AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
Overview
This course provides an overview of bachelor-level statistics. You will review the concepts of descriptive and inferential statistics. You will use the statistical software package R on real data to gain insight in these topics.
What you'll learn
- Make and interpret numerical and graphical summaries of datasets.
- Use various techniques to find estimators for unknown parameters and how to compare them.
- Construct and interpret confidence intervals, learn how to perform hypothesis testing in various settings, and know how these two concepts are related.
- Perform simple and multiple linear regression on quantitative and categorical variables.
- Apply certain procedures (resampling, bootstrapping, non-parametric approach) when confronted with non-standard situations.
- Use the R software package to perform all these tasks.
Syllabus 14
- graphical summaries of datasets
- numerical summaries of datasets
- connection with probability theory
- quality of estimators
- methods to obtain estimators
- concepts
- how to perform a test in various settings
- motivation
- how to construct a CI in various settings
- simple and multiple linear regression
- categorical variables
- interpreting output
- parametric and non-parametric approach
- how to deal with non-standard situations
Skills you'll practise
Advantages and disadvantages
Advantages
- University courses you can audit for free, with lectures, readings and practice quizzes.
- A verified certificate from the university if you pay for it.
- From Delft University of Technology, a well-regarded name.
- Self-paced: start any time.
- A clear syllabus (14 parts) you can see before you start.
Disadvantages
- Graded assignments and the certificate need the paid track.
- Audit access can expire a few weeks after the course ends.
- Learning is free, but the certificate costs money.
- Some parts (graded work, certificate) are paid.
Some points apply to every course of this kind; see how we rank.
Free to audit
- Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
- Paid: Graded assignments and the verified certificate (Certificate: $165). Audit access may end after the course closes.
Before you start
Prior knowledge of all the material covered. Some basic calculus will be used, along with some aspects of probability theory: computation of expectation and variance of a random variable with known PDF, the central limit theorem, Bayes’ theorem ... We expect you to be familiar with these topics. This course is a review course. As such we expect that you are already familiar with some basic topics in statistics.
Taught by
- Christophe SmetDr.
- Rik LopuhaäDr.
- Annoesjka CaboProf.
Delft University of Technology is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
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