How sux13/datasciencespcoursenotes works
This repository is a reference collection of notes for the nine-course Johns Hopkins Data Science Specialization. A learner chooses a course and consults its notes, available as R Markdown, HTML, and PDF. The courses progress from tooling and R through data preparation and analysis to inference, modeling, machine learning, and data products. The README documents the formats and course scope; sampled source is limited to a placeholder JavaScript file, so the graph does not infer rendering or navigation behavior.
Main entry points: Data Scientists Toolbox Course Notes.Rmd Data Scientists Toolbox · R Programming Course Notes.Rmd R Programming · Getting and Cleaning Data Course Notes.Rmd Getting & Cleaning Data · Data_Scientists_Toolbox_Course_Notes.html Toolbox HTML
Components 28
Foundations
- Data Scientists Toolbox
1_DATASCITOOLBOX/Data Scientists Toolbox Course Notes.Rmd - R Programming
2_RPROG/R Programming Course Notes.Rmd - Getting & Cleaning Data
3_GETDATA/Getting and Cleaning Data Course Notes.Rmd - Toolbox HTML
1_DATASCITOOLBOX/Data_Scientists_Toolbox_Course_Notes.html - Toolbox PDF
1_DATASCITOOLBOX/Data_Scientists_Toolbox_Course_Notes.pdf - R Programming HTML
2_RPROG/R_Programming_Course_Notes.html - R Programming PDF
2_RPROG/R_Programming_Course_Notes.pdf - Data Cleaning HTML
3_GETDATA/Getting_and_Cleaning_Data_Course_Notes.html - Data Cleaning PDF
3_GETDATA/Getting_and_Cleaning_Data_Course_Notes.pdf
Data Analysis
- Exploratory Data Analysis
4_EXDATA/Exploratory Data Analysis Course Notes.Rmd - Reproducible Research
5_REPDATA/Reproducible Research Course Notes.Rmd - Statistical Inference
6_STATINFERENCE/Statistical Inference Course Notes.Rmd - Exploration HTML
4_EXDATA/Exploratory_Data_Analysis_Course_Notes.html - Exploration PDF
4_EXDATA/Exploratory_Data_Analysis_Course_Notes.pdf - Reproducibility HTML
5_REPDATA/Reproducible_Research_Course_Notes.html - Reproducibility PDF
5_REPDATA/Reproducible_Research_Course_Notes.pdf - Inference HTML
6_STATINFERENCE/Statistical_Inference_Course_Notes.html - Inference PDF
6_STATINFERENCE/Statistical_Inference_Course_Notes.pdf
Modeling & Products
- Regression Models
7_REGMODS/Regression Models Course Notes.Rmd - Practical Machine Learning
8_PREDMACHLEARN/Practical Machine Learning Course Notes.Rmd - Developing Data Products
9_DEVDATAPROD/Developing Data Products Course Notes.Rmd - Regression HTML
7_REGMODS/Regression_Models_Course_Notes.html - Regression PDF
7_REGMODS/Regression_Models_Course_Notes.pdf - Machine Learning HTML
8_PREDMACHLEARN/Practical_Machine_Learning_Course_Notes.html - Machine Learning PDF
8_PREDMACHLEARN/Practical_Machine_Learning_Course_Notes.pdf - Data Products HTML
9_DEVDATAPROD/Developing_Data_Products_Course_Notes.html - Data Products PDF
9_DEVDATAPROD/Developing_Data_Products_Course_Notes.pdf
Other components
- Learner
Connections 27
- Learner → Data Scientists Toolbox: consults
- Learner → R Programming: consults
- Learner → Getting & Cleaning Data: consults
- Learner → Exploratory Data Analysis: consults
- Learner → Reproducible Research: consults
- Learner → Statistical Inference: consults
- Learner → Regression Models: consults
- Learner → Practical Machine Learning: consults
- Learner → Developing Data Products: consults
- Learner → Toolbox HTML: reads
- Learner → Toolbox PDF: reads
- Learner → R Programming HTML: reads
- Learner → R Programming PDF: reads
- Learner → Data Cleaning HTML: reads
- Learner → Data Cleaning PDF: reads
- Learner → Exploration HTML: reads
- Learner → Exploration PDF: reads
- Learner → Reproducibility HTML: reads
- Learner → Reproducibility PDF: reads
- Learner → Inference HTML: reads
- Learner → Inference PDF: reads
- Learner → Regression HTML: reads
- Learner → Regression PDF: reads
- Learner → Machine Learning HTML: reads
- Learner → Machine Learning PDF: reads
- Learner → Data Products HTML: reads
- Learner → Data Products PDF: reads