Working with Data Course – Labs

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 Working with Data Course.   In all, there will be 4 labs in which participants will be trained on the use of the R statistical package 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 R and R-Commander  and their functionalities

(Course participants will be taught how to download, install and run the open-source R statistical software and implement the R-Commander, which is the gui for R.  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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