GATEWAY CONSULTING SINGAPORE
1. Duration
All course participants are required to work on the Course Project Work which will account for nearly 42% of the Course contact time (7.5 hours out of a total of 18 hours for the 3-day Course).
2. Project Work Details
The Project Work component will be a major feature of the AIDA Course. In all, there will be 4 labs in which participants will be trained on the use of ChatGPT-Plus Advanced Data Analysis to acquire the necessary basic skills to undertake data analytics in healthcare. The Course Project Work will comprise 5 labs each of 1.5 hour duration. Details of the labs are as follows:
Lab 1. Introduction to Artificial Intelligence with reference to ChatGPT
(Course participants will be taught how to install and run ChatGPT-Plus Advanced Data Analysis. No coding is needed.)
Lab 2. Modifying and Visualizing Data
(Course participants will be get the opportunity to work with a real clinical dataset to try out Exploratory Data Analysis including cleaning, modifying and visualizing data using statistical charts and graphs)
Lab 3. Analysis involving Non-Measurement Data
(Course participants will be get the opportunity to work with a real clinical dataset to perform commonly used statistical tests involving non-measurement data such as chi-square tests, Fisher’s exact test, McNemar’s test for matched samples.
Lab 4. Analysis involving Measurement Data
(Course participants will get the opportunity to work with a real clinical dataset to perform commonly used statistical tests involving measurement data such as unpaired and paired t-tests, 1-way Analysis of Variance and followup Post-Hoc tests. The lab session will include the use of non-parametric tests, statistical correlation and regression analysis and regression modeling)
For the labs, participants will mostly work with a real clinical dataset comprising data taken from 1000 randomly-selected individuals in a large scale, population-based health survey.
3. Project Work Grading
The Project Work will account for 50% of the final marks for Course Assessment. The other 50% will be given for written Assessment comprising Multiple Choice Questions to be taken by participants at the end of the Course.
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