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Johns Hopkins University

Data Literacy

Johns Hopkins University via Coursera Specialization


This specialization is intended for professionals seeking to develop a skill set for interpreting statistical results. Through four courses and a capstone project, you will cover descriptive statistics, data visualization, measurement, regression modeling, probability and uncertainty which will prepare you to interpret and critically evaluate a quantitative analysis.


Course 1: Data – What It Is, What We Can Do With It
- Offered by Johns Hopkins University. This course introduces students to data and statistics. By the end of the course, students should be ... Enroll for free.

Course 2: Measurement – Turning Concepts into Data
- Offered by Johns Hopkins University. This course provides a framework for how analysts can create and evaluate quantitative measures. ... Enroll for free.

Course 3: Quantifying Relationships with Regression Models
- Offered by Johns Hopkins University. This course will introduce you to the linear regression model, which is a powerful tool that ... Enroll for free.

Course 4: What are the Chances? Probability and Uncertainty in Statistics
- Offered by Johns Hopkins University. This course focuses on how analysts can measure and describe the confidence they have in their ... Enroll for free.

Course 5: Data Literacy Capstone – Evaluating Research
- Offered by Johns Hopkins University. This is the final course in the Data Literacy Specialization. In this capstone course, you'll apply ... Enroll for free.


Taught by

Jennifer Bachner, PhD

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