Data collection courses can help you learn survey design, sampling techniques, data cleaning, and statistical analysis. You can build skills in qualitative and quantitative research methods, data visualization, and ethical considerations in data handling. Many courses introduce tools like Excel for data manipulation, R for statistical analysis, and software like Qualtrics for survey creation, showing how these skills are applied in real-world research settings.

The State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences
Mixed · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Risk Modeling, Risk Analysis, Lending and Underwriting, Risk Management Framework, Financial Analysis, Financial Market, Portfolio Risk, Risk Management, Bank Regulations, Financial Systems, Operational Risk, Analysis, Commercial Lending, Responsible AI, Business Risk Management, Safety Culture, Financial Regulation, Business Continuity, Governance, Capital Budgeting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
University of Michigan
Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks