Course in Introduction to Business Intelligence
100% Online
200 horas
260€
Course in Introduction to Business Intelligence
    Course in Introduction to Business Intelligence

    Course in Introduction to Business Intelligence

    100% Online
    200 horas
    260€
    Seguridad y confianza en tus pagos online.

    Presentación

    The Course in Introduction to Business Intelligence is your gateway to mastering the rapidly expanding field of business analytics. As companies increasingly rely on data-driven decisions, the demand for skilled professionals in Business Intelligence is skyrocketing. This course equips you with essential analytical skills to harness data effectively, providing you with a competitive edge in the job market. You'll explore key concepts and tools that enable strategic decision-making, enhancing your ability to transform raw data into valuable insights. With flexible online learning, you can delve into the world of Business Intelligence from anywhere, at your own pace. By enrolling, you position yourself at the forefront of a crucial industry, opening doors to exciting career opportunities where you can drive transformation and innovation. Unleash your potential and become a vital asset in any business environment with this comprehensive introduction to Business Intelligence.
    Qs World University Rankings

    Universidades colaboradoras

    Para qué te prepara
    The Course in Introduction to Business Intelligence is designed for professionals and graduates in the sector who wish to enhance or update their knowledge. Ideal for those looking to explore the fundamentals of business intelligence, it provides a comprehensive overview without requiring advanced prior expertise.
    Objetivos
    - To understand the fundamental concepts of business intelligence systems. - To analyse data using basic statistical techniques and tools. - To identify key performance indicators for business decision-making. - To explore data visualisation methods to present insights effectively. - To evaluate the role of data warehouses in business intelligence. - To develop strategies for data-driven decision-making in business contexts. - To examine the ethical considerations in business intelligence practices.
    A quién va dirigido
    The Course in Introduction to Business Intelligence is designed for professionals and graduates in the sector who wish to enhance or update their knowledge. Ideal for those looking to explore the fundamentals of business intelligence, it provides a comprehensive overview without requiring advanced prior expertise.
    Salidas Profesionales
    - Business Intelligence Analyst - Data Analyst - Reporting Specialist - BI Developer - Data Visualisation Expert - Market Research Analyst - Operations Analyst - Performance Analyst - Data Consultant - Insights Strategist
    Temario

    UNIT 1. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY

    1. Definitions of Business Intelligence and Information Society
    2. Business Intelligence Solution Architecture
    3. Business Intelligence in the company departments
    4. Master Plan, Strategic Plan and Annual Operational Plan
    5. Operational Systems and ETL Processes in a BI system
    6. Advantages and Risk Factors of Business Intelligence

    UNIT 2. MAIN BUSINESS INTELLIGENCE PRODUCTS

    1. Balanced Scorecards (BSC)
    2. Decision Support Systems (DSS)
    3. Executive Information Systems (EIS)

    UNIT 3. DATA MINING AND MACHINE LEARNING

    1. Introduction to data mining and machine learning
    2. KDD process
    3. Data Mining Models and Techniques
    4. Areas of application
    5. Text Mining and Web Mining
    6. Data mining and marketing

    UNIT 4. DATAMART. DEPARTMENTAL DATABASE CONCEPT

    1. Definition of DataMart
    2. Data extraction, transformation and loading (ETL) processes
    3. Data Warehouse
    4. Exploitation Tools
    5. Tools for OLAP cube development

    UNIT 5. DATAWAREHOUSE

    1. What is a Data Warehouse?
    2. Structure and Construction
    3. Implementation phases
    4. Features
    5. Data Warehouse in the cloud

    UNIT 6. INTRODUCTION TO DATA VISUALIZATION

    1. What is data visualization?
    2. Importance and tools of data visualization
    3. Data visualization: Basic principles

    UNIT 7. TABLEAU

    1. What is Tableau? Uses and applications
    2. Tableau Server: Architecture and Components
    3. Tableau Installation
    4. Workspace and navigation
    5. Data Connections in Tableau
    6. Types of filters in Tableau
    7. Sorting data, groups, hierarchies and sets
    8. Tables and charts in Tableau
    Titulación
    Claustro

    Alan Sastre

    Ocupa el puesto de CTO (Chief Technology Officer) y formador. Diseña e imparte formación en diferentes áreas como desarrollo web, bases de datos, big data, business intelligence y ciencia de datos. Además, trabaja diaramente con las tecnologías del ecosistema Java, C# y Phyton.

    Dani Pérez Lima

    Global IT support manager de una multinacional con más de 20 años de experiencia en el mundo IT, además de un apasionado de la virtualización de sistemas y de la transmisión de conocimiento en el ámbito de la tecnología.

    José Domingo Muñoz Rodríguez

    Ingeniero informático, profesor de secundaria de ASIR y coorganizador de OpenStack Sevilla con dilata experiencia en sistemas GNU/Linux. Administra clouds públicos y gestiona un cloud privado con OpenStack.

    Juan Benito Pacheco

    Como tech lead, ayuda a organizaciones a escalar sus servicios e infraestructura. Lleva más de 5 años programando tanto en front-end como back-end con JavaScript, Angular, Python o Django, entre otras tecnologías.

    Juan Diego Pérez Jiménez

    Profesor de Ciclos Formativos de Grado Superior de Informática. Más de 10 años creando páginas web y enseñando cómo hacerlas, cómo usar bases de datos y todo lo relacionado con la informática.

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