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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. WEKA and Data Mining

UNIT 6. PYTHON AND DATA ANALYSIS

UNIT 7. R AS A TOOL FOR BIG DATA

UNIT 8. DATA PRE-PROCESSING & DATA PROCESSING

UNIT 9. DATA ANALYSIS

Plan de estudios

Resumen salidas profesionales
The Course in Data Science and Mining is your gateway to mastering one of the most sought-after skills in today's digital age. With data becoming the new oil, the demand for professionals who can analyse and interpret vast datasets has skyrocketed. This course offers you a comprehensive understanding of data science principles and mining techniques, equipping you with the ability to transform raw data into actionable insights. You'll learn to harness the power of data to drive decision-making and innovation across various industries. By participating in this online course, you'll position yourself at the forefront of a booming sector, gaining skills that are in high demand and essential for future-proofing your career. Join us to unlock new opportunities and become a leader in the dynamic field of data science.

Objetivos
- Understand data science principles and their real-world applications. - Develop skills to analyse datasets and extract insights effectively. - Learn to use statistical methods for data interpretation and analysis. - Master data visualisation techniques to present findings clearly. - Acquire knowledge of machine learning algorithms and their uses. - Explore data mining techniques to uncover hidden patterns. - Gain proficiency in using Python for data science tasks.
Salidas profesionales
- Data Analyst in various industries - Business Intelligence Analyst - Machine Learning Engineer - Data Mining Specialist - Statistical Analyst - Predictive Modeller - Data Consultant - Operations Research Analyst - Data Engineer - Big Data Analyst - Marketing Analyst - Risk Analyst - Healthcare Data Analyst
Para qué te prepara
The Course in Data Science and Mining equips you to tackle complex data challenges using advanced analytical techniques and tools. You'll be able to extract meaningful insights from vast datasets, apply machine learning algorithms, and develop predictive models. This course prepares you to solve real-world problems by transforming raw data into actionable knowledge, enhancing decision-making processes across diverse domains and industries.

A quién va dirigido
The Course in Data Science and Mining is designed for professionals and graduates in the field keen on broadening or refreshing their expertise. Ideal for those interested in harnessing data-driven insights and exploring practical applications in their careers, this course offers a comprehensive yet accessible approach to contemporary data methodologies.

Metodología
Aprendizaje online gif Aprendizaje online
Aprendizaje 100% online
Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.
Campus virtual Campus virtual
Campus virtual
Accede al campus virtual desde cualquier dispositivo, las 24 horas del día. Contando con acceso ilimitado a los contenidos de este curso.
Equipo docente especializado Equipo docente especializado
Equipo docente especializado
El alumnado cuenta con un equipo de profesionales en esta área de formación, ofreciéndole un acompañamiento personalizado.
Centro del estudiante Centro del estudiante
Centro del estudiante
Contacta a través de teléfono, chat y/o email. Obtendrás una respuesta en un tiempo máximo de 24/48 horas en función de la carga docente.

Titulación de course data science and mining

Titulación expedida por Educa Open, centro especializado en formación en diversas áreas tecnológicas
EDUCAOPEN
EDUCAOPEN_DIPLOMA

Claustro docente

Euroinnova International Online Education
Isaías Aranda Cano

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Daniel Cabrera Armenteros

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Alan Sastre

Docente de la facultad de ingeniería

Descubre todas nuestras becas personalizadas

-25%
ANTIGUOS
ALUMNOS
-20%
BECA
DESEMPLEO
-15%
BECA
EMPRENDE
-15%
BECA
AMIGO
Metodología MyLxp
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