Online Course – Certified Professional Specialization in Big Data – Introduction to the Practical Use of Massive Data from Universitat Autònoma de Barcelona

Improve your professional profile. BIG DATA: One of the disciplines with the highest demand for qualified professionals.

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קורס אונליין - התמחות מקצועית מוסמכת בנתונים גדולים – מבוא לשימוש מעשי בנתונים מסיביים של Universitat Autònoma de Barcelona

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understand the impact of big data processing on modern society.
  • Understand and explain the source and nature of big data.
  • Acquire, prepare, store, analyze, view, and manage large data sets.
  • Extract information from data.
  • Work in a Hadoop environment.
  • Answer a question accurately based on the available information.

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Information Systems Developer
  • Big Data Analyst
  • Cosmology expert
  • Astronomy researcher
  • Data Project Manager
  • Information Technology Consultant
  • Big Data Solutions Developer

Internship – 5-course course series

This program is designed to introduce you to the world of big data and how to handle it. The first course aims to introduce the student to the impact of big data on modern society, both in business and in politics and government, in the media and in scientific research.

During courses 2, 3 and 4 we will learn how to identify, capture, process, analyze and visualize data, from a “user” perspective, with a practical orientation. Finally, the culminating project allows the student to apply the acquired knowledge to a practical case in the field of astronomy.

Upon completion of the courses of this specialization, the student will be able to:

  • Understand the impact of big data processing on modern society.
  • Understand and explain the source and nature of big data.
  • Acquire, prepare, store, analyze, view, and manage large data sets.
  • Extract information from data.
  • Work in a Hadoop environment.
  • Answer a question accurately based on the available information.

We have an excellent team of lecturers, with extensive experience in the subject, both from academia and industry.

Technical requirements

You will need a computer with a 64-bit operating system that supports maintenance, with at least 6 GB of memory (8 GB recommended) and 20 GB of free disk space.

Hands-on Learning Project

The student will face the challenge of working with big data from the field of cosmology, with the aim of successfully sorting galaxies based on their shape. From a set of images of galaxies obtained with advanced telescopes in the Sloan Digital Sky Survey (SDSS) project, the student, under guidance, will develop a method for systematically sorting galaxies and present a report to an imaginary group of scientists.

The lecturers in this course are collaborating with the European Space Agency (ESA) on the Euclid mission (a space telescope to map the geometry of the universe).

Details of the courses that make up the specialization

Big Data: The impact of big data on society today

Course 1
7 hours
4.7 (2,172 ratings)

What will you learn?

  • We will understand what Big Data is and what its basic features are.
  • We will explore the ongoing growth of data and its impact in various fields.
  • We will learn about the stages of big data processing and the appropriate language for describing the processes.
  • We will understand the main areas where big data is applied and the challenges it poses.
  • We will study the technologies and infrastructures for storing and processing data.

Big Data: Data acquisition and storage

Course 2
10 hours
4.4 (623 ratings)

What will you learn?

  • Principles, terms, and important tools for solving data analysis problems.
  • Introduction to tools like Hadoop, Spark, and Hive.
  • Solving various data analysis challenges.
  • Understanding the ecosystem of big data tools.

Big Data: Processing and Analysis

Course 3
12 hours
4.2 (259 ratings)

What will you learn?

  • Basic methods and techniques for processing and analyzing data.
  • Working with a virtual machine and Jupyter application.
  • Different modules focusing on different analysis techniques.

Big Data: Data Visualization

Course 4
8 hours
4.5 (235 ratings)

What will you learn?

  • Key concepts in the field of data visualization.
  • Tools for data analysis and visualization.
  • The process of creating data visualization.

Big Data: Final Project

Course 5
12 hours
4.7 (55 ratings)

What will you learn?

  • Applying tools and methods in a practical project.
  • Creating a classifier for galaxy images using data from the GalaxyZoo project.
  • Data exploration and analysis for the development of an automated machine learning tool.

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