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    • Environmental Science

    Environmental Science Courses Online

    Explore environmental science principles for studying natural systems. Learn about ecology, geology, and environmental conservation.

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    Explore the Environmental Science Course Catalog

    • Status: New
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      C

      Coursera

      From Raw to Ready: Data Preparation in Python

      Skills you'll gain: NumPy, Data Import/Export, Data Manipulation, Data Transformation, Pandas (Python Package), Data Cleansing, Data Integration, Data Pipelines, Data Structures

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Free Trial
      U

      University of Michigan

      Applied Information Extraction in Python

      Skills you'll gain: Python Programming, Machine Learning Methods, Data Pipelines, Data Manipulation, Machine Learning Algorithms

      Advanced · Course · 1 - 4 Weeks

    • Status: New
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      Fractal Analytics

      Unlocking AI and ML : Your Path to Smart Business Solutions

      Skills you'll gain: Generative AI, Business Analytics, Data Analysis, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Artificial Intelligence, Business Analysis, Data Science, Artificial Neural Networks, Data Processing, Deep Learning, Data Cleansing, Business Ethics, Machine Learning, Regression Analysis, Predictive Modeling, Python Programming, Supervised Learning, Unsupervised Learning

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Structured Query Language (SQL)

      Skills you'll gain: Database Design, SQL, MySQL, Database Management, Relational Databases, Development Environment, Mockups, Data Modeling, Software Installation, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 4 Weeks

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      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Matplotlib, Debugging, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Programming Principles, Computational Thinking, Engineering Analysis, Data Analysis, Computer Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: New
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      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Statistical Modeling, Data Science, Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Regression Analysis, Statistical Methods, Classification And Regression Tree (CART), Probability & Statistics, Data Processing, Linear Algebra

      Intermediate · Course · 1 - 3 Months

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      Coursera

      Collaborate and Code: GitHub with Python and Jupyter

      Skills you'll gain: Version Control, GitHub, Collaborative Software, Git (Version Control System), Jupyter, Software Versioning, Software Documentation, Generative AI, Technical Documentation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
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      Whizlabs

      Azure ML: Designing and Preparing Machine Learning Solutions

      Skills you'll gain: Data Integration, Data Pipelines, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Android App Development

      Skills you'll gain: Android Studio, Android Development, User Interface (UI), JUnit, Android (Operating System), Application Development, Java, Maintainability, Test Driven Development (TDD), Unit Testing, Application Security, Java Programming, User Interface and User Experience (UI/UX) Design, Testability, Software Testing, Software Design Patterns, Object Oriented Programming (OOP), Mobile Development, Vulnerability Assessments, Mockups

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Machine Learning Algorithms, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Decision Tree Learning, Feature Engineering, Classification And Regression Tree (CART), Python Programming, Statistical Modeling, Regression Analysis, Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
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      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: Dimensionality Reduction, Reinforcement Learning, Statistical Machine Learning, Machine Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Statistical Methods, Classification And Regression Tree (CART), Feature Engineering, Data Science, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: New
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      Skillshare

      Unreal Engine 5 For Beginners: World Building Basics

      Skills you'll gain: Unreal Engine, Computer Graphics, Virtual Environment, Visualization (Computer Graphics), User Interface (UI), Data Import/Export

      Mixed · Course · 1 - 4 Weeks

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    1…394041…670

    In summary, here are 10 of our most popular environmental science courses

    • From Raw to Ready: Data Preparation in Python: Coursera
    • Applied Information Extraction in Python: University of Michigan
    • Unlocking AI and ML : Your Path to Smart Business Solutions: Fractal Analytics
    • Introduction to Structured Query Language (SQL): University of Michigan
    • Introduction to Python for Scientific Computing: University of Colorado Boulder
    • Statistical Learning for Engineering Part 1: Northeastern University
    • Collaborate and Code: GitHub with Python and Jupyter: Coursera
    • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
    • Android App Development: Vanderbilt University
    • Applied Machine Learning in Python: University of Michigan

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