Introduction to Data Science with Python programming language
In recent years, Python - an open-source, general-purpose, and high-level programming language - has gained immense popularity in data science projects. It's simple and clean syntax, ease of learning, and extensive library ecosystem make it ideal for tasks related to data analysis and manipulation.
What will you learn?
Our course, "Introduction to Data Science with Python Programming Language," encapsulates nearly two decades of analytical expertise within the Python framework. This course is designed for beginners in both Python and data science, offering foundational skills and tools to tackle common business challenges efficiently.
Unlike many other courses, our program emphasizes practical problem-solving over exhaustive coverage of Python syntax. We focus on effectively applying Python to real-world data science issues.
Topics covered during the training:
Introduction and basic Python elements (Python introduction and demos, Basic data types and control structures)
Advanced data and control structures in Python
Mathematical/engineering perspective on structured data processing and visualization (using Numpy and Matplotlib)
Data handling from a data analyst's perspective (using Pandas)
Introduction to machine learning (basics of Regression, Classification, and Segmentation)
Prerequisites for attending the course:
Participants should have basic computer literacy, as well as foundational knowledge of mathematics, statistics, and business experience.
Teaching methodology:
Our training is structured to ensure rapid and in-depth acquisition of both theoretical and practical knowledge, featuring:
Theoretical instruction
Tests to evaluate comprehension of theoretical concepts
Code examples with thorough explanations
Programming tasks, exercises, and solutions to real-world business problems
Training Details:
Dates:
3, 17, 31 October, & 14 November 2025 (10:00 - 13:15 EET)
Duration:
12 hours
Format:
Live online
Language:
English
Price:
EUR 490 (excl. VAT)
