Wrap-up

Conquering Data Bias

Konstantinos Kattidis

Data Analytics Lead

Chapter 1: Understanding data bias

Data biases through data lifecycle

You unraveled the concept of data bias, exploring its development and prevalence throughout the data lifecycle
You examined its impact on decision-making and identified various types of data bias

You learned to recognize and address selection bias, historical bias, and measurement bias
You explored strategies for ensuring diverse and representative datasets

(sampling, stratified sampling, data augmentation, and standardized measurement tools)

Data bias mitigation strategies

Data selection causing algorithmic bias

You explored cognitive biases like confirmation bias and anchoring
You learned about reporting bias and its implications and how algorithmic biases can affect model development and outcomes
You mastered techniques to detect and mitigate bias

You're now equipped to conduct more ethical, accurate, and fair data analyses!
Continue to explore:
- Introduction to Data Ethics
- Introduction to Data Privacy
- Responsible AI Practices

Learning book

Conquering Data Bias