Welcome to GEOG 4463 / 5463 - Earth Analytics Bootcamp!
Key course materials
About the Earth Analytics Bootcamp
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU Boulder.
In this course, you will learn how to analyze and visualize earth and environmental science data using the
Python programming language. You will also learn how to design and implement open reproducible science workflows using
This course is highly technical, and you will code every day. We will use the
Python scientific programming environment and the
Jupyter Notebook graphical interface to work with data.
Important: We have a cloud environment (
Jupyter Hub) available for you to use for your assignments. However, we encourage you to get
Python set up on your own computer as well, as it’s a good skill to have! You will also need to have
Git installed on your computer for several activities in this course. Please follow the instructions on Setting up Git, Bash, and Anaconda on your computer to install the necessary tools for your operating system (Windows, Mac, Linux).
|1||Mon, Aug 6th||Get Started With Open Reproducible Science||-|
|2||Tues, Aug 7th||Python Variables and Lists||-|
|3||Wed, Aug 8th||Git/Github.com Workflow For Version Control||-|
|4||Thurs, Aug 9th||Numpy Arrays||-|
|5||Fri, Aug 10th||Pandas Dataframes||Homework 1 Due|
|6||Mon, Aug 13th||Practice Working With Data Structures||-|
|7||Tues, Aug 14th||Loops||Homework 2 Due|
|8||Wed, Aug 15th||Conditional Statements||-|
|9||Thurs, Aug 16th||Git/Github.com Workflow For Collaboration||-|
|10||Fri, Aug 17th||Functions||Homework 3 Due|
Please expect additional information to be added to the course as we build out all of the content.