Healthcare data analytics courses can help you learn statistical analysis, data visualization, predictive modeling, and patient outcome measurement. You can build skills in interpreting complex datasets, identifying trends in healthcare delivery, and making data-driven decisions to improve patient care. Many courses introduce tools like R, Python, and Tableau, that support analyzing healthcare data and creating impactful visual reports that inform stakeholders about trends and outcomes.

Skills you'll gain: Process Mapping, Lean Six Sigma, Process Analysis, Process Improvement, Quality Improvement, Risk Management, Continuous Improvement Process, Business Requirements, Business Risk Management, Customer Analysis, Business Process, Key Performance Indicators (KPIs), Performance Measurement, Project Documentation, Project Planning, Project Scoping, Project Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Business Strategy, Machine Learning, Context Management
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Evaluation, Exploratory Data Analysis, Data Quality, Model Deployment, Data Cleansing, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Logistic Regression, Supervised Learning, Performance Tuning, Dataflow, Artificial Neural Networks, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Team Building, Team Management, Stakeholder Analysis, Internal Communications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, Kibana, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Trend Analysis, Retail Sales, Data Import/Export, System Configuration
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, AI Workflows, Data Store, Version Control, Metadata Management
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months