ANOVA and Experimental Design faq

instructor Instructor: Brian Zaharatos instructor-icon
duration Duration: duration-icon

This course introduces students to the analysis of variance (ANOVA) and experimental design. Students will learn about linear regression models, randomization, blocking, factorial design, and causality. The course is part of the Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. This interdisciplinary degree 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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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

29th 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?
By taking this course, students will acquire knowledge and skills related to the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. They will learn important design-related concepts such as randomization, blocking, factorial design, and causality. Additionally, they will gain an understanding of ethical issues raised in experimentation.

How does this course contribute to professional growth?
This course in ANOVA and Experimental Design provides students with the mathematical basis for designing experiments for data science applications. It covers important design-related concepts such as randomization, blocking, factorial design, and causality, as well as ethical issues raised in experimentation. By taking this course, students can gain the knowledge and skills necessary to design experiments for data science applications, which can contribute to their professional growth. Additionally, the MS-DS degree program offered on the Coursera platform provides students with an interdisciplinary education in computer science, information science, mathematics, and statistics, which can further enhance their professional growth.

Is this course suitable for preparing further education?
The course ANOVA and Experimental Design is suitable for preparing further education, as it provides students with the mathematical basis for designing experiments for data science applications. The course also covers important design-related concepts, such as randomization, blocking, factorial design, and causality, as well as ethical issues raised in experimentation. Furthermore, the course is part of the Master of Science in Data Science (MS-DS) degree offered on the Coursera platform, which is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.

Pros & Cons

Pros Cons
  • pros

    High quality

  • pros

    Intensive course

  • pros

    Gain insight

  • pros

    Useful and practical

  • pros

    Exercise not too difficult

  • cons

    None mentioned

Course Provider

Provider Coursera's Stats at AZClass

Discussion and Reviews

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faq FAQ for Statistics & Probability Courses

Q1: What topics are covered in this course?

This course covers the topics of analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. It also covers important design-related concepts such as randomization, blocking, factorial design, and causality.

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 0 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?

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Once in the cart, select the course you want and click "Enroll."
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If you're looking for additional Statistics & Probability courses and certifications, our extensive collection at azclass.net will help you.

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