University of Colorado Boulder
Modeling Climate Anomalies with Statistical Analysis
University of Colorado Boulder

Modeling Climate Anomalies with Statistical Analysis

Taught in English

Course

Gain insight into a topic and learn the fundamentals

Osita Onyejekwe

Instructor: Osita Onyejekwe

Intermediate level

Recommended experience

7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Visualize and interpret climate anomalies using statistical analysis.

  • Use APIs to import climate data from government portals.

  • Visualize data in Python with matplotlib. 

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

July 2024

Assessments

3 assignments

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

In this module, we'll start with an introduction to the Python library, Pandas. You'll also learn the fundamentals of data visualization using Matplotlib, a powerful library for creating insightful plots and graphs. At the end of the module you will practice manipulating data with Pandas and visualizing your findings using Matplotlib.

What's included

4 videos4 readings1 assignment1 programming assignment

In this module, you will be introduced to APIs and the Python requests library, enabling you to connect and interact with web-based data services. You'll explore climate data sources from NOAA, USGS, and NWIS, and practice accessing data using the dataretrieval library.

What's included

4 videos6 readings2 assignments

In this module, you will delve into visualizing and analyzing various climate data sets, including air temperature, precipitation, groundwater level (GWL), and soil temperature and moisture. You will learn to create informative visualizations to identify patterns, trends, and anomalies in the data.

What's included

4 videos1 programming assignment1 peer review1 discussion prompt1 ungraded lab

Instructor

Osita Onyejekwe
University of Colorado Boulder
4 Courses911 learners

Offered by

Recommended if you're interested in Data Analysis

Get a head start on your degree

This course is part of the following degree programs offered by University of Colorado Boulder. If you are admitted and enroll, your coursework can count toward your degree learning and your progress can transfer with you.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions