Data Management and Pre-Processing

About Activity

Objectives:
- Understand different types of data and variables in health sciences research.
- Understand different types of data structure and data transformation.
- Understand the steps involved in data cleaning to identify implausible values and outliers.
- Understand the basic statistical tools needed in data preprocessing.

Details

Package Title: Data Science in Health Research


Target Audience: All interested researchers (male/female)


Language: English


Speaker:

  • Assistant Professor - Biostatistician


Activity Date: 2021-10-01


Activity Duration: 1 day


Time: 10:00 am - 12:00 pm


Online Activity via Microsoft Teams


CME Hours: No CME hours


Cost:
Cost for External Cost for PNU / KAAUH
7 SR 5 SR