Data Literacy

Johns Hopkins University via Coursera Specialization

Coursera Specialization based on 170 ratings

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Overview

The course “Data Literacy” is designed to equip learners with the fundamental skills to understand, interpret, and communicate data effectively in today’s data-driven world. It emphasizes the importance of being able to critically evaluate data sources, analyze datasets, and draw meaningful conclusions across various professional contexts. Participants will explore the basics of data types, data collection methods, and data quality assessment. The course introduces key concepts such as descriptive statistics, data visualization principles, and common pitfalls like bias and misinterpretation....

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.