Course Objectives: The main objective of the course is to understand the life cycle of data, starting from collecting the data to storing and analyzing it and to present the results of the analysis in an intuitive and visually appealing way.
Pre-requisites: Data Structures, Introduction to Machine Learning
Coverage: The broad topics that will be covered in this course include data collection from online and offline sources, data cleaning problems and methods, data processing and storage for relational, non-relational, unstructured and graph-structured data, data analysis with various tools, including statistics, machine learning models and SQL, and visualization.
