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.

University of Michigan
Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: WordPress, Content Management Systems, Web Content, Web Design and Development, Web Design, Web Development, Blogs, Social Media, Content Management, Marketing, Design, Computer Science
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, IBM Cloud, Python Programming
Build toward a degree
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Figma (Design Software), User Experience Design, Mockups, User Centered Design, Usability Testing, User Interface (UI) Design, Design Elements And Principles, Interaction Design, Prototyping, Technical Communication, Typography, Layout Design, Color Theory
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Statistical Analysis, Data Analysis, Statistical Methods, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning, Project Documentation, Portfolio Management
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months