935 476 066
680 582 321Data Science Course: Algorithms and Automation
Learn Python, AI, and much more
Data Science Course: Algorithms and Automation Details
Start: 20/10/2026
Duration: 4 days
Modality On-Site: 3 sessions from 6 pm to 8 pm. (or Streaming)
Campus: Terrassa
Language: Spanish
We are living through a time of transformation in which data, automation, and artificial intelligence are reshaping the way we work in areas such as marketing, business strategy, and decision-making.
This course provides a practical and accessible overview of how these technologies can be realistically applied to improve processes, identify opportunities, and deliver value from day one.
Euncet Business School's own degree.
Academic Information
Data Science Course: Algorithms and Automation
CAMPUS:
Campus Terrassa
SPOTS:
20
DATE:
Tuesdays and Thursdays: 20/10, 22/10, 27/10, and 29/10.
PRICE:
420 €. Check price for workers of companies with an agreement. Special price for workers of companies with an agreement or Alumni (320 €)
Data Science Course: Algorithms and Automation Format
4 DAYS
Tuesdays and Thursdays: 20/10, 22/10, 27/10, and 29/10.
12 HOURS
The training, lasting 12 hours, will be carried out in person at the Terrassa Campus.
2 WEEKS
It is distributed in 4 theoretical-practical sessions of 3 hours each, in the afternoons from 6 pm to 9 pm.
THEORETICAL-PRACTICAL TRAINING
Dynamic classes, practical examples and development of a real case of application of algorithms and automation in a professional environment.
CERTIFICATE OF PARTICIPATION
To obtain the certificate of participation in the training course, it is an essential requirement to have attended at least 75% of the scheduled sessions.
Modules of the Data Science Course: Algorithms and Automation
Module 1: Data, Algorithms and Business Opportunities
- What is data science and why it matters in the business environment
- Structured vs unstructured data, quality and readiness
- Types of algorithms and real use cases in marketing and business
Module 2: Getting Started with Python for Data Analysis
- Python Language Fundamentals for Business Use
- Data cleansing, analysis, and visualization
- Automating repetitive tasks with basic scripts
Module 3: Practical Introduction to Artificial Intelligence
- What is and what is not artificial intelligence
- Simple predictive models applied to business (classification, segmentation)
- Generative AI and Other Trends: Current Opportunities and Limits
Module 4: Final Project and Strategic Vision
- Designing an AI or automation application case study
- Identification of processes that can be improved with data
- Ethical, organisational and strategic factors to take into account
Teaching Team
Data Science, Algorithms and Automation Course
Objectives of the Data Science Course: Algorithms and Automation
This course aims to equip participants with the key competences to:
- Understand the fundamental concepts of data science, artificial intelligence, and automation.
- Learn about the most widely used types of algorithms in business environments.
- Gain practical experience in working with data and processes using Python.
- Identify real-world opportunities to apply these technologies in business and marketing processes.
- Develop a critical and strategic perspective on the use of these technologies.
What will you find in our Data Science Course: Algorithms and Automation?
A clear introduction, free from unnecessary technical jargon, to the fundamentals that every business professional should know about data science, algorithms, automation, and tools such as Python. Through practical examples and real-world case studies, the course enables participants to understand and experience how these technologies work and how they can be applied to real projects.
REAL BUSINESS CASES
Explore how data science and artificial intelligence are applied in real-world environments, such as marketing, strategy, or business development. You will analyse specific examples and discover opportunities for improvement directly applicable to your professional day-to-day.
INTRODUCTION TO GENERATIVE AI
Discover generative AI, its current uses in business, its limits, and its potential for impact. You'll learn how this emerging technology can transform processes, content, and data analytics strategically.
APPLIED APPROACH
This hands-on automation and data analysis course is based on learning by doing. All sessions include dynamics, guided exercises and real tools so that you can apply what you have learned from the first moment.
STRATEGIC VISION
Develop a critical and strategic look at the use of data and algorithms. You will learn how to make evidence-based decisions, identify automatable processes, and generate value propositions supported by technology.
AUTOMATION FROM SCRATCH WITH PYTHON
Acquire a solid foundation in Python applied to business. You will learn how to read, cleanse, and visualize data, as well as automate repetitive tasks with simple scripts, without the need for prior programming experience.
REAL IMPACT
You will finish the course with a practical project focused on solving a real challenge in your professional environment, applying the knowledge acquired in AI, automation and data analysis to generate tangible results.
Other Euncet Courses
Frequently Asked Questions
Data Science Course: Algorithms and Automation
Professionals working in marketing, strategy, business intelligence, consulting, or business development who want to build a foundation in data science and artificial intelligence, with no prior programming experience required.
No. The course approach is introductory and 100% hands-on, so you don't need any previous experience in programming or data science. Throughout the sessions, you will work with Python from scratch, in a guided way and adapted to non-technical profiles. You will learn just what you need to apply it effectively in your professional environment.
During the course you will work with Python, one of the most demanded tools on the market for its versatility and use in data analysis, automation and development of AI models. You will also learn key concepts of machine learning, data visualization, report automation, and new trends such as generative artificial intelligence.
The course will allow you to acquire key competencies to perform such as:
- Data or Product Analyst
- BI (Business Intelligence) Specialist
- Digital Transformation or Automation Consultant
- Data-Driven Marketing Expert
- Project Manager with a technological focus
- Head of Automation or AI in business departments
Attendance at all three sessions is highly recommended due to the practical and intensive nature of the course. If you are unable to attend, you may request the class materials and, if possible, individual support to keep up with the group. To receive the course participation certificate, it is mandatory to attend at least 75% of the scheduled sessions.
Joan Otero
Executive Education and Corporate Training Advisor
