PrintOverview
Because this is a data analytics course, we will start in this first lesson with a focus on the fundamentals of data. The lesson begins with a discussion of data at the conceptual level, and then progresses into some of the practical aspects of data in terms of its common structures and representations. You will get started using Python in the online Google Colaboratory service, which will be used throughout this course for lessons, assignments, and exams. Again, because this course emphasizes data, you will begin by importing data into Python.
Learning Outcomes
By the end of this lesson, you should be able to:
- explain what data are
- understand the importance of data analysis in energy and the environment
- use Google Colaboratory
- compose basic Python code
- identify different data structures
- implement approaches to import data into Python
| Type | Assignment or Assessment | Location |
|---|---|---|
| To Read | Setting up Google Colaboratory | Follow link to instructions |
| To Do |
Complete Homework: Python and CoLab Practice Complete First Week Survey/ Quiz |
Canvas Canvas |
Questions?
If you have questions, please feel free to post them to the General Questions and Discussion forum in Canvas. While you are there, feel free to post your own responses if you, too, are able to help a classmate.
If your question is private in nature, please send a message through Canvas. We will check daily to respond.