Data Analysis: Statistical Modeling and Computation in Applications faq

star-rating
5
learnersLearners: 621
instructor Instructor: Stefanie Jegelka, Caroline Uhler and Karene Chu instructor-icon
duration Duration: 15.00 duration-icon

This course provides learners with the skills to analyze data and answer questions using real data. It covers foundational and practical skills such as hypothesis testing, regression, gradient descent methods, and domain knowledge. Learners will study common models and methods to analyze data in four different domain areas, and present their findings in written reports. This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an effective practitioner of data science.

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Course Feature Course Overview Course Provider Discussion and Reviews
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Course Feature

costCost:

Free

providerProvider:

ThaiMOOC

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

28th Aug, 2023

Course Overview

❗The content presented here is sourced directly from ThaiMOOC 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?
Learners in this course will acquire a range of skills and knowledge in the field of data analysis. They will develop a solid understanding of statistical and computational tools, including hypothesis testing, regression, and gradient descent methods. Additionally, they will learn about various models and methods used to analyze specific types of data in different domains, such as epigenetic codes, criminal networks, prices and economics, and environmental data.

Throughout the course, learners will have the opportunity to work with real data sets from these domains and apply their skills to analyze and interpret the data. They will also gain experience in presenting their findings through written reports and engaging in discussions with their peers.

By completing this course, learners will acquire the necessary skills to become informed and effective practitioners of data science. This course is part of the MITx MicroMasters Program in Statistics and Data Science, which provides learners with a comprehensive education in the field. Successful completion of the program, including this course and three others, will earn learners a MicroMasters credential that demonstrates their proficiency in data science. This credential can be used to enhance career prospects or as a stepping stone towards pursuing a PhD or Master's degree in data science at MIT or other universities.

How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the necessary skills and knowledge to become proficient practitioners of data science. By combining foundational and practical skills in mathematics, statistics, machine learning, problem solving, programming, visualization, and communication, learners will be able to ask and answer questions using real data. The course covers common statistical and computational tools, as well as specific models and methods for analyzing different types of data in various domain areas. Learners will have the opportunity to analyze real data sets and present their findings in written reports, while also engaging in discussions with peers to address relevant and practical issues.

Is this course suitable for preparing further education?
The course "Data Analysis: Statistical Modeling and Computation in Applications" is suitable for preparing further education. It is part of the MITx MicroMasters Program in Statistics and Data Science, which is at a similar pace and level of rigor as an on-campus course at MIT. Completing this course and three others from MITx, along with passing a virtually-proctored exam, will earn learners a MicroMasters credential. This academic credential demonstrates proficiency in data science and can accelerate the path towards an MIT PhD or a Master's at other universities.

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1. What is the purpose of this course?

2. What are the four domain areas covered in this course?

3. What is the outcome of completing this course?

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faq FAQ for Statistics & Probability Courses

Q1: What skills are required to be successful in this course?

This course requires learners to have multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication 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 ThaiMOOC, 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 621 people have participated in this course. The duration of this course is 15.00 hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

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