Actuarial science courses can help you learn risk assessment, statistical modeling, financial mathematics, and insurance principles. You can build skills in data analysis, predictive modeling, and evaluating financial risks across various scenarios. Many courses introduce tools like R, Excel, and specialized actuarial software, that support analyzing data and making informed decisions in insurance and finance.

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Princeton University
Skills you'll gain: Blockchain, Cryptography, Encryption, Payment Systems, FinTech, Key Management, Application Security, Digital Assets, Network Protocols, Transaction Processing, Data Storage, Distributed Computing, Emerging Technologies, Scripting, Financial Policy, Market Dynamics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Email Security, File Management, Control Panels, Web Analytics and SEO, MySQL, Apache, Cloud Hosting, Public Key Infrastructure, User Accounts, Data Security, Encryption, Database Management, Web Servers, Email Automation, System Configuration, PHP (Scripting Language), Server Administration, Performance Tuning, Servers, Content Management
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Penetration Testing, Vulnerability Scanning, Exploitation techniques, Cyber Security Assessment, Vulnerability Assessments, Mobile Security, Open Web Application Security Project (OWASP), Cloud Security, Threat Modeling, MITRE ATT&CK Framework, Network Security, Business Logic, Scripting, Technical Communication
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Gemini, Generative AI, Google Workspace, Google Cloud Platform, Productivity Software, Prompt Engineering, Large Language Modeling, Enterprise Security, Cloud Security
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Technical Design
Advanced · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Responsive Web Design, Color Theory, Version Control, Typography, HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), GitHub, Git (Version Control System), Web Design, Web Design and Development, Web Development, Web Content Accessibility Guidelines, Front-End Web Development, Application Deployment, Image Quality, Web Applications, Design Elements And Principles, Animations, User Interface (UI) Design
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Firewall, Intrusion Detection and Prevention, Network Security, Cloud Security, Infrastructure Security, Threat Detection, Cyber Security Policies
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Code Coverage, Embedded Software, Real-Time Operating Systems, Performance Testing, System Testing, Software Testing, User Acceptance Testing (UAT), Verification And Validation, Embedded Systems, Scenario Testing, Acceptance Testing, Test Tools, Test Execution Engine, Unit Testing, Test Case, Test Planning, Integration Testing, Simulations, System Requirements, Real Time Data
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks