WHAT YOU WILL LEARN
Clarify why likelihood is vital to statistics and knowledge science.
See the connection between conditional and impartial occasions in a statistical experiment.
Calculate the expectation and variance of a number of random variables and develop some instinct.
Determine traits of “good” estimators and have the ability to evaluate competing estimators.
SKILLS YOU WILL GAIN
- Inference
- Statistics
- Information Science
- Chance
- central restrict theorem
- steady random variables
- Bayes’ Theorem
- discrete random variables
About this Specialization
This program is designed to offer the learner with a stable basis in likelihood principle to organize for the broader examine of statistics. It’s going to additionally introduce the learner to the basics of statistics and statistical principle and can equip the learner with the talents required to carry out elementary statistical evaluation of a knowledge set within the R programming language.
This specialization might be taken for educational credit score as a part of CU Boulder’s Grasp of Science in Information Science (MS-DS) diploma provided on the Coursera platform. The MS-DS is an interdisciplinary diploma that brings collectively school from CU Boulder’s departments of Utilized Arithmetic, Laptop Science, Data Science, and others. With performance-based admissions and no software course of, the MS-DS is good for people with a broad vary of undergraduate schooling and/or skilled expertise in pc science, data science, arithmetic, and statistics. Study extra in regards to the MS-DS program at https://www.coursera.org/levels/master-of-science-data-science-boulder.
Emblem tailored from picture by Christopher Burns on Unsplash.
Utilized Studying Challenge
Learners will follow new likelihood abilities. together with elementary statistical evaluation of knowledge units, by finishing workout routines in Jupyter Notebooks. As well as, learners will take a look at their data by finishing benchmark quizzes all through the programs.
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