Critical Evaluation in Data Science: Data, the World, and You
- Offered byFutureLearn
Critical Evaluation in Data Science: Data, the World, and You at FutureLearn Overview
Duration | 6 weeks |
Total fee | ₹3,719 |
Mode of learning | Online |
Difficulty level | Beginner |
Credential | Certificate |
Critical Evaluation in Data Science: Data, the World, and You at FutureLearn Highlights
- Earn a certificate from University of Adelaide
Critical Evaluation in Data Science: Data, the World, and You at FutureLearn Course details
- In an increasingly data-centric world, a working understanding of data analytics and quantitative methods is essential for all members of society.
- This six-week course will teach you fundamental quantitative methods for dealing with data. Armed with this knowledge, you'll be able to interpret and critically evaluate claims you encounter in your day-to-day life.
- Through case studies, you'll explore the foundational concepts in data science and statistical thinking. You'll also discover machine learning and data science methods, and understand both the possibilities and pitfalls of these emerging sciences.
- When presented with claims in the media that are accompanied by statistics, diagrams, and outputs from technologies like AI and machine learning, how can we learn to not be fooled by these claims?
- This course will help you understand misleading statistics and learn how to challenge them when they are presented to you.
- Next, you'll explore the different components of research including research questions, sampling, and variability.
- Using case studies, you'll explore how sampling can go wrong as you learn the best practices. You'll then move on to study design to understand the types of studies you may encounter.
- On the final weeks of the course, you'll explore how bias can infiltrate surveys. You'll also discover basic rules for analysing data to ensure a fair result is achieved.
- Armed with this knowledge, you'll have the confidence to accurately read and interpret the data you are presented with in everyday life.
Critical Evaluation in Data Science: Data, the World, and You at FutureLearn Curriculum
Misleading statistics
Getting started
Introduction to Week 1
Misleading statistics
How to fool the world with percentages
Fermi estimation
Statistics in the media
Bringing it all together
Sampling and variability
Introduction to Week 2
Hempel's Paradox
Sampling
Variability
Sample size and variability
Assessment
Bringing it all together
Study design
Introduction to Week 3
Generalisability
Types of studies
Bringing it all together
Surveys and bias
Introduction to Week 4
Surveys and bias
Leading questions
Bias and precision
Assessment
Bringing it all together
Analysing results
Introduction to Week 5
What type of data is it?
Rules for surveys
Right censoring
Bringing it all together
Sampling gone wrong
Introduction to Week 6
Missing data
The Tinder Example
Experiment design
Over-extrapolation
Filter bubbles
Wald's Planes
Assessment
Bringing it all together
What's next?
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