Course in Big Data and Business Intelligence
100% Online
3 meses
260€
Matricularme

    Course in Big Data and Business Intelligence

    100% Online
    3 meses
    260€
    Matricularme
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    Presentación

    The Course in Big Data and Business Intelligence offers you the opportunity to dive into one of the most dynamic and rapidly growing sectors today. As organisations increasingly rely on data-driven decision-making, the demand for skilled professionals in big data and business intelligence continues to soar. This course equips you with the essential skills to analyse complex datasets and transform them into actionable insights, empowering you to drive strategic decisions and enhance business performance. By focusing on key areas such as data analysis, visualisation, and strategic implementation, you will be well-prepared to meet the industry's demands. Join us to stay ahead in your career and become a vital asset in the data-driven economy.
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    Para qué te prepara
    The Course in Big Data and Business Intelligence equips you to harness the power of data for strategic decision-making. You'll learn how to analyse vast datasets, uncover trends, and generate actionable insights. By mastering data visualisation and predictive modelling, you can drive business growth and optimise operations. This course empowers you with the skills to transform raw data into valuable business intelligence, enhancing your ability to make informed decisions.
    Objetivos
    - To understand key concepts of Big Data and Business Intelligence. - To analyse large datasets using advanced analytical tools. - To develop data-driven strategies for business improvement. - To interpret data visualisations for effective decision-making. - To apply machine learning techniques in business contexts. - To explore cloud-based solutions for data storage and analysis. - To evaluate business performance through data insights.
    A quién va dirigido
    This course is aimed at professionals and graduates in the fields of data analysis, IT, and business management who are eager to expand or update their expertise in big data and business intelligence. Ideal for those seeking to enhance their skills with practical knowledge in data-driven decision making and insights, without requiring advanced prior experience.
    Salidas Profesionales
    - Data Analyst: Extract insights from large datasets. - Business Intelligence Consultant: Design data-driven strategies. - Data Scientist: Develop predictive models and algorithms. - Big Data Engineer: Build and maintain data processing systems. - BI Developer: Create and manage BI solutions and dashboards. - Data Architect: Design and optimise data systems and structures.
    Temario

    UNIT 1. INTRODUCTION TO BIG DATA

    1. What is Big Data?
    2. The age of large amounts of information: history of Big Data
    3. The importance of storing and extracting information
    4. Big Data focused on business
    5. Open data
    6. Public information
    7. IoT (Internet of Things)

    UNIT 2. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY

    1. Defining the concept of Business Intelligence and Information Society
    2. Architecture of a Business Intelligence solution
    3. Business Intelligence in the company departments
    4. Concepts of 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 3. PHASES OF A BIG DATA PROJECT

    1. Initial diagnosis
    2. Project design
    3. Implementation process
    4. Monitoring and control of the project
    5. Responsible and available resources
    6. Scheduling
    7. Scope and economic valuation of the project

    UNIT 4. MAIN BUSINESS INTELLIGENCE PRODUCTS

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

    UNIT 5. DATA MINING AND MACHINE LEARNING

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

    UNIT 6. DATAMART, DEPARTMENTAL DATABASE CONCEPT

    1. Approach to the concept of DataMart
    2. OLTP databases
    3. OLAP Databases
    4. MOLAP, ROLAP & HOLAP
    5. Tools for developing OLAP cubes

    UNIT 7. DATA WAREHOUSE

    1. Overview: Why Data Warehouse?
    2. Structure and Construction
    3. Implementation phases
    4. Features
    5. Data Warehouse in the cloud

    UNIT 8. BUSINESS INTELLIGENCE AND ANALYTICS TOOLS

    1. Types of BI tools
    2. Commercial products for BI
    3. Open Source Products for BI
    4. Benefits of BI tools
    Titulación
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