Healthcare

1- Introduction to Healthcare Data Science 2- Types and Sources of Healthcare Data 3- Key Healthcare Analytics and Concepts 4- Healthcare Data Collection 5- Healthcare Data Standards 6- Data Privacy and Security 7- Techniques for Cleaning and Exploring Healthcare Datasets 8- Visualisation Tools for Healthcare Data 9- Handling Missing and Imbalance Data specific to Healthcare 10- Descriptive and Inferential Statistics in Clinical Research 11- Hypothesis Testing for Healthcare Studies 12- Survival Analysis & Longitudinal Data Analysis 13- Supervised Learning for Disease Prediction 14- Unsupervised Learning for Patient Segmentation & Anomaly Detection 15- Model Evaluation & Validation with Healthcare Metrics 16- Introduction to Neural Networks & Transformers for Clinical Text and Time Series Data 17- Recurrent Neural Networks and Transformers for Clinical Text & Time Series Data 18- Natural Language Processing 19- Predictive Modelling for Hospital Readmission and Patient Risk Scoring 20- Clinical Decision Support Systems & AI in Diagnostics 21- Integration of Predictive Models into Healthcare Workflows 22- Ethics & Bias in Healthcare AI Models 23- Legal Regulations & Patient Data Consent 24- Fairness, Accountability, and Transparency in Healthcare Analytics 25- Healthcare