About the course
The course is 35+ lectures available through this platform
It takes 8 weeks to finish
First 6 weeks for studying the theoretical and practical lectures, followed by a 2-week project
Access expires after 3 months and you can extend it for additional 3 months for free
At the end of each week, there is a live session on Zoom to summarize, revise, and for answering the questions
This course is suitable for:
Clinical and medical researchers
Medical and pharmacy students
Bioengineering students
Staff / Faculty members
PhD and Master's students
Computer science and data science students
Freelancers
And anyone interested in R programming, statistics and machine learning
Note: the course is in Arabic
Available Group-Discount
A group of 2 persons - 80$
A group of 3 persons - 70$
A group of 4 persons - 60$
A group of 5 or more - 50$
Students are eligible for a 20% discount
To a get a discount coupon, send an email with names and details of the group at: ahmeds1999haheen@yahoo.com
Financial aid
We offer ample assistance to students who are affected by war and crisis situations. If you encounter any challenges, financial or otherwise, please reach out to us at:
- Introduction to R and R studio (64:45)
- Data types in medical research (68:16)
- Variables, vectors, data frames, Logical operators, Looping, if statement, functions (95:53)
- Data wrangling: tidyverse (113:46)
- Making a function and Package , If statement, for loop (50:07)
- Visualisation: ggplot (76:00)
- Depression Project Example
- Model Selection: Training and Testing Loop for Multiple Models (76:49)
- Feature Selection (68:49)
- Tree Based Models
- Diagnostic & Accuracy test & "h2o" package in action (116:01)
- Model Interpretation
- PCA Analysis
- Clustering Analysis
- Autoencoders for Dimensionality Reduction
- Shiny App and Model Deployment: a complete SEER project (57:53)