Data Literacy - Johns Hopkins University Learning Path

Data Literacy - Johns Hopkins University is a Specialization designed by Coursera. It consists of five courses and can be completed in five months with 3 hours of learning content .

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Description

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.

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Coursera
Johns Hopkins University
1. Data – What It Is, What We Can Do With It

11 hours

Beginner

2,962
Coursera
Johns Hopkins University
2. Measurement – Turning Concepts into Data

11 hours
Coursera
Johns Hopkins University
3. Quantifying Relationships with Regression Models
Jennifer Bachner

11 hours

Intermediate

2,332
Coursera
Johns Hopkins University
4. What are the Chances? Probability and Uncertainty in Statistics
Jennifer Bachner

11 hours

Intermediate
Coursera
Johns Hopkins University
5. Data Literacy Capstone – Evaluating Research
Jennifer Bachner

6 hours

Intermediate