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: 2020-09-29
Activity Duration: 1 day
Time: 10:00 am - 12:00 pm
Online Activity via Microsoft Teams
CME Hours: No CME hours
Cost: Free