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Data Literacy Capstone – Evaluating Research

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Data Literacy Capstone – Evaluating Research

This course is part of Data Literacy Specialization

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Data Literacy Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

This is the final course in the Data Literacy Specialization. In this capstone course, you'll apply the skills and knowledge you have acquired in the specialization to the critical evaluation of an original quantitative analysis. The project will first require you to identify and read a piece of high-quality, original, quantitative research on a topic of your choosing. You’ll then interpret and evaluate the findings as well as the methodological approach. As part of the project, you’ll also review other students’ submissions. By the end of the project, you should be empowered to be a critical consumer and user of quantitative research.

Welcome to the Capstone Course for the Data Literacy Specialization! The capstone project will allow you to apply the knowledge and skills you've acquired throughout the specialization to the evaluation of a published piece of scholarly work. In this first module, I'll present an overview of the project's purpose and components.

What's included

1 video1 reading1 assignment

1 video•Total 3 minutes
  • Capstone Project Overview•3 minutes
1 reading•Total 60 minutes
  • Measuring Research•60 minutes
1 assignment•Total 5 minutes
  • Capstone Project Overview Practice Problems•5 minutes

In this module, I'll present information that will help you identify an article or report that you'll evaluate for the capstone project. We'll explore sources that frequently publish high-quality, original, quantitative research. We'll also discuss the difference between primary and secondary research.

What's included

1 video2 readings1 assignment

1 video•Total 5 minutes
  • Research Selection•5 minutes
2 readings•Total 30 minutes
  • Think Tank Search•15 minutes
  • Evaluating Think Tanks•15 minutes
1 assignment•Total 8 minutes
  • Research Selection Practice Problems•8 minutes

Welcome to the final module in the Data Literacy Specialization. In this module, you'll complete and submit your capstone project via the peer review system. You'll also review three submissions from other students in the specialization. I hope this specialization has given you a set of tools and skills that empower you to be a critical consumer and user of quantitative research.

What's included

1 peer review

1 peer review•Total 240 minutes
  • Data Literacy Capstone Project•240 minutes

Earn a career certificate

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Instructor

Johns Hopkins University
5 Courses•18,866 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.