Course in
PYTHON FOUNDATIONS
Area
Tecnología/Digital/Innovación/Data Science
Modality
Virtual Live
Duration
Start date
Python has established itself as one of the most versatile and popular programming languages in the world of development, data science and artificial intelligence. Its simple syntax and large community of developers make it a key tool for automating processes, analysing data and building advanced machine learning models.
This course provides a solid foundation in Python, focusing on its application in data analytics and artificial intelligence. Through a practical approach, participants will learn from the basic concepts of the language to the use of essential libraries for data manipulation and task automation.
Discover the key modules and concepts
01
Introduction to Python and Data Structures
- Language fundamentals: syntax, variables and operators.
- Data types and key structures: lists, tuples, dictionaries and sets.
- Flow control: conditionals and loops.
02
Functions, Object-Oriented Programming and File Handling
- Definition and use of functions in Python.
- Introduction to Object Oriented Programming (OOP).
- Reading and writing files for data manipulation.
03
Essential Libraries for Data Science and AI
- Introduction to NumPy and Pandas for data analysis and manipulation.
- Use of Matplotlib and Seaborn for data visualisation.
- Basic principles of machine learning with Scikit-learn.
04
Python Automation and Applications in Business
- Web scraping and task automation with Python.
- Script development for analysis and decision making.
- Implementation of practical projects with real data.
Área
Tecnología/Digital/Innovación/Data Science
Edition
Modality
Virtual Live
Start date
Start the
admission process
admission process
Objectives
- Acquire solid knowledge of Python syntax and data structures.
- Develop skills for programming automated and efficient solutions.
- Learn to manage and analyse data with the most widely used libraries in the industry.
- Be introduced to the application of Python in data science and artificial intelligence.
- Apply the knowledge acquired in practical projects with real data.
If you prefer, you can contact our advisor Arantxa García.
You can do this by calling +34 968456793
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