You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: for-teachers.md
+42-1Lines changed: 42 additions & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -18,6 +18,47 @@ If you prefer a more private format, ask your students to fork the curriculum, l
18
18
19
19
There are many ways to make this work in an online classroom format. Please let us know what works best for you!
20
20
21
+
## Included in this curriculum:
22
+
23
+
20 lessons, 40 quizzes, and 20 assignments. Sketchnotes accompany the lessons for visual learners. Many lessons are available in both Python and R and can be completed using Jupyter notebooks in VS Code. Learn more about how to set up your classroom to use this tech stack: https://code.visualstudio.com/docs/datascience/jupyter-notebooks.
24
+
25
+
All sketchnotes, including a large-format poster, are in [this folder](./sketchnotes/).
26
+
27
+
The entire curriculum is available [as a PDF](./pdf/readme.pdf).
28
+
29
+
You can also run this curriculum as a standalone, offline-friendly web site by using [Docsify](https://docsify.js.org/#/). [Install Docsify](https://docsify.js.org/#/quickstart) on your local machine, then in the root folder of your local copy of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.
30
+
31
+
An offline-friendly version of the curriculum will open as a standalone web page: https://localhost:3000
32
+
33
+
Lessons are grouped into 6 parts:
34
+
35
+
- 1: Introduction
36
+
- 1: Defining Data Science
37
+
- 2: Ethics
38
+
- 3: Defining Data
39
+
- 4: Probability and Statistics Overview
40
+
- 2: Working with Data
41
+
- 5: Relational Databases
42
+
- 6: Non-Relational Databases
43
+
- 7: Python
44
+
- 8: Data Preparation
45
+
- 3: Data Visualization
46
+
- 9: Visualization of Quantities
47
+
- 10: Visualization of Distributions
48
+
- 11: Visualization of Proportions
49
+
- 12: Visualization of Relationships
50
+
- 13: Meaningful Visualizations
51
+
- 4: Data Science Lifecycle
52
+
- 14: Introduction
53
+
- 15: Analyzing
54
+
- 16: Communication
55
+
- 5: Data Science in the Cloud
56
+
- 17: Introduction
57
+
- 18: Low-Code Options
58
+
- 19: Azure
59
+
- 6: Data Science in the Wild
60
+
- 20: Overview
61
+
21
62
## Please give us your thoughts!
22
63
23
-
We want to make this curriculum work for you and your students. Please give us feedback in the discussion boards!
64
+
We want to make this curriculum work for you and your students. Please give us feedback in the discussion boards! Feel free to create a classroom area on the discussion boards for your students.
0 commit comments