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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
Rafael Marín Sastre

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

Course Data Science And Mining

Are you passionate about computer systems? Do you understand the importance of relational databases? Are you interested in learning programming languages? Do you know the benefits of Python? Would you like to enhance your Big Data tools? Would you like to implement data analysis into your professional profile? If you want to achieve any of these goals and many more, this diploma is the perfect opportunity for you. Thanks to the e-learning methodology and qualified tutors, you will be able to learn in the most flexible and comfortable way possible. Don’t hesitate any longer and take the professional leap you deserve!

Now is the time to expand your professional skills! Still undecided? We invite you to continue reading our blog entry about data science!

COURSE ONLINE DATA SCIENCE AND MINING

Data mining and data science are crucial for extracting valuable insights from large datasets. By analyzing patterns and trends, businesses can make informed decisions, improve strategies, and enhance efficiency. Data mining helps uncover hidden relationships within data, while data science combines various techniques to interpret complex information. Together, they drive innovation, optimize processes, and provide a competitive edge in industries such as finance, healthcare, and marketing. As data continues to grow, the ability to harness and analyze this information will remain a key factor in achieving success and maintaining relevance in an increasingly data-driven world.

 
 
 

Why is the Data Science and Mining Course so important?

Data science has become one of the most vital fields in recent years. It involves tools, systems, and techniques that use data collection to generate meaningful insights. Although it may seem abstract, these systems are used in everyday matters and are of great utility.

In the business world, this equipment makes the difference between an effective business and one that lacks productivity. The information derived from these data helps businesses refine their action plans. They can analyze sales figures, identify causes of declines, and study customer patterns, current trends, and areas for improvement.

Moreover, relational databases are handled through programming languages like Python, which is a great advantage if you want to become an expert in multiple areas. Python is one of the most versatile languages today, being used across a wide range of projects and sectors, from web applications to machine learning, automation, and IoT.

Specialize in Data Structures with this Online Course from Euroinnova

We live in a digital world where technological innovation is constant. Programming has played a significant role, enabling advances in automation and application development that solve various personal and professional problems, boosting productivity and efficiency. Technology has also advanced data analysis, enabling businesses to process vast amounts of data effectively and use it for strategic decision-making.

Increased market research efforts can be key to business success. Having in-depth knowledge of the market and target audience allows businesses to make more informed decisions that align with customer needs and anticipate changes before competitors. This leads to improved market positioning and competitiveness.

To carry out these tasks efficiently, it's essential to expand knowledge of data structures. These tools are invaluable for organizing available information to design suitable solutions. Two common types of structures used in this field are:

  1. Static structures, such as arrays, where data size is fixed before execution.
  2. Dynamic structures, like linear and non-linear structures (linked lists, stacks, queues, trees, graphs), which allow modification of data size during program execution.

What Will You Learn in This Online Course?

In this diploma, you will master essential skills for dominating one of today's most important fields: data science. Key topics include relational data introduction, data analysis techniques, and working with systems like NoSQL databases, MySQL, and MongoDB.

Why Choose Euroinnova?

Euroinnova offers exclusive educational content backed by years of experience as a well-established institution, highly valued by our students. This guarantees you the best credentials in the sector to continue developing future professionals or to improve established ones. We achieve this through three core standards:

  • Online: Our wide variety of courses and diplomas are designed to fit your needs and schedule, allowing you to organize your learning at your own pace.
  • Professional: Each course is taught by experienced professionals who guide you through the learning process, ensuring you acquire the key knowledge for the workplace.

Access our virtual campus to learn more about this and other related courses, diplomas, and master’s programs. We’re confident we have the perfect training for you.

Through a 100% online methodology, take our Data Science and Mining Course, at your own pace, with no set schedule. Don’t wait any longer; this course will help you expand your professional horizons. Meet the professional demands of this field with the training provided by Euroinnova.

Enroll today or request free information!

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