Ementorhub

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.

Skills you'll gain

NumPy

Data Science

Pandas (Python Package)

Regression Analysis

Statistical Modeling

Data Analysis

Time Series Analysis and Forecasting

Statistical Analysis

Data Manipulation

Matplotlib

Application Programming Interface (API)

Data Integration

There are 3 modules in this course

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. The degree offers targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder

Collecting Climate Data

Visualizing & Analyzing Climate Data