Earth analytics, also known as Earth data science, is a rapidly growing field that uses data science techniques to study Earth processes and address environmental challenges. Earth data scientists use programming languages like R and Python to analyze Earth and environmental data from data sources including satellites, drones, social media, field studies, and surveys.
The in Earth Data Analytics - Foundations provides you with highly marketable technical skills.
Through taking the certificate courses, you will:
- Learn how to code: Use python, command line and other tools to work with environmental and earth systems data.
- Learn to use different types of data including GIS, remote sensing, social media, text, time series and more.
- Learn how to communicate with people in different disciplines.
- Collaborate with people in interdisciplinary environments.
Learn how to use version control systems like git and GitHub to work collaboratively, backup and document your work.
A Program That Fits Your Schedule
The Earth Data Analytics - Foundations certificate consists of three courses that can be completed in as little as nine months (August to May). All three courses are offered both in person on the CU Boulder campus and entirely online. Online offerings allow students to either participate real-time or watch video recordings of lectures at their own pace. The program is suitable for students of various backgrounds and ability levels, from career changers with no programming experience to current earth science professionals who are looking to boost their data intensive skills.
Prepare for a Meaningful Career
Earth Analytics certificate graduates both gain a marriage of skill sets that is sought after by employers and find themselves uniquely qualified to address pressing environmental problems in their careers. Graduates will be prepared to harness today's explosion of diverse data. Jobs that graduates may apply for include data analyst, data scientist, geospatial scientist, or GIS specialist at organizations like Amazon, DigitalGlobe, the USGS, Lockheed Martin, NASA, and NOAA. ÀÖ²¥´«Ã½ will gain professional skills through hands on projects provided by industry and agency partners in a capstone project.
How to Apply
. Required application materials include a resume/CV, unofficial undergraduate transcripts, and a statement of interest.
Questions
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