Data Analytics with Observable

Course details

Observable is one of the most exciting (and constantly expanding) platforms to use for data analytics, visualization, storytelling, and collaboration. Its blend of easy-to-use click and drag features and customization makes it extremely popular for users across a wide range of skillsets. In this course, data analytics and visualization expert Bill Shander gives you an overview of the Observable platform, introducing the key features and functionalities with practical and tangible examples. Bill shows you how to get data into Observable, manipulate that data, and make visuals and reports with it. He demonstrates how to add interactivity to the reports, and how to make visuals in a variety of ways—some of which are one-click and others that offer more customizability with coding. By the end of the course, you will be able to spin up a new notebook, add data to it, and create a fully interactive data report.

Concepts

0. Introduction

01 - The only data tool you need

1. What, Why, and Who

02 - What is Observable
03 - Who is this course for
04 - When and why should you use Observable

2. Basic Functionality and UI

05 - Notebooks and their components
06 - The main UI components
07 - Referencing named cells
08 - Reactivity and the order of operations
09 - Challenge - Create a working notebook
10 - Solution - Create a working notebook

3. Working with Data

11 - Getting data into your notebook
12 - Data tables
13 - Manipulating data (JavaScript)
14 - Manipulating data (SQL with DuckDB)
15 - Manipulating data (SQL query)
16 - Challenge - Adding data to your notebook
17 - Solution - Adding data to your notebook

4. Inputs

18 - What are inputs and how do they work
19 - Customizing inputs
20 - Adding interactivity to your notebooks with inputs
21 - Challenge - Adding interactivity to your notebook
22 - Solution - Adding interactivity to your notebook

5. Visualizing Data

23 - Quick charts with Chart
24 - Quick charts with Plot
25 - Customizing charts with Plot
26 - Custom charts with D3 and Vega-Lite
27 - Challenge - Adding charts to your notebook
28 - Solution - Adding charts to your notebook

6. Putting It All Together

29 - Collaboration
30 - Importing from existing notebooks
31 - Default and additional available libraries

Conclusion

32 - Keep learning Observable