Business intelligence and data warehousing
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Business intelligence and data warehousing
This course is part of Database systems Specialization
Instructor: María del Pilar Ángeles
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There are 6 modules in this course
Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses. You will be able to understand the problem of integration and predictive analysis of high volume of unstructured data (big data) with data mining and the Hadoop framework.
After completing this course, a learner will be able to ● Create a Star o Snowflake data model Diagram through the Multidimensional Design from analytical business requirements and OLTP system ● Create a physical database system ● Extract, Transform and load data to a data-warehouse. ● Program analytical queries with SQL using MySQL ● Predictive analysis with RapidMiner ● Load relational or unstructured data to Hortonworks HDFS ● Execute Map-Reduce jobs to query data on HDFS for analytical purposes Programming languages: For course 2 you will use the MYSQL language. Software to download: Rapidminer MYSQL Excel Hortonworks Hadoop framework In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).
In the first module named Introduction to Business Intelligence as Analytical System, we will learn how the steps of the process of datawarehousing to automate analytical processes that companies need for their business strategies. Let's start!
What's included
2 videos1 reading1 assignment1 discussion prompt
2 videos•Total 9 minutes
- Introduction to BI•6 minutes
- How data is analyzed?•3 minutes
1 reading•Total 10 minutes
- Welcome to the course•10 minutes
1 assignment•Total 12 minutes
- Business intelligence•12 minutes
1 discussion prompt•Total 10 minutes
- Welcome!•10 minutes
After completing this module, a learner will be able to identify the entire process of datawarehousing, which consist on OLAP design concepts and multidimensional modelling. The learner will be able to design and create a data warehouse from OLAP requirements.
What's included
2 videos1 assignment1 peer review1 discussion prompt
2 videos•Total 11 minutes
- Design and implement an analytical databases•7 minutes
- Steps to Multidimensional model OLTP•4 minutes
1 assignment•Total 18 minutes
- Designing a Data Warehouse•18 minutes
1 peer review•Total 60 minutes
- OLAP Bookstore Requirements•60 minutes
1 discussion prompt•Total 15 minutes
- Business intelligence project•15 minutes
After completing this module, a learner will differentiate from structured and unstructured data and will be able to extract, transform and load data into a datawarehouse. The student will also be able to program and execute OLAP queries with SQL.
What's included
2 videos1 assignment1 peer review1 discussion prompt
2 videos•Total 6 minutes
- Extract, transform and load data•3 minutes
- Typical OLAP operations•3 minutes
1 assignment•Total 18 minutes
- The ETL process and Analytical queries with SQL•18 minutes
1 peer review•Total 60 minutes
- Bookstore Analytical Queries•60 minutes
1 discussion prompt•Total 15 minutes
- The ETL process•15 minutes
After completing this module, a learner will identify the main data mining tasks and some algorithms for classification, regression and clustering for predictive and descriptive analysis on business intelligence.
What's included
2 videos1 assignment2 peer reviews1 discussion prompt
2 videos•Total 27 minutes
- The process of data mining•16 minutes
- ID3 Algorithms•11 minutes
1 assignment•Total 22 minutes
- Data mining•22 minutes
2 peer reviews•Total 120 minutes
- Formative Exercises•60 minutes
- Bookstore Data Mining Queries•60 minutes
1 discussion prompt•Total 15 minutes
- Predictive Analytics with Data mining•15 minutes
After completing this module, a learner will learn the types of data according to structure and how to integrate, store and analyze unstructured data.
What's included
2 videos1 assignment1 discussion prompt
2 videos•Total 10 minutes
- Data types according to structure of data•4 minutes
- Integrate, store and analyze unstructured data•6 minutes
1 assignment•Total 24 minutes
- Types of data•24 minutes
1 discussion prompt•Total 20 minutes
- Unstructured data•20 minutes
After completing this module, a learner will understand the problem of big data, a possible solution to the analysis of big data with the Hadoop ecosystem and under which conditions should be apply each element of this ecosystem.
What's included
2 videos2 assignments1 peer review1 discussion prompt
2 videos•Total 17 minutes
- What Big Data is?•7 minutes
- Analysis of unstructured data•9 minutes
2 assignments•Total 50 minutes
- Concepts of Big Data and Hadoop Framework•30 minutes
- Assesment•20 minutes
1 peer review•Total 60 minutes
- Labs Hadoop•60 minutes
1 discussion prompt•Total 15 minutes
- Analysis of data•15 minutes
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Reviewed on Aug 15, 2022
Good course, tried best to cover entire conepts in 6 weeks, and nice examples to linked with.
Reviewed on Sep 1, 2019
The Course was great. Hoping others will learn great stuff
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