Gain analytical skills
Gain knowledge and skills in data analysis, data wrangling, and data visualization.This certificate, offered at the University of Colorado Anschutz Medical Campus, provides graduate training in analytic methods and data science for healthcare professionals and researchers. In this program, you'll learn about analytic methods for large and complex data in areas like ‘omics, imaging, electronic health records, and mobile health. When you leave this program, you’ll be ready to answer complex clinical questions by using data to display and communicate healthcare trends.
Gain analytical skills
Gain knowledge and skills in data analysis, data wrangling, and data visualization.Advance your career
Build your professional skillset and pursue careers such as data analyst, data scientist, or statistical programmer.Learn from the experts
Take advantage of faculty, research, and seminars from our Department of Biostatistics & Informatics and Center for Innovative Design & Analysis.The certificate can be completed in 1-1.5 years, and may be done alone, or added to another degree or concentration. In this 15-credit certificate program, you'll learn methods for analytic data science in healthcare and how to apply data science methods in a variety of public health science settings.
Students need to take one course from each table and earn a minimum of 5 credits.
Course requirement | Course ID |
Applied Biostatistics II | BIOS 6602 |
Or | |
Biostatistical Methods I | BIOS 6611 |
Applied Biostatistics I is prerequisite for Applied Biostatistics II.
Biostatistical Methods I is a prerequisite for several electives.
Course requirement | Course ID |
R for Data Science | BIOS 6640 |
Or | |
Introduction to Python | BIOS 6642 |
Applied Biostatistics I is prerequisite for Applied Biostatistics II.
Course requirement | Course ID |
Biostatistical Methods II | BIOS 6612 |
Advanced Data Analysis | BIOS 6623 |
Causal Inference | BIOS 6641 |
Predictive Analytics | BIOS 6645 |
Introduction to Biomedical Data Science | BSBT 6111 |
Machine Learning | CSCI 5930 |
Deep Learning | CSCI 5931 |
Data Science | CSCI 5580 |
Big Data Science | CSCI 5932/7952 |
Advanced Statistical Methods for Research | MATH 6388 |
Course requirement |
Course ID |
---|---|
Data Management using SAS |
BIOS 6680 |
R for Data Science | BIOS 6640 |
Introduction to Python Programming | BIOS 6642 |
Practical Data Wrangling | BIOS 6644 |
Computational Methods for Addressing Big Data Challenges | CPBS 7630 |
Database Systems | CSCI 5559 |
Big Data Systems | CSCI 5951 |
Course requirement |
---|
Genomics |
Health Informatics |
Imaging Analysis |
Health Services Research |
Mobile Health |
Identifier | Certificate in Health Analytics and Data Science |
CERT-HADS 1 | Use modern computer software such as R or Python to read in multiple data types, merge files, and process data for statistical analysis steps in typical Data Science projects. |
CERT-HADS 2 | Use software such as R or Python to create graphical displays for exploring and communicating data and results. |
CERT-HADS 3 | Carry out statistical analyses for continuous outcome data (normal linear model) and categorical outcome data (logistic regression). Understand model fit, selection, evaluation, and interpretation. |
CERT-HADS 4 | Data science: Apply methods from at least one area of advanced statistics/analytics listed in Table 2. |
CERT-HADS 5 | Data communication and storytelling: Communicate methods and results of Health Analytics and Data Science verbally, and in writing to data scientists and general audiences. |
CU Anschutz
Fitzsimons Building
13001 East 17th Place
3rd Floor
Mail Stop B119
Aurora, CO 80045