QC, pre-processing and normalisation
Trainers: Yuyao Song, Iris Diana Yu
Overview: In this recorded lecture and live demo session, we will cover essential techniques for preparing data for analysis. We will begin with Quality Control (QC) to assess and ensure the integrity and reliability of our data, identifying and addressing any errors or inconsistencies. Next, we will explore pre-processing steps, which involve cleaning and organising the data to make it suitable for analysis. Finally, we will discuss normalisation methods to standardise data values, making them comparable and enhancing the accuracy of subsequent analyses.
Materials:
- Pre-recorded session – watch until 23 minutes
- Presentation slides
- Recorded session
Practical materials: