HIGHER EDUCATION COURSE IN BIG DATA

INTRODUCTION

The Higher Education Course in Big Data is a training program specialized in the analysis and management of large volumes of data. The course offers an introduction to the technologies and tools used in data processing, as well as in the analysis and visualization of information.

Choose to train at ENEB, one of the most prominent distance business schools in Europe, allowing you to train at the highest level from anywhere, with daily support from all professors and tutors.

CERTIFICATION

Upon completion of your studies, you will receive the following certification issued by the European Business School of Barcelona, endorsed and certified by the University of Isabel I:

• Higher Education Course in Big Data

WHO IS IT FOR?

The Higher Education Course in Big Data is aimed at:

• Professionals who wish to acquire knowledge in data analysis and apply it in their work.
• People interested in the field of data science and information analysis.
• Entrepreneurs and business people looking to understand the value of data and how they can apply it in their business.
• Students looking to gain skills in data analytics to enhance their employment opportunities.
• Anyone interested in learning about Big Data and how it can affect society at large.

OBJECTIVES

The curriculum of the Higher Education Course in Big Data aims to equip students with the following knowledge and skills:

• Understand the fundamental concepts of Big Data and its applications in the business world.
• Learn the techniques and tools necessary for processing and analyzing large volumes of data.
• Acquire skills for data-driven decision making and the identification of patterns in information.
• Become familiar with the technologies used in the Big Data field, including Hadoop, Spark, and NoSQL databases.
• Develop practical skills in data analysis and visualization using software such as R and Python.

EMPLOYMENT OPPORTUNITIES

ENEB is recognized by the most prestigious companies in different sectors. Its training, adapted to the current reality of the labor world, allows the student to perform perfectly in any company and to develop a promising professional career.

When you finish the Higher Education Course in Big Data, you will be able to register in our Job Bank in which ENEB has agreements with important business firms.

SYLLABUS

The Higher Education Course in Big Data is made up of the following syllabus:

TOPIC 1: INTRODUCTION TO BIG DATA

• 1.1. Why do we need big data?
• 1.2. Characteristics of big data
• 1.3. Technologies for big data

TOPIC 2: BIG DATA IN PROJECTS

• 2.1. Work team structure

TOPIC 3: AGILE METHODOLOGIES

• 3.1. Development Methodologies
• 3.2. The Scrum Framework
• 3.3. Project management software

TOPIC 4: ARTIFICIAL INTELLIGENCE

• 4.1. What is artificial intelligence?
• 4.2. Machine learning and deep learning
• 4.3. Available technologies and tools

TOPIC 5: USE CASES IN INDUSTRY

• 5.1. Use cases in medicine
• 5.2. Use cases in Civil Engineering
• 5.3. Use cases in the service sector

DISTANCE LEARNING 

METHODOLOGY

In order to balance personal and professional life, the Higher Education course is offered entirely online. This way, you can access all the educational content through our Virtual Campus, which will be your main platform for learning, allowing you to study from anywhere in the world at any time. All assessments and final projects are also conducted remotely.

Once enrolled, you will be able to access the Virtual Campus with all the academic resources you need, providing continuous communication with other students and professors. You will have access to discussion forums, be able to undertake executive training in English, and connect with all your classmates through the ENEB Campus, among many other possibilities.

EVALUATION

Consistency is a key element in your study plan. Through the self-assessments provided via the Virtual Campus, you will be able to consolidate the knowledge you have acquired.

In order to pass the Higher Education course, it is essential to submit a final project for the course. Once your team of tutors has evaluated you, you can see your grade on the Virtual Campus. Additionally, you will receive a detailed document via email explaining all the points of your case study.

In the evaluation, your tutors will assess the following aspects:

• Presentation of the exercise, design, visual richness, and spelling.
• Development of the work, complexity of the statement, logic, and coherence in the results obtained in the case study.
• Added value in the analysis and development of the proposed case.

It is important to remember that all self-assessments are voluntary and do not count towards the final grade for each subject.