Course in Business Intelligence and Data Analysis for Decision Making
100% Online
200 horas
260€

    Course in Business Intelligence and Data Analysis for Decision Making

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

    Presentación

    Course in Business Intelligence and Data Analysis for Decision Making is designed to equip you with the critical skills needed in today's data-driven world. As businesses increasingly rely on data to guide strategic decisions, the demand for professionals adept in business intelligence and data analysis is soaring. This course offers comprehensive insights into transforming data into actionable intelligence, empowering you to make informed decisions that can drive business success. You'll learn to harness data tools and techniques, enhancing your analytical prowess and strategic thinking. By mastering these skills, you position yourself at the forefront of a rapidly evolving sector, making you a valuable asset to any organisation. Embrace this opportunity to advance your career and become a leader in data-driven decision-making.
    Qs World University Rankings

    Universidades colaboradoras

    Para qué te prepara
    This course equips you with the skills to harness data for informed decision-making. You'll learn to analyse complex datasets, develop insightful reports, and visualise trends to support strategic business goals. By mastering data integration and predictive analysis, you'll enhance your ability to identify opportunities and solve problems, making you a valuable asset in any organisation aiming to leverage data effectively.
    Objetivos
    - To understand data analysis techniques for informed decision-making. - To learn to interpret business intelligence reports effectively. - To develop skills in data visualisation for better insights. - To acquire knowledge of data-driven decision frameworks. - To master the use of analytical tools for strategic planning. - To enhance ability to evaluate business performance using data. - To gain proficiency in identifying data trends and patterns.
    A quién va dirigido
    This course is designed for professionals and graduates in the business sector who are eager to enhance their skills in business intelligence and data analysis. Ideal for those seeking to refine decision-making capabilities through data-driven insights, it caters to individuals aiming to broaden their knowledge in a practical, non-advanced context.
    Salidas Profesionales
    - Business Intelligence Analyst - Data Analyst - Decision Support Analyst - Market Research Analyst - Data Consultant - Business Strategy Analyst - Operations Analyst - Financial Analyst - Data Visualisation Specialist - Customer Insights Analyst
    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

    UNIT 8. POWER BI

    1. Introduction to Power BI
    2. Installing Power BI
    3. Data modeling
    4. Data visualization
    5. Dashboards
    6. Data sharing

    UNIT 9. LOOKER

    1. Looker Studio
    2. Access Looker Studio
    3. Reports
    4. Types of graphs
    5. Report customization

    UNIT 10. QLIKVIEW

    1. Installation and architecture
    2. Data upload
    3. Reports
    4. Transformation and data model
    5. Data analysis
    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.

    Solicitar información