THIS IS THE MORE TECHNICAL VERSION OF DATA MINING FOR BUSINESS ANALYTICS [SEE INFO-GB 3336]. SOME PROGRAMMING EXPERIENCE REQUIRED. Businesses, governments, and...  More >>

THIS IS THE MORE TECHNICAL VERSION OF DATA MINING FOR BUSINESS ANALYTICS [SEE INFO-GB 3336]. SOME PROGRAMMING EXPERIENCE REQUIRED. Businesses, governments, and individuals create massive collections of data as a by-product of their activity. Increasingly, data is analyzed systematically to improve decision-making. We will examine how data analytics technologies are used to improve decision-making. We will study the fundamental principles and techniques of mining data, and we will examine real-world examples and cases to place data-mining techniques in context, to improve your data-analytic thinking, and to illustrate that proper application is as much an art as it is a science. In addition, we will work hands-on mining data using Python and its data science libraries. After taking this course you should: (1) Approach problems data-analytically. Think carefully & systematically about whether & how data can improve business performance, to make better-informed decisions. (2) Be able to interact competently on business analytics topics. Know the fundamental principles of data science, that are the basis for analytics processes, algorithms, & systems. Understand these well enough to work on data science projects and interact with everyone involved. Envision new opportunities. (3) Have had hands-on experience mining data. Be prepared to follow up on ideas or opportunities that present themselves.

Pre-requisites:
INFO-GB.2335 - Programming in Python and Fundamentals of Software Development

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