Statistical Inference for Estimation in Data Science

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

22nd May, 2023
Learners

No Information
Duration

No Information
Instructor

Jem Corcoran

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2.0

44 Ratings

This course introduces students to statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals. This course is part of the MS-DS degree offered on the Coursera platform, and is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

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Statistical Inference for Estimation in Data Science

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

What skills and knowledge will you acquire during this course?
Students will acquire skills and knowledge in statistical inference, sampling distributions, and constructing confidence intervals. They will learn how to define and construct good estimators, including method of moments estimation and maximum likelihood estimation. Additionally, students will gain an understanding of methods for constructing confidence intervals that can be applied in various settings.

How does this course contribute to professional growth?
This course on Statistical Inference for Estimation in Data Science contributes to professional growth by providing students with the knowledge and skills necessary to perform statistical inference and construct confidence intervals. By learning about sampling distributions, students gain a deeper understanding of how to make accurate estimations. The course also covers important estimation techniques such as method of moments estimation and maximum likelihood estimation, which are widely used in data science. These skills are valuable for professionals working in fields such as data analysis, research, and decision-making, as they enable them to make informed and reliable conclusions based on data. Additionally, the course is part of CU Boulder's Master of Science in Data Science program, which is designed to enhance the expertise of individuals with diverse educational backgrounds and professional experiences in computer science, information science, mathematics, and statistics. By completing this course, professionals can strengthen their qualifications and advance their careers in the field of data science.

Is this course suitable for preparing further education?
The course "Statistical Inference for Estimation in Data Science" is suitable for preparing further education.

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