Biostatistics in Healthcare is a field that applies statistical methods to data gathered in the biological sciences, such as clinical trials, public health, genetics, and genomics. It aims to distinguish between correlation and causation to gain a proper understanding of the data. This course serves as both a refresher and an introductory course in statistical thinking and methods. It covers both descriptive and inferential statistics, and students will complete a real-life project to demonstrate their understanding.
By the end of the course, students will:
- Organize, summarize, and present data
- Describe the relation between two variables
- Understand basic probability and probability distributions
- Work with sample data to make inferences about a population
Join a diverse community of learners, including aspiring healthcare professionals looking to meet graduate school requirements, researchers hungry for deeper insights, laboratory enthusiasts seeking to enhance their analytical prowess, academics yearning to expand their statistical toolkit, and programmers eager to unlock the potential of data-driven solutions. Together, you'll embark on a transformative journey, fueled by curiosity and driven by a shared passion for unraveling the mysteries of the biological world.
Course Number: BIOL-40383
Credit: 3.00 unit(s)
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1/6/2025 - 3/21/2025
$725
Online
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CLASS TYPE:
Online Asynchronous.
This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
Sifferlen, Peter, Independent Business Analysis Consultant
Peter Sifferlen is an independent business analysis consultant. His engineering and business background with quantitative analysis experience has led him to work in the defense, industrial instrumentation and management consulting industries.
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TEXTBOOKS:
No information available at this time.
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POLICIES:
No refunds after: 1/13/2025.
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1/6/2025 - 3/21/2025
extensioncanvas.ucsd.edu
You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.
There are no sections of this course currently scheduled. Please contact the Science & Technology department at 858-534-3229 or unex-sciencetech@ucsd.edu for information about when this course will be offered again.