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Johns Hopkins University

Data Literacy

Johns Hopkins University via Coursera Specialization

Overview

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.

Syllabus

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.

Courses

Taught by

Jennifer Bachner, PhD

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