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.

Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Traffic Flow Optimization, Architectural Design, Sustainable Development, Stormwater Management, Building Codes, Community Development, Land Development, Public Works, Sustainable Architecture, Landscape Architecture, Transportation Operations, Civil Engineering, Case Studies, Environmental Engineering, Building Design, Economic Development, Land Management, Sustainable Design, Sustainable Technologies, Environmental Science
Intermediate · Specialization · 3 - 6 Months

University of Florida
Skills you'll gain: Land Management, Water Quality, Water Resource Management, Hydrology, Environment and Resource Management, Environmental Regulations, Sustainable Development, Sustainability Standards, Environmental Science
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Data Modeling, Relational Databases, Stored Procedure, Model Deployment, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, GitHub, Data Preprocessing, Data Cleansing, R (Software), Cloud Computing, Data Analysis, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months
University of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Computer Programming Tools, Applied Mathematics, Computer Graphics, Web Design and Development, Software Development Tools, Cybersecurity, Computational Thinking, Computer Programming, General Mathematics, Problem Solving
Build toward a degree
Beginner · Specialization · 1 - 3 Months

IBM
Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Plotly, Data Mining, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months