Modeling and Predicting Climate Anomalies Specialization

Master Climate Data Analysis and Modeling. Learn to analyze climate data, evaluate global policies, and apply machine learning to predict extreme climate events.

Instructor: Osita Onyejekwe

What you'll learn

  •   Analyze global climate policies and their impact
  •   Apply statistical analysis techniques in Python to model and interpret climate data using tools like SciPy and NumPy
  •   Develop and implement machine learning models to predict extreme climate events and analyze climate anomalies using real-world datasets

    • Skills you'll gain

  •   NumPy
  •   Scikit Learn (Machine Learning Library)
  •   Energy and Utilities
  •   Policy Analysis
  •   Pandas (Python Package)
  •   Environmental Policy
  •   Machine Learning Algorithms
  •   Matplotlib
  •   Statistical Analysis
  •   Supervised Learning
  •   Applied Machine Learning
  •   Unsupervised Learning

    • Specialization - 3 course series

    Throughout the specialization, you'll work on real-world projects that involve accessing climate data through API calls, analyzing and visualizing trends, and applying machine learning models. By the end of the specialization, you'll practice selecting a region of interest, collecting and cleaning climate data, and using advanced analytical techniques to model and predict climate anomalies.

    Modeling Climate Anomalies with Statistical Analysis

    Predicting Extreme Climate Behavior with Machine Learning

    ©2025  ementorhub.com. All rights reserved