Data & AI
Specialization · Data & AI
Data Science
Specialization by Johns Hopkins University on Coursera: 10 courses, 293 hours in total. It appears in 1 Mooc Atlas path.
Johns Hopkins UniversityBeginnerR, RStudio, GitHub, R Markdown, knitr, Shiny, Leaflet
Stated prerequisites: Some programming experience (any language); mathematics up to algebra
Show the 10 courses
| Course | Level | Length | Rating (reviews) |
|---|---|---|---|
| The Data Scientist's Toolbox | — | 18 h | 4.6 (34,111) |
| R Programming | Intermediate | 58 h | 4.5 (22,379) |
| Getting and Cleaning Data | — | 20 h | 4.5 (8,081) |
| Exploratory Data Analysis | — | 56 h | 4.7 (6,092) |
| Reproducible Research | — | 8 h | 4.6 (4,188) |
| Statistical Inference | — | 55 h | 4.2 (4,456) |
| Regression Models | — | 54 h | 4.4 (3,377) |
| Practical Machine Learning | — | 8 h | 4.5 (3,269) |
| Developing Data Products | — | 10 h | 4.6 (2,266) |
| Data Science Capstone | — | 6 h | 4.5 (1,242) |