Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science.
Ce cours fait partie de la Spécialisation Data Science Foundations: Statistical Inference

À propos de ce cours
Sequence in calculus up through Calculus II (preferably multivariate calculus) and some programming experience in R.
Ce que vous allez apprendre
Explain why probability is important to statistics and data science.
See the relationship between conditional and independent events in a statistical experiment.
Calculate the expectation and variance of several random variables and develop some intuition.
Compétences que vous acquerrez
- Probability
- central limit theorem
- continuous random variables
- Bayes' Theorem
- discrete random variables
Sequence in calculus up through Calculus II (preferably multivariate calculus) and some programming experience in R.
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Programme de cours : ce que vous apprendrez dans ce cours
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Descriptive Statistics and the Axioms of Probability
Conditional Probability
Discrete Random Variables
Continuous Random Variables
Avis
- 5 stars75,25 %
- 4 stars12,37 %
- 3 stars2,06 %
- 2 stars2,06 %
- 1 star8,24 %
Meilleurs avis pour PROBABILITY THEORY: FOUNDATION FOR DATA SCIENCE
Need to brush up integral calculus for thios course. Something I haven't looked at for 40 years.
The instructor is very good, more examples need to be added, there are mistakes in the evaluation
This is a great course on probability. Although I felt like it was too easy and should include more PDFs (such as Beta and Gamma) and random variable transformations.
This is an excellent course to review foundational probability concepts. The instructor speaks clearly and goes through examples thoroughly for each concept.
À propos du Spécialisation Data Science Foundations: Statistical Inference

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