Module: Introduction

Learning Outcomes

Understand how this course is organized and basic concepts in big data analysis

You understand

• how this course is organized
• how to succeed in this course
• the life cycle of data and the data analysis workflow
• how to conceptualize data as tables/dataframes/matrices.
• how data can be categorized into types
• how to view data in geometric & linear algebra terms
• how to view data in probabilistic terms
• linear regression and the least squares method
• k-nearest neighbor classification
• how to perform data analysis in python
• how to visualize data using python

Readings