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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the Environmental Science Course Catalog

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures

      Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Clemson University

      Master of Science in Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Delegation Skills, Unsupervised Learning, Sampling (Statistics), Failure Analysis, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NumPy, Matplotlib & Pandas – Data Science Prerequisites

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Organizational Analysis

      Skills you'll gain: Organizational Structure, Decision Making, Organizational Leadership, Organizational Change, Professional Networking, Strategic Decision-Making, Business, Social Sciences, Culture, Sociology, Analysis, Resource Management, Learning Theory, Innovation, Negotiation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      A

      Arm

      Introduction to AI

      Skills you'll gain: Artificial Intelligence, Machine Learning, Artificial Neural Networks, Computer Science, Deep Learning, Supervised Learning, Data Ethics, Natural Language Processing, Data Science

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Data Science Techniques

      Skills you'll gain: Time Series Analysis and Forecasting, Statistical Analysis, Machine Learning Algorithms, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Presentation, Data Science, Statistical Programming, Statistical Machine Learning, Statistical Reporting, Statistical Methods, Data Cleansing, Forecasting, Applied Machine Learning, Analytics, R Programming, Machine Learning, Regression Analysis, Statistical Modeling

      Build toward a degree

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Data Cleansing, Applied Machine Learning, Regression Analysis, Analytics, Machine Learning, R Programming, Statistical Methods, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Computer Programming, Software Testing, Computer Science, Graph Theory, File Management, Artificial Intelligence, Integration Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    Environmental Science learners also search

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    1…333435…637

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

    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Data Structures: University of California San Diego
    • Master of Science in Computer Science: Clemson University
    • Master of Science in Data Science: University of Colorado Boulder
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Applied Data Science: Clemson University
    • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
    • Organizational Analysis : Stanford University
    • Introduction to AI: Arm
    • Introduction to Data Science Techniques: Illinois Tech

    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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