Introduction to Statistics & Data Analysis in Public Health
Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series.
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- Level Foundation
- المدة 16 ساعات hours
- الطبع بواسطة Imperial College London
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Offered by
عن
Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed.الوحدات
Welcome to Imperial College London
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5
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1
Discussion
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1
Plugin
1
Discussions
- Nice to meet you!
5
Readings
- About Imperial College & the Team
- How to be successful in this course
- Grading policy
- Data set and Glossary
- Additional Reading
The Role of Statistics in Public Health
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5
Videos
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2
Readings
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1
Discussion
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2
Assignment
2
Assignment
- Parkinson's Disease Study Issues
- Research Question Formulation
1
Discussions
- Parkinson's Disease Treatment Reports
5
Videos
- Introduction to Statistical Thinking for Public Health
- Uses of Statistics in Public Health
- Introduction to Sampling
- How to Formulate a Research Question
- Formulating a research question for the Parkinson's disease and supplement studies
2
Readings
- John Snow and the Cholera outbreak of 1849
- Instructions for Quiz
Types of Variables
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2
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Discussion
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2
Assignment
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Assignment
- Types of variables
- Special case of age
2
Discussions
- Share and Reflect: Mortality Data
- Share and Reflect: Estimating the distribution
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Videos
- Introduction to variables, distribution and sampling
- Overview of types of variables
1
Readings
- Types of variables and the special case of age
Distributions and Sampling
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4
Videos
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Readings
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1
Discussion
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3
Assignment
3
Assignment
- Well-behaved Distributions
- Ways of Dealing with Weird Data
- Sampling
1
Discussions
- Ways of selecting samples
4
Videos
- Well-behaved Distributions
- Real-world Distributions and their Problems
- The Role of Sampling in Public Health Research
- How to choose a Sample
2
Readings
- More on the 95% Confidence Interval
- Using your sample to estimate the population mean
Describing Distributions Using Percentiles
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1
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1
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2
Assignment
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Assignment
- Distributions and Medians
- Calculations: Percentiles by Hand
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Videos
- How to describe distributions of real data
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Readings
- How to Calculate Percentiles
Introduction to R and Descriptive Analysis
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1
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9
Readings
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1
Discussion
1
Discussions
- Share and Reflect: Results of the Descriptive Analysis
1
Videos
- How to Load Data and run Basic Tabulations in R
9
Readings
- Introduction to R
- R Resources
- Practice with R: Perform Descriptive Analysis
- Feedback: Descriptive Analysis
- How to judge visually if a variable is normally distributed in R
- Practice with R - trying it out for yourself
- Extra features in R
- Practice with R: Extra features
- Feedback: Extra features
Hypothesis Testing in R
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4
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14
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2
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5
Assignment
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Assignment
- Hypothesis Testing
- The Coin Tossing Experiment: Evaluation
- Results: Running a New Hypothesis Test
- Hypothesis Testing
- End-of-course Assessment
2
Discussions
- Share and Discuss: Sample Size and Variation
- Share and Reflect: Results of Hypothesis Testing in R
4
Videos
- Sampling errors for proportions and central limit theorem
- Hypothesis Testing
- Choosing the Sample Size for your Study
- Summary of Course
14
Readings
- The Coin Tossing Experiment: Part I
- The Coin Tossing Experiment: Part II
- The Coin Tossing Experiment: Feedback
- Degrees of Freedom
- The chi-squared test with fruit and veg
- Feedback: Sample Size and Variation
- Comparing Two Means
- Practice with R: Hypothesis Testing
- Feedback: Hypothesis Testing in R
- The Difference between t-test and Chi-squared test
- Practice with R: Running a New Hypothesis Test
- P values and Thresholds
- Deaths data set for the end-of-course Assessment
- Final R code
Auto Summary
Dive into the core of statistical analysis with "Introduction to Statistics & Data Analysis in Public Health." Ideal for those in Health & Fitness, this Coursera course, led by expert instructors, covers essential topics like variable types, distributions, and hypothesis testing using the versatile R software. Over 960 minutes, engage with real-world data, hands-on exercises, and mini-quizzes to enhance your critical thinking. Suitable for beginners with basic numeracy, the course offers Starter, Professional, and Paid subscription options. Perfect for those looking to build a solid foundation in public health data analysis.
Alex Bottle