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  • Environmental Science

Environmental Science Courses

Environmental science courses can help you learn about ecosystems, biodiversity, climate change, and environmental policy. You can build skills in data analysis, field research techniques, and environmental impact assessments. Many courses introduce tools like Geographic Information Systems (GIS) for mapping and analyzing environmental data, as well as statistical software for interpreting research findings. You'll also explore methods for sustainable resource management and strategies for addressing environmental challenges.


Popular Environmental Science Courses and Certifications


  • Status: New
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    LearnKartS

    Cybersecurity Operations and Controls

    Skills you'll gain: Vulnerability Management, Identity and Access Management, Cybersecurity, Security Controls, Incident Management, Vulnerability Assessments, Mobile Security, Hardening, Threat Detection, Application Security, Continuous Monitoring, Threat Management, Digital Forensics, Network Security, Wireless Networks, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Maryland, College Park

    Leading with Power Skills: Emotions & Emotional Intelligence

    Skills you'll gain: Smart Goals, Emotional Intelligence, Positivity, Personal Development, Empathy, Social Skills, Self-Awareness, Professional Development, Resilience, Conflict Management, Team Building, Stress Management, Team Motivation, Psychology, Leadership, Team Management, Team Leadership, Decision Making, Mindfulness

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    120 Quick Stata Tips

    Skills you'll gain: Stata, STATA (Software), Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Data Presentation, Debugging, Data Import/Export, Data Integrity

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    Debugging: Hunting and Squashing Bugs

    Skills you'll gain: Debugging, Unit Testing, File I/O, Integrated Development Environments, Program Development, Computer Programming Tools, Development Environment, Technical Communication, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    XML Practical - Style Sheets with CSS and XSL

    Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Cascading Style Sheets (CSS), HTML and CSS, Hypertext Markup Language (HTML)

    4.4
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    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

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    Google Cloud

    Build an End-to-End Data Capture Pipeline using Document AI

    Skills you'll gain: Data Processing, Google Cloud Platform, Data Store, Data Pipelines, Data Capture, Unstructured Data, Cloud API, Geographic Information Systems, Cloud Storage, Serverless Computing, Business Process

    Beginner · Project · Less Than 2 Hours

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    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

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    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Network Architecture, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Using JavaScript with AI: Enhancing Development Workflows

    Skills you'll gain: Javascript, User Experience, Web Applications, ChatGPT, Web Development, HTML and CSS, Frontend Integration, Application Programming Interface (API), Prompt Engineering, Real Time Data, Debugging

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Skillshare

    Create Easy Instagram Reels with Canva

    Skills you'll gain: Instagram, Canva (Software), Content Performance Analysis, Web Content Accessibility Guidelines, Image Quality, Photography, Social Media Content, Marketing Psychology, Photo Editing, Content Creation, Marketing Design, Social Media Marketing, Graphic and Visual Design, Content Strategy, Driving engagement, Social Media, Productivity, Video Production, Drive Engagement, Creative Design

    Beginner · Specialization · 1 - 3 Months

Searches related to environmental science

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

  • Cybersecurity Operations and Controls: LearnKartS
  • Leading with Power Skills: Emotions & Emotional Intelligence: University of Maryland, College Park
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • 120 Quick Stata Tips: Packt
  • Debugging: Hunting and Squashing Bugs: University of Michigan
  • XML Practical - Style Sheets with CSS and XSL: EDUCBA
  • Running Distributed TensorFlow using Vertex AI: Google Cloud
  • Build an End-to-End Data Capture Pipeline using Document AI: Google Cloud
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt

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