Comprehensive intro to probability and statistics. Prepare for courses and work in natural science, data science, engineering, finance, medicine, more. Covers basic concepts, study of random variables, probability distributions and applications. Video course.
Summary
Probability is the branch of mathematics that deals with random phenomena. Using real-world examples, this comprehensive introduction to probability and statistics can help prepare you for coursework and research in natural science, engineering, finance, medicine, data science and other fields. The course starts with a discussion of basic probability concepts, followed by the study of random variables as well as common probability distributions and their applications. These topics are typically found in basic probability courses and serve as great preparation for statistics, data science and the professional examination Exam P from the Society of Actuaries.
Featured Products & Technologies: Wolfram Cloud, Wolfram Language
You'll Learn To
Use random variables to simulate probabilities
Identify discrete, continuous and derived distributions
Perform probability computations on different distributions
Apply the principles of probability to real-world data
Summary
Probability is the branch of mathematics that deals with random phenomena. Using real-world examples, this comprehensive introduction to probability and statistics can help prepare you for coursework and research in natural science, engineering, finance, medicine, data science and other fields. The course starts with a discussion of basic probability concepts, followed by the study of random variables as well as common probability distributions and their applications. These topics are typically found in basic probability courses and serve as great preparation for statistics, data science and the professional examination Exam P from the Society of Actuaries.
Featured Products & Technologies: Wolfram Cloud, Wolfram Language
You'll Learn To
Use random variables to simulate probabilities
Identify discrete, continuous and derived distributions
Perform probability computations on different distributions
Apply the principles of probability to real-world data
