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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

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Thermodynamics and Phase Equilibria

      Skills you'll gain: Mechanical Engineering, Engineering, Thermal Management, Physics, Chemical Engineering, Physical Science, Energy and Utilities, Chemistry, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Object Oriented Java Programming: Data Structures and Beyond

      Skills you'll gain: Unit Testing, Growth Mindedness, Data Structures, Graph Theory, Event-Driven Programming, Interactive Data Visualization, Java, Network Analysis, Object Oriented Programming (OOP), Technical Communication, Development Testing, User Interface (UI), Java Programming, Software Testing, Computer Programming, Adaptability, Object Oriented Design, Performance Tuning, Algorithms, Software Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Stanford University

      Introduction to Mathematical Thinking

      Skills you'll gain: Mathematical Theory & Analysis, Mathematics and Mathematical Modeling, Calculus, Deductive Reasoning, Logical Reasoning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Data Science, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Foundations with JavaScript, HTML and CSS

      Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Cascading Style Sheets (CSS), Web Development, Programming Principles, Javascript, Web Design, Computer Programming, Image Analysis, Computational Thinking, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    Environmental Science learners also search

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    1…262728…637

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

    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Thermodynamics and Phase Equilibria: Korea Advanced Institute of Science and Technology(KAIST)
    • Software Design and Architecture: University of Alberta
    • Machine Learning in Production: DeepLearning.AI
    • Reinforcement Learning: University of Alberta
    • Computer Science: Programming with a Purpose: Princeton University
    • Object Oriented Java Programming: Data Structures and Beyond: University of California San Diego
    • Introduction to Mathematical Thinking: Stanford University
    • Astronomy: Exploring Time and Space: University of Arizona
    • Data Science: Statistics and Machine Learning: Johns Hopkins University

    Frequently Asked Questions about Environmental Science

    Environmental science courses on Coursera offer insights and practical skills to help you understand and address environmental issues:

    • Fundamentals of ecology and environmental biology, including ecosystems, biodiversity, and conservation.
    • Techniques for assessing environmental impact and conducting sustainability audits.
    • Knowledge of environmental policies and legislation, both national and international.
    • Skills in environmental management and planning for sustainable development.
    • Techniques in water resource management, waste management, and pollution control.
    • Understanding of climate change, its impacts, and mitigation strategies.
    • Application of Geographic Information Systems (GIS) and other tools for environmental modeling and analysis. ‎

    Environmental science courses on Coursera are structured to accommodate learners at various levels:

    • Introductory courses provide a broad overview of environmental science, suitable for those new to the field.
    • Intermediate courses delve deeper into specific environmental issues or methods and are ideal for learners with some background knowledge.
    • Advanced courses cater to professionals or students looking to specialize further, focusing on complex environmental challenges and solutions. ‎

    Coursera collaborates with leading universities and organizations to offer a range of credentials in environmental science:

    • Professional certificates that can help you develop your skills and demonstrate your expertise in environmental science.
    • Specialized course certificates that can show your proficiency in particular environmental issues or methodologies.
    • Degree programs and professional qualifications that help prepare you for advanced roles in environmental policy, management, or research. ‎

    Gaining skills in environmental science through Coursera can help prepare you for a variety of roles focused on environmental sustainability and conservation:

    • Environmental Consultant: Advise businesses and governments on how to minimize their environmental impact and comply with regulations.
    • Conservation Scientist: Manage natural resources and develop strategies to protect habitats and wildlife.
    • Environmental Educator: Teach and raise awareness about environmental issues and sustainability practices.
    • Sustainability Officer: Develop and implement strategies for sustainable operations within organizations.
    • Climate Change Analyst: Analyze data related to climate patterns and propose solutions to mitigate the effects of climate change. ‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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