Course Description
Business Intelligence (BI) combines analytics, data mining, data visualization, and statistical methods to enable large organizations to make improved data-driven decisions by extracting important information from complex enterprise systems. Modern BI platforms bring all the components of a project lifecycle from data preparation through discovery and modeling to assessment, deployment, and governance together in a single, integrated environment the requires minimal to no low-level coding (“low-code/no-code”).
The primary objectives of this course are to provide the student a theoretical overview of the entire lifecycle of a data science initiative in commercial settings and to provide the opportunity to get experience implementing these techniques using advanced Business Intelligence software currently used by large corporate and public sector entities.
Learning Objectives and Outcomes
The overall course objective is to learn the latest technologies and methodologies used in large enterprises to perform a broad range of business intelligence and systems analytics activities.
- The latest generation of business intelligence and analytics software is moving towards a cloud-based “no-code/low-code” data and analytics platform. We will be using leading commercial tools including the Tableau data visualization/dashboard development environment a state-of-the-art cloud-based analytics platform.
- Techniques covered will include data preparation and management, data exploration and reporting/dashboarding, advanced analytical modeling (descriptive and predictive), free text analytics, forecasting, and deployment of analytical products in a large enterprise.
- The course will focus developing an advanced understanding of setting model hyperparameters, interpreting and assessing model results, and deploying and managing data and analytics products in an enterprise environment.