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: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: 3D Modeling, Animation and Game Design, 3D Assets, Animations, Visualization (Computer Graphics), Computer Graphics, Graphics Software, Design and Product
Beginner · Course · 1 - 3 Months

Skills you'll gain: Database Design, Relational Databases, Database Management, Database Application, Requirements Analysis, Application Deployment, C# (Programming Language), Data Validation, ASP.NET, SQL, .NET Framework, System Requirements, Business Requirements, Full-Stack Web Development, Application Development, Business Logic, Software Development Life Cycle, Data Management, User Interface (UI) Design, Systems Development
Beginner · Specialization · 1 - 3 Months
Starweaver
Skills you'll gain: Endpoint Detection and Response, Threat Detection, MITRE ATT&CK Framework, Cyber Threat Hunting, Cyber Threat Intelligence, Intrusion Detection and Prevention, Threat Modeling, Security Information and Event Management (SIEM), Cyber Security Strategy, Cyber Operations, Cybersecurity, Malware Protection, Incident Response, Data Loss Prevention, Anomaly Detection, Data Security, System Implementation, Open Source Technology
Intermediate · Course · 1 - 3 Months
Coursera
Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Software, Embedded Systems, Pseudocode, Hardware Architecture, Computer Architecture, Software Design, Systems Design, Software Design Patterns, Systems Integration, Programming Principles, Event-Driven Programming, Program Development, Real Time Data, Peripheral Devices
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data-Driven Decision-Making, Predictive Modeling, Risk Analysis, Strategic Decision-Making, Performance Metric, Technical Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Responsible AI, Threat Modeling, MLOps (Machine Learning Operations), Security Testing, Secure Coding, Cost Management, Data Ethics, Data Governance, Experimentation, Prompt Engineering, Application Security, CI/CD, Automation, Financial Forecasting, Compliance Management, Governance, Technical Documentation, Vulnerability Assessments, Risk Management, Stakeholder Communications
Intermediate · Specialization · 3 - 6 Months

Logical Operations
Skills you'll gain: Power BI, Business Reporting, Business Intelligence, Data Storytelling, Business Intelligence Software, Data Visualization Software, Data Analysis, Microsoft Excel, Data Analysis Software, Data Modeling, Data Integration, Self Service Technologies, Data Management, Microsoft PowerPoint, Microsoft 365, Microsoft Office
Mixed · Course · 1 - 4 Weeks