About Course
Capture the Potential of Healthcare Data
The volume of data generated by hospitals, health systems, medical staff, and patients is driving an urgent need for expertly trained analysts who can get the data right. Analytical skills are as essential in an epidemic as they are in everyday wellness care, as vital for patients as they are for providers. These data skills are critical for analysts anywhere on the healthcare spectrum – on the clinical, pharmaceutical, risk, or management side. You must know how to operationalize systems to collect, measure, aggregate, interpret, and share the data your healthcare company and its partners need. Optimizing your data science skills can lead to better therapeutic options, enhanced business results, and – most important – improved patient outcomes.
Consider the impact of big data on both business health and patient health:
Key Takeaways
In this program, you will learn to:
- Identify, understand, and critique the source of a result
- Choose the most appropriate tool from a set of analytical tools for your healthcare application
- Understand R coding and Python and modify that code for a specific task
- Appropriately format, analyze, and present healthcare data to optimize its use
Who Is This Program For?
Data Science in Healthcare is designed for technical professionals who have at least a moderate level of comfort with some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics. In this program, you will learn to:
- Use RStudio and Python analytics tools to address specific healthcare applications
- Use predictive analytics for public health issues
- Use data science to increase efficiency on the operations side
- Understand how to design precision solutions for patient care using AI
- Use predictive analytics to prevent fraud and other undesired outcomes
Although these topics could be applied to a range of businesses, this program will be particularly useful for entry to mid-career professionals in roles similar to the following:
Analysts – Ideal for professionals working in analytics roles in healthcare or industries adjacent to healthcare, such as insurance, pharmaceuticals, or biotech.
Mid-Level Managers – Ideal for professionals on the executive track who have quantitative responsibilities and relevant experience in a healthcare field.
Entry-Level Professionals – Ideal for professionals just beginning their careers who are looking to develop a data foundation with applications in the healthcare industry.
Course Content
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