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: Supply Chain Management, Supply Chain Planning, Supply Chain, Inventory Management System, Demand Planning, Supply Chain Systems, Materials Management, Forecasting, Customer Demand Planning, AI Enablement, Supplier Management, Risk Mitigation, Transportation, Supply Chain, and Logistics, Risk Analysis, Business Risk Management, Automation, Risk Management, Business Process Automation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
Beginner · Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation
Mixed · 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: Security Management, Role-Based Access Control (RBAC)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Microsoft Azure, Machine Learning Methods, Data Validation, No-Code Development, Data Processing, Document Management, Cloud Services
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Whizlabs
Skills you'll gain: Model Evaluation, AWS SageMaker, Predictive Modeling, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Artificial Intelligence, AI Security, AI Enablement, End User Training and Support, Human Computer Interaction, Information Privacy
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, MLOps (Machine Learning Operations), Predictive Modeling, Responsible AI, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months