Data Mining and Management Strategies
Business & Leadership
About the Program
This course covers a wide variety of topics that are included in a business analytics framework. Throughout the eight-week course, we look at topics, such as: enterprise database and data models; extracting data from a database; large scale implementation of Hadoop MR; social networks and geolocalization; unstructured data, graphs, and networks; clustering (understanding the relation of things); and classification (putting things where they belong). We also review advanced methods of classification with regards to data mining and management strategies.
Who Should Attend this Program
Business managers looking to better leverage their analytics for data-driven decision making and informed strategic planning. Business consultants and decision makers needing to provide recommendations based on data analysis and visualization.
Black Box vs. White Box Approach and the Implications
Classification Black Box Methods
Clustering and Understanding the Relation of Things
Enterprise Database and Data Models
Extracting Data from a Database
Getting Data from Social Networks and Geolocalization
Large-Scale Implementation of Hadoop and MapReduce
The Data Analysis Landscape and an Overview of Machine Learning