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).
Este curso forma parte de Programa Especializado - Database systems
Business intelligence and data warehousing
ofrecido por
923 ya están inscritos.
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
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 videos (Total 9 minutos), 1 reading, 1 quiz
1 lectura
Welcome to the course10m
1 ejercicio de práctica
Business intelligence12m
Semana
23 horas para completar
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 videos (Total 11 minutos), 2 quizzes
1 ejercicio de práctica
Designing a Data Warehouse18m
Semana
32 horas para completar
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 videos (Total 6 minutos), 2 quizzes
1 ejercicio de práctica
The ETL process and Analytical queries with SQL
Semana
45 horas para completar
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 videos (Total 27 minutos), 3 quizzes
1 ejercicio de práctica
Data mining
Semana
515 minutos para completar
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 videos (Total 10 minutos), 1 quiz
1 ejercicio de práctica
Types of data
Semana
63 horas para completar
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 videos (Total 17 minutos), 3 quizzes
2 ejercicios de práctica
Concepts of Big Data and Hadoop Framework40m
Assesment
Instructor
María del Pilar Ángeles
Full time professor at the Department of Computer EngineeringDepartment of Computer Engineering
Acerca de Universidad Nacional Autónoma de México
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.
Acerca del programa especializado Database systems
This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems. Through 4 courses, you will cover [transactional relational databases, business intelligence and Data warehousing, NoSQL technologies, and reliable, scalable and maintainable data intensive applications that will prepare you for a specialized information system consultant or data scientist.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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