Business intelligence and data warehousing

Por: Coursera . en: ,

  • 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!
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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