Ementorhub

Data Warehousing and Business Intelligence

This course is part of Database Design and Operational Business Intelligence Specialization

Instructor: Tim Carrington

What you'll learn

Explain different data warehousing architectures and multidimensional data modeling

Develop predictive data mining models, including classification and estimation models

Develop explanatory data mining models, including clustering and association models

Skills you'll gain

Unsupervised Learning

Market Analysis

Data Warehousing

Big Data

Machine Learning Methods

Data Science

Databases

Star Schema

Business Analytics

Cloud Computing

Predictive Modeling

Data Mining

Extract, Transform, Load

Statistical Methods

Data-Driven Decision-Making

Data Architecture

Data Modeling

Snowflake Schema

Business Intelligence

Data Mart

There are 4 modules in this course

By the end of this course, students will be able to explain data warehousing and how it is used for business intelligence, explain different data warehousing architectures and multidimensional data modeling, and develop predictive data mining models, including classification and estimation models. IN addition, students will be able to develop explanatory data mining models, including clustering and association models.

Multidimensional Modeling for Data Warehousing

Data Mining for Prediction and Explanation

Data Mining for Clustering and Association

Explore more from Data Management

Business intelligence and data warehousing

Business Intelligence Concepts, Tools, and Applications

Fundamentals of Data Warehousing

Data Warehousing: Schema, ETL, Optimal Performance