Overview

Class Central Tips

The goal of this specialization is to provide a comprehensive and holistic view of business intelligence and its enabling technologies, including relational databases, data warehousing, descriptive statistics, data mining, and visual analytics. Through this series of courses, you will explore relational database design, data manipulation through Extract/Transform/Load (ETL), gaining actionable insight through data analytics, data-based decision support, data visualization, and practical, hands-on experience with real-world business intelligence tools.

Syllabus

Course 1: The Nature of Data and Relational Database Design
- Offered by University of California, Irvine. This course provides a comprehensive overview of data, various data types, design of databases ... Enroll for free.

Course 2: Data Warehousing and Business Intelligence
- Offered by University of California, Irvine. This course builds on “The Nature of Data and Relational Database Design” to extend the process ... Enroll for free.

Course 3: Business Intelligence and Visual Analytics
- Offered by University of California, Irvine. Building on “Data Warehousing and Business Intelligence,” this course focuses on data ... Enroll for free.

Courses

0 reviews
12 hours 1 minute
View details

Building on “Data Warehousing and Business Intelligence,” this course focuses on data visualization and visual analytics. Starting with a thorough coverage of what data visualization is and what type of visualization is good for a given purpose, the course quickly dives into development of practical skills and knowledge about visual analytics by way of using one of the most popular visual analytics tools: SAS Viya, a cloud-based analytics platform. An overview of cloud architecture, automation, and machine learning is also provided.
0 reviews
6 hours 35 minutes
View details

This course builds on “The Nature of Data and Relational Database Design” to extend the process of capturing and manipulating data through data warehousing and data mining. Once the transactional data is processed through ETL (Extract, Transform, Load), it is then stored in a data warehouse for use in managerial decision making. Data mining is one of the key enablers in the process of converting data stored in a data warehouse into actionable insight for better and faster decision making. 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.
0 reviews
6 hours 51 minutes
View details

This course provides a comprehensive overview of data, various data types, design of databases for storage of data, and creation and manipulation of data in databases using SQL. By the end of this course, students will be able to describe what business intelligence is and how it’s different from business analytics and data science, conduct a basic descriptive statistical analysis and articulate the findings, and differentiate between types of statistics. They will also be able to define normalization and ETL, create an ERD that shows progression from conceptual to logical to physical design, define DDL, DML, DCL, and TCL, and write SQL scripts to create a database and associated tables.