3.9 KiB
For Educators
You wan use dis curriculum for your classroom? Abeg feel free!
In fact, you fit use am inside GitHub sef by using GitHub Classroom.
To do am, fork dis repo. You go need create repo for each lesson, so you go need to separate each folder into different repo. Like dat, GitHub Classroom fit pick each lesson one by one.
Dis full instructions go show you how you fit set up your classroom.
Using the repo as e dey
If you wan use dis repo as e dey now, without GitHub Classroom, e still dey possible. You go need tell your students which lesson dem go work on together.
For online format (Zoom, Teams, or any other), you fit create breakout rooms for the quizzes, and mentor students to help dem prepare to learn. Then you fit invite students to do the quizzes and submit their answers as 'issues' for one particular time. You fit do the same thing for assignments, if you wan make students work together openly.
If you prefer private format, tell your students to fork the curriculum, lesson by lesson, to their own GitHub repos as private repos, and give you access. Then dem fit complete quizzes and assignments privately and submit am to you through issues for your classroom repo.
Plenty ways dey to make dis thing work for online classroom format. Abeg let us know which one work best for you!
Wetin dey inside dis curriculum:
20 lessons, 40 quizzes, and 20 assignments. Sketchnotes dey follow the lessons for people wey like visual learning. Plenty lessons dey available for both Python and R, and you fit complete am using Jupyter notebooks for VS Code. Learn more about how to set up your classroom to use dis tech stack: https://code.visualstudio.com/docs/datascience/jupyter-notebooks.
All sketchnotes, including one big poster, dey inside this folder.
You fit also run dis curriculum as standalone, offline-friendly website by using Docsify. Install Docsify for your local machine, then for the root folder of your local copy of dis repo, type docsify serve. The website go dey served for port 3000 for your localhost: localhost:3000.
Offline-friendly version of the curriculum go open as standalone web page: https://localhost:3000
Lessons dey grouped into 6 parts:
- 1: Introduction
- 1: Wetin Data Science mean
- 2: Ethics
- 3: Wetin Data mean
- 4: Probability and Statistics Overview
- 2: Working with Data
- 5: Relational Databases
- 6: Non-Relational Databases
- 7: Python
- 8: Data Preparation
- 3: Data Visualization
- 9: Visualization of Quantities
- 10: Visualization of Distributions
- 11: Visualization of Proportions
- 12: Visualization of Relationships
- 13: Meaningful Visualizations
- 4: Data Science Lifecycle
- 14: Introduction
- 15: Analyzing
- 16: Communication
- 5: Data Science in the Cloud
- 17: Introduction
- 18: Low-Code Options
- 19: Azure
- 6: Data Science in the Wild
- 20: Overview
Abeg give us your thoughts!
We wan make dis curriculum work well for you and your students. Abeg give us feedback for the discussion boards! Feel free to create classroom area for the discussion boards for your students.
Disclaimer:
Dis docu don use AI translation service Co-op Translator take translate am. Even though we dey try make sure say e correct, abeg no forget say automatic translation fit get mistake or no dey accurate well. Di original docu for di language wey dem first write am na di main correct one. For important information, e good make una use professional human translation. We no go fit take blame for any misunderstanding or wrong interpretation wey fit happen because of dis translation.