Task: Exploratory Data Analysis on Tabular Data

SUMMARY

Exploratory Data Analysis (EDA) on tabular data is about uncovering hidden patterns, anomalies, and insights within rows and columns of data. Before any preprocessing or model training begins, EDA serves as the crucial first step where curiosity meets discovery, guiding us toward smarter decisions and deeper insights. This course teaches learners how to critically assess tabular datasets using summary statistics and visualization techniques to reveal imbalances, biases, and subtle characteristics that could impact the quality and effectiveness of subsequent analysis or modeling. Learners will apply these techniques on a given real dataset.

About The Author

Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.