Big Data And Business Intelligence

Dive into the exciting world of Big Data and Business Intelligence with our online course! You will discover how large amounts of information shape the present and future of business.

Duración200 h
FormatoSCORM 1.2

Sobre este contenido

Dive into the exciting world of Big Data and Business Intelligence with our online course! You will discover how large amounts of information shape the present and future of business. You will learn to interpret data, design strategies and make decisions based on relevant information. Stand out in a job market hungry for professionals in this field! Master concepts such as business intelligence, data mining, data warehousing and more to advance your career. Don't get left behind in the information age! Be part of the big data revolution.

A quién va dirigido

This Big Data and Business Intelligence course is designed for professionals in business, marketing, technology, or anyone interested in understanding and applying data analysis for strategic decision making. Using an introductory approach, the course covers everything from the fundamentals of big data and business intelligence to the phases of a data analysis project, including data mining and data warehouse implementation. No previous experience is required, making it ideal for those who want to enter the world of data analysis in a practical and accessible way. Become a Big Data and Business Intelligence expert with this course!

Temario

Contenido del temario · 200 horas

Contenido

UNIT 1. INTRODUCTION TO BIG DATA
What is Big Data?
The age of large amounts of information: history of Big Data
The importance of storing and extracting information
Big Data focused on business
Open data
Public information
IoT (Internet of Things)
UNIT 2. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY
Defining the concept of Business Intelligence and Information Society
Architecture of a Business Intelligence solution
Business Intelligence in the company departments
Concepts of Master Plan, Strategic Plan and Annual Operational Plan
Operational Systems and ETL Processes in a BI system
Advantages and Risk Factors of Business Intelligence
UNIT 3. PHASES OF A BIG DATA PROJECT
Initial diagnosis
Project design
Implementation process
Monitoring and control of the project
Responsible and available resources
Scheduling
Scope and economic valuation of the project
UNIT 4. MAIN BUSINESS INTELLIGENCE PRODUCTS
Balanced Scorecards (BSC)
Decision Support Systems (DSS)
Executive Information Systems (EIS)
UNIT 5. DATA MINING AND MACHINE LEARNING
Introduction to data mining and machine learning
KDD process
Data Mining Models and Techniques
Application areas
Text Mining and Web Mining
Data mining and marketing
UNIT 6. DATAMART, DEPARTMENTAL DATABASE CONCEPT
Approach to the concept of DataMart
OLTP databases
OLAP Databases
MOLAP, ROLAP & HOLAP
Tools for developing OLAP cubes
UNIT 7. DATA WAREHOUSE
Overview: Why Data Warehouse?
Structure and Construction
Implementation phases
Features
Data Warehouse in the cloud
UNIT 8. BUSINESS INTELLIGENCE AND ANALYTICS TOOLS
Types of BI tools
Commercial products for BI
Open Source Products for BI
Benefits of BI tools

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