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Coursera Data Science Specialization

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Created/Published/Taught by:
Jeff Leek
Roger D. Peng
Brian Caffo
Johns Hopkins Bloomberg School of Public Health

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Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $470.00

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Difficulty Rating:
Early Beginner 1
Advanced Beginner 1
Intermediate 0
Advanced Intermediate 0
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From Coursera:

“Ask the right questions, manipulate data sets, and create visualizations to communicate results.
This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.”


  1. The Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis
  5. Reproducible Research
  6. Statistical Inference
  7. Regression Models
  8. Practical Machine Learning
  9. Developing Data Products
  10. Data Science Capstone

Recommended Prerequisites: Some programming experience (in any language) is recommended. We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required).

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