About this Course

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Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete
English

What you will learn

  • Calculate continuous data measures

  • Interpret data visualizations

  • Analyze binary data

  • Analyze time to event data

Skills you will gain

StatisticsNormal Distributionsummary measuresbinary data

Learner Career Outcomes

20%

started a new career after completing these courses

22%

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.
Beginner Level

The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.

Approx. 14 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(1,822 ratings)Info
Week
1

Week 1

1 hour to complete

The Role of Statistics in Public Health Research

1 hour to complete
6 videos (Total 64 min)
6 videos
Introduction and Overview11m
Samples Versus Population11m
Considerations with Regard to Study Design22m
Data Types and Summarization8m
Additional Examples9m
1 practice exercise
Practice Quiz: The Role of Statistics in Public Health Research
4 hours to complete

Continuous Data Measures

4 hours to complete
6 videos (Total 88 min)
6 videos
Useful Summary Statistics24m
Visual Displays16m
The Role of Sample Size on Sample Based Estimates16m
Comparing Distributions of Continuous Data16m
Additional Examples11m
2 practice exercises
Practice: Continuous Data Measures1h
Continuous Data Measures1h 20m
Week
2

Week 2

3 hours to complete

The Normal Distribution

3 hours to complete
5 videos (Total 75 min)
5 videos
The Standard Normal Distribution Defined19m
Applying the Principles of the Normal Distribution to Sample Data to Estimate Characteristics of Population Data26m
What Happens When We Apply the Properties of the Normal Distribution to Data Not Approximately Normal: A Warning13m
Additional Examples12m
2 practice exercises
Practice: The Normal Distribution30m
The Normal Distribution1h
Week
3

Week 3

3 hours to complete

Binary Data

3 hours to complete
6 videos (Total 78 min)
6 videos
Binary Data: Definition and Summarization (Binomial Distribution, P-Hat, SD)11m
Comparing Distributions of Binary Data: Risk Difference and Relative Risk22m
Comparing Distributions of Binary Data: Odds Ratios16m
A Brief Note About Ratios (Will Also Be Revisited Later in the Course)12m
Additional Examples13m
2 practice exercises
Practice: Binary Data30m
Binary Data1h
Week
4

Week 4

2 hours to complete

Dealing with the Element of Time

2 hours to complete
6 videos (Total 85 min)
6 videos
Time to Event Data: Definition (Censoring) and Numerical Summary Measures (Incidence Rates)24m
Numerically Comparing Groups on Time to Event Outcomes11m
Summarizing Time-to-Event Data, Graphically27m
Graphically Comparing Groups on Time to Event Outcomes9m
Additional Examples10m
2 practice exercises
Practice: Dealing with the Element of Time
Dealing with Elements of Time1h
2 hours to complete

Course Project

2 hours to complete
1 reading
1 reading
Biostatistical Consulting Project30m
1 practice exercise
Course Project Quiz1h

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Biostatistics in Public Health

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