| 1. Introduction |
What is programming, data, and AI |
25.01.2026 |
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How Python is used in real projects |
25.01.2026 |
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Learning tools (Jupyter Notebook, Git basics) |
25.01.2026 |
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| 2. Python Fundamentals |
Variables, data types |
25.01, 08.02, 22.02 |
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Conditions and loops |
08.02, 08.02, 22.02 |
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Functions and basic debugging |
22.02 |
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Working with notebooks |
08.02.2026 |
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| 3. Working with Data |
Data structures (lists, dictionaries, pandas) |
22.02 |
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Reading and cleaning data |
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Exploratory data analysis |
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| 4. Data Visualization |
Visual thinking |
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Charts and plots (matplotlib / seaborn) |
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Interpreting results |
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| 5. Algorithms & Logic |
Basic algorithms |
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Problem-solving approaches |
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Efficiency and clarity in code |
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| 6. Introduction to Machine Learning |
What ML really is (without hype) |
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Supervised vs unsupervised learning |
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Simple models and practical examples |
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| 7. Text, Images & AI Applications |
Working with text data |
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Intro to image processing |
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Simple AI / LLM-based projects |
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