Data Science Foundations: Statistical Inference Specialization

This course - Data Science Foundations: Statistical Inference - is aimed to give students a firm foundation in probability theory in order to prepare them for a more in-depth study of statistics. It will also teach the learner the principles of statistics and statistical theory, as well as the skills needed to do basic statistical analysis on a data set using the R programming language. This is one of the best online Statistical Inference courses.

This specialization is part of CU Boulder's Master of Science in Data Science (MS-DS) degree, which is available on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from the Applied Mathematics, Computer Science, Information Science, and other departments at CU Boulder. The MS-DS is excellent for persons with a broad variety of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics, as it is based on performance rather than application.

Learners will put their new probability abilities to the test. by completing exercises in Jupyter Notebooks, including fundamental statistical analysis of data sets Learners will also be able to put their knowledge to the test by taking benchmark quizzes throughout the course.

What you will learn

• Explain the significance of probability in statistics and data science.
• In a statistical experiment, look at the link between conditional and independent events.
• Calculate the variance and expectation of various random variables and gain some insight.
• Recognize "excellent" estimator qualities and be able to compare rival estimators.

Skills you will gain

• Inference
• Statistics
• Data Science
• Probability
• Central limit theorem
• Continuous random variables
• Bayes' Theorem
• Discrete random variables

Instructor: Anne Dougherty, Jem Corcoran

Coursera rate: 4.1/5.0, 47 ratings

Offered by: University of Colorado Boulder

Enroll here: https://www.coursera.org/specializations/statistical-inference-for-data-science-applications