Data security courses can help you learn encryption techniques, risk assessment strategies, incident response planning, and compliance regulations. You can build skills in vulnerability management, threat detection, and secure coding practices. Many courses introduce tools like firewalls, intrusion detection systems, and data loss prevention software, demonstrating how these skills are applied to protect sensitive information and maintain system integrity.

Johns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Advanced · Course · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Retrieval-Augmented Generation, Responsible AI, Generative AI, Cloud Deployment, LLM Application, Model Deployment, Application Deployment, Large Language Modeling, Hugging Face, Data Ethics, Prompt Engineering, Model Evaluation, Risk Management Framework, Rust (Programming Language)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: AI Security, Threat Modeling, MITRE ATT&CK Framework, Application Security, Security Engineering, Security Controls, Responsible AI, MLOps (Machine Learning Operations), Cybersecurity, Model Deployment, Data Security, Threat Detection, Artificial Intelligence and Machine Learning (AI/ML), Vulnerability Assessments, Application Lifecycle Management
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Transformation, Data Store, Applied Machine Learning, Keras (Neural Network Library), Data Modeling, Machine Learning, Python Programming, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, AI Enablement, Technical Communication, Artificial Intelligence, Information Architecture, User Interface (UI)
Beginner · Guided Project · Less Than 2 Hours

National Taiwan University
Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Classification Algorithms, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision
Intermediate · Specialization · 3 - 6 Months