Description
3SCH
This course covers 2 independent, but complementary parts, namely data engineering, data visualization. In the first part we will cover data engineering, which is a pre-requisite to any data science/analytics project. We will explore various ways in building and maintaining data architectures for ingestion and processing, as well as ways for ensuring that there is uninterrupted flow/pipeline of data between servers and analytics applications. This includes moving data around, integrating new data sources, building data collection pipelines, among various other things using ETL (Extract, Transform, and Load) tools. The second part will cover the art and science of turning data into readable graphics. We’ll explore how to design and create data visualizations based on data available and business objectives. This includes data modeling, basic data processing, such as aggregation and filtering, mapping data attributes to graphical attributes, and strategic visual encoding based on kn