关于此课程： 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).
此课程适用人群： A learner with previous database systems experience will be able to design, test, and implement analytical, transactional or NoSQL database systems according to business requirements by programming reliable, scalable and maintainable applications and resources using SQL and Hadoop ecosystem. By the end of this Specialization, learners will have completed 4 progressively harder database projects.
制作方： 墨西哥国立自治大学
教学方： María del Pilar Ángeles, Full time professor at the Department of Computer Engineering
Department of Computer Engineering
| 基本信息 | 课程 2（共 4 门，Database systems Specialization ） |
| 级别 | 中级 |
| 语言 | 英语（English） |
| 硬件要求 | Window o Linux. You will need: 8-10 GB of RAM and 500 GB de HDD. |
| 如何通过 | 通过所有计分作业以完成课程。 |
授课大纲
第 1 周
Introduction to Business Intelligence as Analytical System
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!
2 个视频, 1 个阅读材料, 1 个练习测验
- Reading: Welcome to the course
- Discussion Prompt: Welcome!
- 视频: How data is analyzed?
- Practice Quiz: Business intelligence
第 2 周
Designing a Data Warehouse
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.
2 个视频, 1 个练习测验
- 视频: Steps to Multidimensional model OLTP
- Discussion Prompt: Business intelligence project
- Practice Quiz: Designing a Data Warehouse
已评分: OLAP Bookstore Requirements
第 3 周
The ETL process and Analytical queries with SQL
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.
2 个视频, 1 个练习测验
- 视频: Typical OLAP operations
- Practice Quiz: The ETL process and Analytical queries with SQL
- Discussion Prompt: The ETL process
已评分: Bookstore Analytical Queries
第 4 周
Predictive Analytics with Data mining
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.
2 个视频, 1 个练习测验
- 视频: ID3 Algorithms
- Peer Review: Formative Exercises
- Discussion Prompt: Predictive Analytics with Data mining
- Practice Quiz: Data mining
已评分: Bookstore Data Mining Queries
第 5 周
The problem of integration and analysis of unstructured data
After completing this module, a learner will learn the types of data according to structure and how to integrate, store and analyze unstructured data.
2 个视频, 1 个练习测验
- 视频: Integrate, store and analyze unstructured data
- Practice Quiz: Types of data
- Discussion Prompt: Unstructured data
第 6 周
Big Data and Hadoop Framework
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.
2 个视频, 1 个练习测验
- 视频: Analysis of unstructured data
- Practice Quiz: Concepts of Big Data and Hadoop Framework
- Discussion Prompt: Analysis of data
- Peer Review: Labs Hadoop
已评分: Assesment
常见问题解答
运作方式
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制作方
墨西哥国立自治大学
La Universidad Nacional Autónoma de México fue fundada el 21 de septiembre de 1551 con el nombre de la Real y Pontificia Universidad de México. Es la más grande e importante universidad de México e Iberoamérica. Tiene como propósito primordial estar al servicio del país y de la humanidad, formar profesionistas útiles a la sociedad, organizar y realizar investigaciones, principalmente acerca de las condiciones y problemas nacionales, y extender con la mayor amplitud posible, los beneficios de la cultura.
价格
| 购买课程 | |
|---|---|
| 访问课程材料 | 可用 |
| 访问评分的材料 | 可用 |
| 收到最终成绩 | 可用 |
| 获得可共享的课程证书 | 可用 |
