Discover powerful biostatistical methods and data analysis techniques using Wolfram Language to advance clinical research and medical insights.
Discover powerful biostatistical methods and data analysis techniques using Wolfram Language to advance clinical research and medical insights.
This course teaches biostatistics and data analysis using the Wolfram Language, focusing on its application in clinical research. Students learn to summarize data, create plots and charts, and perform statistical tests commonly used in medical research. The curriculum covers descriptive statistics, data visualization, probability distributions, inferential statistics, and regression analysis. Participants gain hands-on experience with the Wolfram Language, learning to code from basic arithmetic to advanced statistical analyses. The course also includes optional honors content on machine learning and deep neural networks. By the end, students will be able to conduct comprehensive statistical analyses for research papers and presentations.
4.7
(48 ratings)
7,125 already enrolled
Instructors:
English
21 languages available
What you'll learn
Use the Wolfram Language to summarize data and create plots
Perform common statistical tests used in clinical research
Create and interpret data visualizations for medical studies
Apply descriptive and inferential statistics to research data
Conduct regression analyses for clinical data
Understand and apply probability distributions in biostatistics
Skills you'll gain
This course includes:
2 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 4 modules in this course
This course provides a comprehensive introduction to biostatistics and data analysis using the Wolfram Language, with a focus on clinical research applications. Students will learn to use the Wolfram Language for data summarization, visualization, and statistical testing. The curriculum covers descriptive statistics, data visualization techniques, probability distributions, inferential statistics including t-tests and ANOVA, and regression analysis. Participants will gain hands-on experience in coding from basic arithmetic to advanced statistical analyses. The course also includes optional honors content on machine learning and deep neural networks using the Wolfram Language. By the end of the course, students will be able to conduct and interpret comprehensive statistical analyses for research papers and presentations.
Module 1: Introduction to Wolfram Language
Module 1 · 2 Hours to complete
Module 2: Basic Coding and Data Handling
Module 2 · 3 Hours to complete
Module 3: Data Analysis and Visualization
Module 3 · 5 Hours to complete
Module 4: Statistical Tests and Computational Essays
Module 4 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Advancing Emergency Surgery and Education at Groote Schuur Hospital
Dr. Juan Klopper is a surgeon in academic practice at Groote Schuur Hospital and serves as a senior lecturer in surgery at the University of Cape Town. After working in private practice, he returned to academia, where he now heads the Acute Care Surgery unit, specializing in emergency surgical conditions. In addition to his clinical responsibilities, Dr. Klopper creates YouTube videos on physics, mathematics, and surgery, embodying his mission statement: "Knowledge belongs to us all. Never stop learning."
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.7 course rating
48 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.