About this Course

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Learner Career Outcomes

23%

started a new career after completing these courses

19%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 28 hours to complete
English
Subtitles: English

Skills you will gain

Clinical ResearchStatisticsStatistical AnalysisStatistical Hypothesis Testing

Learner Career Outcomes

23%

started a new career after completing these courses

19%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 28 hours to complete
English
Subtitles: English

Instructor

Offered by

University of Cape Town logo

University of Cape Town

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(23,835 ratings)Info
Week
1

Week 1

5 hours to complete

Getting things started by defining study types

5 hours to complete
11 videos (Total 45 min), 11 readings, 2 quizzes
11 videos
About the course2m
Observing and intervening: Observational & experimental studies3m
Observing and describing: Case series studies3m
Comparing groups: Case-control studies3m
Collecting data at one point in time: Cross-sectional studies3m
Studying a group with common traits: Cohort studies4m
Let's intervene: Experimental studies6m
Working with existing research: Meta-analysis and Systematic Review4m
Doing a literature search: Part 14m
Doing a literature search: Part 26m
11 readings
How this course works5m
Pre-course survey5m
Study types10m
Key notes: Observational and experimental studies10m
Key notes: Case series studies10m
Key notes: Case-control studies10m
Key notes: Cross-sectional studies10m
Key notes: Cohort studies10m
Key notes: Experimental studies10m
Key notes: Meta-analysis and systematic review10m
Peer review introduction10m
1 practice exercise
Test your knowledge: Study types30m
Week
2

Week 2

7 hours to complete

Describing your data

7 hours to complete
15 videos (Total 64 min), 12 readings, 5 quizzes
15 videos
Some key concepts: Definitions4m
Data types1m
Arbitary classification: Nominal categorical data1m
Natural ordering of attributes: Ordinal categorical data2m
Measurements and numbers: Numerical data types3m
How to tell the difference: Discrete and continuous variables3m
Introduction1m
Measures of central tendency5m
Measures of dispersion6m
(Optional) Setting up spreadsheets to do your own analysis3m
(Optional) Descriptive statistics using spreadsheets9m
Making inferences: Sampling5m
Types of sampling3m
Case study 19m
12 readings
Key notes: Definitions10m
Key notes: Data types10m
Key notes: Nominal categorical data10m
Key notes: Ordinal categorical data10m
Key notes: Numerical data types10m
Key notes: Discrete and continuous variables10m
Key notes: Describing the data10m
Key notes: Measures of central tendency10m
Key notes: Measures of dispersion10m
Visual representation of data10m
Key notes: Sampling10m
Key notes: Types of sampling10m
4 practice exercises
Test your knowledge: Data types30m
Test your knowledge: Measures of central tendency and dispersion30m
Test your knowledge: Sampling30m
Week 2 Graded Quiz30m
Week
3

Week 3

5 hours to complete

Building an intuitive understanding of statistical analysis

5 hours to complete
14 videos (Total 78 min), 12 readings, 4 quizzes
14 videos
Working out the probability: Rolling dice5m
Area under the curve: Continuous data types4m
Introduction to the central limit theorem: The heart of probability theory1m
Asymmetry and peakedness: Skewness and Kurtosis4m
Learning from the lotto: Combinations4m
Approximating a bell-shaped curve: The central limit theorem4m
Patterns in the data: Distributions2m
The bell-shaped curve: Normal distribution3m
Plotting a sample statistic: Sampling distribution7m
Standard normal distribution: Z distribution9m
Estimating population parameters: t-distribution3m
(Optional) Generating random data point values using spreadsheet software6m
Case study 217m
12 readings
Key notes: P-values10m
Key notes: Rolling dice10m
Key notes: Continuous data types10m
Introduction to the central limit theorem10m
Key notes: Skewness and kurtosis10m
Key notes: Combinations10m
Key notes: Central limit theorem10m
Key notes: Distributions10m
Key notes: Normal distribution10m
Key notes: Sampling distribution10m
Key notes: Z-distribution10m
Key notes: The t-distibution10m
4 practice exercises
Test your knowledge: Probability30m
Test your knowledge: The central limit theorem30m
Test your knowledge: Distributions30m
Week 3 Graded Quiz30m
Week
4

Week 4

4 hours to complete

The important first steps: Hypothesis testing and confidence levels

4 hours to complete
8 videos (Total 33 min), 6 readings, 3 quizzes
8 videos
Testing assumptions: Null and alternative hypothesis3m
Is there a difference?: Alternative Hypothesis4m
Type I and II: Hypothesis testing errors3m
Introduction to confidence intervals3m
How confident are you?: Confidence levels3m
Interval estimation: Confidence intervals3m
(Optional) Calculating confidence intervals using spreadsheet software10m
6 readings
Key notes: Null and alternative hypothesis10m
Key notes: Alternative hypothesis10m
Key notes: Hypothesis errors10m
Key notes: Introduction to confidence intervals10m
Key notes: Confidence levels10m
Key notes: Confidence intervals10m
2 practice exercises
Testing your knowledge: Hypothesis30m
Test your knowledge: Confidence intervals30m

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