Measurements and numbers: Numerical data types
- How to tell the difference: Discrete and continuous variables
- Introduction
- Measures of central tendency
- Measures of dispersion
- (Optional) Setting up spreadsheets to do your own analysis
- (Optional) Descriptive statistics using spreadsheets
- Making inferences: Sampling
- Types of sampling
- Case study 1
Readings
- Key notes: Definitions
- Key notes: Data types
- Key notes: Nominal categorical data
- Key notes: Ordinal categorical data
- Key notes: Numerical data types
- Key notes: Discrete and continuous variables
- Key notes: Describing the data
- Key notes: Measures of central tendency
- Key notes: Measures of dispersion
- Visual representation of data
- Key notes: Sampling
- Key notes: Types of sampling
Practice Exercises
- Test your knowledge: Data types
- Test your knowledge: Measures of central tendency and dispersion
- Test your knowledge: Sampling
- Week 2 Graded Quiz
Peer Review
- Identify measures of central tendency and dispersion Share an example of clinical research
Discussion Prompt
- Share an example of clinical research
Videos
- P-values: P is for probability
- Working out the probability: Rolling dice
- Area under the curve: Continuous data types
- Introduction to the central limit theorem: The heart of probability theory
- Asymmetry and peakedness: Skewness and Kurtosis
- Learning from the lotto: Combinations
- Approximating a bell-shaped curve: The central limit theorem
- Patterns in the data: Distributions
- The bell-shaped curve: Normal distribution
- Plotting a sample statistic: Sampling distribution
- Standard normal distribution: Z distribution
- Estimating population parameters: t-distribution
- (Optional) Generating random data point values using spreadsheet software
- Case study 2
Readings
- Key notes: P-values
- Key notes: Rolling dice
- Key notes: Continuous data types
- Introduction to the central limit theorem
- Key notes: Skewness and kurtosis
- Key notes: Combinations
- Key notes: Central limit theorem
- Key notes: Distributions
- Key notes: Normal distribution
- Key notes: Sampling distribution
- Key notes: Z-distribution
- Key notes: The t-distibution
Practice Exercises
- Test your knowledge: Probability
- Test your knowledge: The central limit theorem
- Test your knowledge: Distributions
- Week 3 Graded Quiz
Videos
- Introduction to Hypothesis Testing
- Testing assumptions: Null and alternative hypothesis
- Is there a difference?: Alternative Hypothesis
- Type I and II: Hypothesis testing errors
- Introduction to confidence intervals
- How confident are you?: Confidence levels
- Interval estimation: Confidence intervals
- (Optional) Calculating confidence intervals using spreadsheet software
Readings
- Key notes: Null and alternative hypothesis
- Key notes: Alternative hypothesis
- Key notes: Hypothesis errors
- Key notes: Introduction to confidence intervals
- Key notes: Confidence levels
- Key notes: Confidence intervals
Peer Review
- Week 4 Peer review
Practice Exercises
- Testing your knowledge: Hypothesis
- Test your knowledge: Confidence intervals
Videos
- Introduction to parametric tests
- Student's t-test
- ANOVA
- Linear Regression
- (Optional) Student's t-test in action
- Introduction to nonparametric tests
- Checking for normality
- Thinking nonparametrically
- Comparing paired observations: Signs
- Ordering values: Ranking
- Paired comparisons: Sign ranks
- Summation of ranks: Rank sums
- Comparing two populations: Mann-Whitney-U test
- More nonparametric tests
- Case study 3
Readings
- Key notes: Parametric tests
- Key notes: Student's t-test
- Key notes: ANOVA
- Key notes: Linear regression
- Key notes: Nonparametric tests
- Key notes: Nonparametric tests
Practice Exercises
- Test your knowledge: Parametric tests
- Test your knowledge: Non-parametric tests
- Week 5 Graded Quiz
Videos
- Introduction to comparing categorical data
- Observed frequencies: Contingency tables
- Comparing observed and expected values: Chi-square test
- Association between two variables: Fisher's exact test
- (Optional) Calculating the chi-square test using spreadsheet software
- Introduction to sensitivity and specificity
- Measuring performance: Sensitivity and specificity
- Proportions of results: Positive and negative predictive values
- Introdution to risk and odds ratios
- Risk and odds ratios - Losses (Risk)
- Risk and odds ratios - Losses (Odds)
- Risk and odds ratios - Wins
- Risk and odds ratios example
Readings
- Key notes: Comparing categorical data
- Keynotes: Sensitivity, specificity, positive and negative predictive values
- Congratulations on completing the course
- Risk and odds ratios
Practice Exercises
- Testing your knowledge: Comparing categorical data
- Test your knowledge: Sensitivity, specificity and predictive values
- Week 6 Final examination
- Honors: Risk and odds ratios
Instructors
UCT Cape Town Frequently Asked Questions (FAQ's)
The duration of the course is 27 hours.
Upon enrollment, you will be granted access to a comprehensive range of course materials, which encompasses graded assignments, peer-graded assignments, videos, quizzes, and various other resources.
The mode of this programme is online.
If you are unable to afford the enrollment fee, it is still possible for you to apply for a scholarship. You will be required to respond to a series of questions regarding your employment status in the application form.
Generally, students from a medical background are eligible for this course.
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