Course in Introduction to Data Science
100% Online
200 horas
260€

    Course in Introduction to Data Science

    100% Online
    200 horas
    260€
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    Presentación

    The realm of data science is experiencing an unprecedented boom, with companies across industries seeking skilled professionals to harness the power of data for strategic insights and decision-making. Our Course in Introduction to Data Science is designed to equip you with the essential skills and knowledge to thrive in this dynamic field. You will explore foundational concepts, tools, and techniques that will empower you to analyse complex datasets and derive meaningful conclusions. As demand for data science expertise skyrockets, participating in this course will not only enhance your analytical capabilities but also open doors to a vast array of career opportunities. Dive into the world of data and become a sought-after expert who can transform data into actionable intelligence. Join us and be part of the data revolution.
    Qs World University Rankings

    Universidades colaboradoras

    Para qué te prepara
    The Course in Introduction to Data Science equips you with the skills to analyse and interpret complex datasets, allowing you to make informed decisions. You'll learn to use statistical tools and programming languages to extract meaningful insights from data. This course enhances your ability to apply data-driven solutions, identify trends, and communicate findings effectively, making you a valuable asset in any data-oriented role.
    Objetivos
    - To understand the fundamental concepts of data science and its applications. - To learn to use Python for data manipulation and analysis effectively. - To gain skills in data cleaning and preparation for analysis tasks. - To explore and interpret data using statistical methods and visualisation. - To develop the ability to communicate data-driven insights clearly. - To acquire knowledge in machine learning techniques and algorithms. - To apply data science principles to real-world problem-solving scenarios.
    A quién va dirigido
    The Course in Introduction to Data Science is designed for professionals and graduates in related fields who wish to enhance or update their knowledge in data science. Ideal for those seeking to understand fundamental concepts and tools, this course provides a solid foundation for leveraging data in their current roles.
    Salidas Profesionales
    - Junior Data Analyst in various industries - Data Visualisation Specialist for marketing firms - Entry-level Data Engineer for tech companies - Research Assistant in academic institutions - Data Consultant for small businesses - Business Intelligence Analyst in finance sectors - Data Management Assistant in healthcare organisations
    Temario

    UNIT 1. INTRODUCTION TO DATA SCIENCE

    UNIT 2. RELATIONAL DATABASES

    UNIT 3. NOSQL DATABASES AND SCALABLE STORAGE

    UNIT 4. INTRODUCTION TO A NOSQL DATABASE SYSTEM, MONGODB

    UNIT 5. PYTHON AND DATA ANALYSIS

    UNIT 6. R AS A TOOL FOR BIG DATA

    UNIT 7. PRE-PROCESSING & DATA PROCESSING

    UNIT 8. DATA ANALYSIS

    Titulación
    Claustro

    Rafael Marín Sastre

    Ingeniero técnico en informática de sistemas por la Universidad de Granada (UGR).  

    Apasionado de la informática y de las nuevas tecnologías, cuenta con 10 años de experiencia y vocación en el ámbito TIC y la programación de software. Es experto en desarrollo web, programación de aplicaciones, análisis de datos, big data, ciberseguridad y diseño y experiencia de usuario (UX/UI). 

    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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