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: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Process Analysis, Regression Analysis, Statistical Process Controls, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Process Optimization, Quality Improvement, Risk Management, Quality Management, Statistical Analysis, Quality Control, Process Capability
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
Beginner · Guided Project · Less Than 2 Hours

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), Keras (Neural Network Library), Embeddings, Applied Machine Learning, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Machine Learning Algorithms, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling
Beginner · Guided Project · Less Than 2 Hours

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: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Prototyping, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, SQL, Data Analysis, Machine Learning
Intermediate · Specialization · 1 - 3 Months

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

Skills you'll gain: Team Building, Team Management, Stakeholder Analysis, Internal Communications
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