Hands-On Healthcare Analytics

This comprehensive learning path is designed for healthcare professionals and data enthusiasts aspiring to become healthcare data scientists. By mastering a diverse, career-building skillset spanning data analysis, machine learning, and natural language processing, you'll be equipped to uncover invaluable insights from healthcare data and implement data-driven decision-making in the dynamic medical field.

Analyze data to uncover insights and inform decisions.
Develop solutions to address complex healthcare challenges.
Leverage NLP to glean valuable info from clinical datasets.

Syllabus

Courses under this program:
Course 1: The Data Science of Healthcare, Medicine, and Public Health
-Learn how the dramatically increased quantities of data—and the methods for analyzing this data—are changing the theory and practice of healthcare.

Course 2: Excel for Healthcare: Practical Applications and Skills
-Leverage Excel for real-world healthcare applications. Gather practical skills for industry-specific scenarios, from patient data analysis to supply chain management.

Course 3: Python for Health Sciences and Healthcare
-Find out how you can use Python programming in the context of health care and health science.

Course 4: Python Data Analysis for Healthcare
-Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.

Course 5: SQL for Healthcare Professionals
-Explore the basics of SQL commands and how you can apply them in healthcare analytics.

Course 6: Descriptive Healthcare Analytics in R
-Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.

Course 7: Machine Learning Fundamentals for Healthcare
-Get an introduction to the fundamentals of machine learning and AI in this course designed for healthcare professionals.

Course 8: Hands-on Data Science and AI for Healthcare
-Discover practical, real-world strategies and use scenarios for applying data science and machine learning algorithms to gather insights and visualize data in healthcare.

Course 9: Advanced AI: NLP Techniques for Clinical Datasets
-Learn how to apply natural language processing to clinical and biomedical data.