mGalarnyk/datasciencecoursera
mGalarnyk/datasciencecoursera has 2,255 GitHub stars and 2,077 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-08 21:18 UTC. Last push 2023-03-08.
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Measured star growth
- in 24h
- 0
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalData Science Specialization | John Hopkins Coursera
Author: Michael Galarnyk
Just started on Course 6 Statistical Inference (as of 5/12/2017). All the coursework is aggregated into one repo.
Course
| Course Number | Course | Link to Repo | Blog |
|---|---|---|---|
| 6 | Statistical Inference | Course Repo | Coming Soon |
| 5 | Reproducible Research | Course Repo | Blog |
| 4 | Exploratory Data Analysis | Course Repo | Blog |
| 3 | Getting and Cleaning Data | Course Repo | Blog |
| 2 | R Programming | Course Repo | Blog |
| 1 | The Data Scientist's Toolbox | Course Repo | Blog |
Contributors
| Github Username | Profile Page | Youtube Channel |
|---|---|---|
| mGalarnyk | Github Profile | Michael Galarnyk |
| randerson112358 | Github Profile | Randerson112358 |
| Submit | Pull Request | Your Github Profile Here |
License
Anyone may contribute after each assignment is turned in and graded. Feel free to submit a pull request.
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,370 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,763 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,288 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,453 stars