Day 1

0900 – 1030      Unit 1.    Strategic importance of fostering a data-driven culture in healthcare organizations

1030 – 1100      Break

1100  – 1230     Unit 2.    Health data processing and reporting techniques

1230 – 1330      Lunch

1330 – 1500      Unit 3.    Study designs and sampling techniques (including sample size estimations)

1500 – 1530      Break

1530 – 1700      Lab 1.     Hands-on:  Introduction to R and R-Commander and derivation of basic statistical indices for KPIs (no coding is needed)

Day 2
0900 – 1030      Unit 4.      Health data summary and visualization

1030 – 1100      Break

1100 – 1230      Unit 5.      Basic Statistical Techniques for Analysis of Measurement and Non-Measurement Data

1230 – 1330      Lunch

1330 – 1500      Lab 2.     Hands-on:  Statistical and Visual analytics using R-Commander (1)

1500 – 1530      Break

1530 – 1700      Lab 3.      Hands-on: Statistical and Visual analytics using R-Commander (2)

Day 3
0900 – 1030       Unit 6.      Predictive Analytics involving Regression Techniques

1030 – 1100       Break

1100 – 1230       Unit 7.      Predictive Analytics involving Non-Regression Techniques

1230 – 1330       Lunch

1330 – 1500       Lab 4.      Hands-on: Predictive Analytics using R-Commander

1500 – 1530       Break

1530 – 1700       Lab 5.      Plenary session, assessment and evaluation