Statistical Inference for Estimation in Data Science faq

learnersLearners: 44
instructor Instructor: Jem Corcoran instructor-icon
duration Duration: duration-icon

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.

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

22nd May, 2023

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.

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Statistical Inference for Estimation in Data Science

faq FAQ for Statistics & Probability Courses

Q1: What online learning opportunities are available in this course?

This course provides a comprehensive overview of statistical inference for estimation in data science. It covers a range of topics, including online learning, skill training, and data science. Through this course, students will gain an understanding of the fundamentals of statistical inference and how to apply them to data science. They will also learn how to use online learning tools to improve their data science skills.

Q2: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 44 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Statistics & Probability courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.