The objective of this course is to provide a fundamental understanding of data analysis. The course proceeds in 3 parts, following the Data Science Process:
Obtain and clean the data: we will teach you how to obtain, clean, and process data from different sources such as scraped web pages, spreadsheets, APIs, and documents.
Exploratory Data Analysis: we develop your skills in pre-modeling and post-modeling exploratory data analysis and visualization. This part is all about understanding your data.
Modeling: We choose some very specific models to cover, from the perspective of teaching techniques which are generalizable to any models. Thus we will cover classification and recommendation engines. We’ll also cover similarity and PCA, as a way of understanding structure in your data and the models you ran on them.