Download Coursera – Data Science Foundations: Statistical Inference Specialization 2023-11

Description

Data Science Foundations: Statistical Inference Specialization, the Data Science Foundations: Statistical Inference Specialization course is published by Coursera Academy. This program is designed to give the learner a solid foundation in probability theory to prepare for the broader study of statistics. It also introduces the learner to the principles of statistics and statistical theory and equips him with the skills needed to perform fundamental statistical analysis of a data set in the R programming language. This specialization can be considered as part of the Master of Data Science (MS-DS) degree offered on the Coursera platform. The MS – DS is an interdisciplinary degree that brings together faculty members from the CU Boulder Departments of Applied Mathematics, Computer Science, Information Science, and more. With performance-based admission and no application process, the MS-DS is ideal for individuals with a wide range of undergraduate education or professional experience in computer science, information science, mathematics, and statistics. Learners will practice new probability skills, including basic statistical analysis of datasets, by completing exercises in Jupyter notebooks. In addition, learners will test their knowledge by completing benchmark tests throughout the courses.

What you will learn

inference
statistics
Data science
Possibility

Who is this course suitable for?

Learners will learn basic skills such as calculating the probabilities of events, discrete and continuous random variables, and using the central limit theorem to estimate the probabilities associated with the sum of random variables.