Data Literacy Capstone – Evaluating Research

Data Literacy Capstone – Evaluating Research

This course is part of Data Literacy Specialization

Instructor: Jennifer Bachner, PhD

Access provided by Emerson Electric

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments¹

AI Graded see disclaimer

Taught in English

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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

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

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.