Clinical research courses can help you learn study design, data collection methods, statistical analysis, and ethical considerations in research. You can build skills in patient recruitment, data management, and interpreting clinical trial results. Many courses introduce tools such as statistical software for data analysis, electronic data capture systems, and project management platforms, that support conducting research efficiently and effectively.

Banco Interamericano de Desarrollo
Skills you'll gain: Data Visualization, Data Literacy, Data Ethics, Data Presentation, Policy Development, Policy Analysis, Public Policies, Data-Driven Decision-Making, Economics, Policy, and Social Studies, Data Analysis, Data Collection, Data Management, Data Sharing, Program Evaluation, Analytics, Quantitative Research, Data Quality, Research, Research Methodologies
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, AI Personalization, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investment Management, Investments, Financial Analysis, Analysis
Intermediate · Guided Project · Less Than 2 Hours
École Polytechnique
Skills you'll gain: Physics, Physical Science, General Science and Research, Science and Research, Scientific Methods
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Tensorflow, Deep Learning, Model Deployment
★ 5 (10) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Analytics, R Programming, Scripting, Google Sheets, Email Automation, Tidyverse (R Package), Predictive Modeling, Automation, Data Manipulation, Health Technology, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Fine-tuning, Classification Algorithms, Network Architecture, Embeddings, Model Training
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Data Preprocessing, Model Training, Deep Learning, Data Processing, Model Optimization, Cloud Deployment, Machine Learning Methods, Applied Machine Learning, Data Transformation, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Network Architecture, Algorithms
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Neurology, Telehealth, Patient Evaluation, Patient Education And Counseling, Patient Preparation, Health Technology, Clinical Assessment, Health Assessment, Patient Safety, Care Coordination, Patient Treatment, Pediatrics, Health Informatics, Telecommunications
Beginner · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Model Evaluation, Deep Learning, Convolutional Neural Networks, Model Optimization, Image Analysis, Predictive Modeling, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Computer Vision
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Deep Learning, Model Training, Performance Tuning, Model Evaluation, Machine Learning Methods, Artificial Neural Networks, Statistical Analysis, Debugging, Verification And Validation, Algorithms
★ 4.6 (7) · Intermediate · Course · 1 - 4 Weeks