Healthcare organizations generate vast and complex data across clinical, operational, and financial systems. This specialization is designed to equip you with the end-to-end analytics and visualization skills needed to work confidently with healthcare data and turn it into meaningful, decision-ready insights.
The specialization includes three short courses, eachrequiringapproximately8-9hours of learner engagement.
Across the three hands-on courses, you will learn how to identify, prepare, and analyze healthcare data from diverse sources, apply statistical and predictive modeling techniques, and design executive-ready dashboards that support clinical, operational, and strategic decision-making. You will work with real-world healthcare datasets using industry-relevant tools such as Python, Excel, SQL, and Google Looker Studio, while also developing a strong understanding of data privacy, ethics, and regulatory requirements.
By moving from foundational data understanding to applied analytics and executive communication, this specialization emphasizes practical, job-ready skills. You will gain experience analyzing healthcare performance, evaluating clinical outcomes, and communicating insights clearly to clinicians, administrators, and leadership—preparing you for roles such as healthcare data analyst, clinical analyst, health informatics specialists, or healthcare business intelligence professional.
Projet d'apprentissage appliqué
Through the hands-on labs and projects included in the program, you’ll gain practical experience and skills for cleaning and analyzing healthcare data, building predictive insights, and presenting results through executive-ready dashboards.
Examples of labs and projects included in the program:
Import, combine, and clean healthcare datasets using Excel and SQL by handling missing values, duplicates, and inconsistencies
Analyze and summarize healthcare data using Excel formulas, sorting, filtering, and SQL queries (SELECT, JOIN) to uncover trends and actionable insights
Apply descriptive and inferential statistics to analyze ED visit patterns and test differences in length of stay across patient groups
Build and evaluate predictive models to predict hospital admission outcomes
Createaccuratehealthcare KPIs andanalyzeclinical, operational, financial, and access-related data
Design executive-ready dashboards and visualizations to clearly communicate healthcare insights
