SC5010 INTRODUCTION TO DATA ANALYSIS

In today's era of Information, `Data' is the new driving force, provided we know how to extract relevant `Intelligence'. This course will start with the core principles of Data Science and Data Analysis, and will eventually equip you with the basic tools and techniques of data handling, exploratory data analysis, data visualization, data-based inference, and data-focused communication. The course will also introduce you to the fundamentals of Machine Learning - prediction, classification, clustering and anomaly detection - to set the computational framework for Data Science and Analysis. The goal is to motivate you to work closely with data and make data-driven decisions in practice. The course will also touch upon some ethical issues and motivate you to explore the cutting-edge applications related to Big Data, Neural Networks and Deep Learning. Python will be the language of choice to introduce hands-on computational techniques.

Prerequisites Tree