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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: Free Trial
      Free Trial
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Workflow Analysis, Stakeholder Communications, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Version Control, Other Programming Languages, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Descriptive Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Databases, Stored Procedure, Web Scraping, Relational Databases, Automation, Data Science, GitHub, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      American Museum of Natural History

      The Science of Stem Cells

      Skills you'll gain: Medical Science and Research, Healthcare Ethics, Clinical Research, Life Sciences, Biology, Precision Medicine, Molecular Biology, Emerging Technologies, Laboratory Research, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 3 Months

    Environmental Science learners also search

    Environmental
    Environmental Health
    Environmental Engineering
    Environmental Studies
    Environmental Economics
    Environmental Chemistry
    Climate
    Policy
    1…567…634

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

    • Foundations of User Experience (UX) Design: Google
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Foundations of Data Science: Google
    • Tools for Data Science: IBM
    • IBM Data Analytics with Excel and R: IBM
    • Deep Learning: DeepLearning.AI
    • Statistics with Python: University of Michigan
    • IBM DevOps and Software Engineering: IBM
    • Stanford Introduction to Food and Health: Stanford University
    • Introduction to Data Science: IBM

    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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