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Data Analysis School Module 2: Comprehensive Python for Data Analysis course notes covering Python basics, NumPy, Pandas, Matplotlib and Seaborn. 5 structured Jupyter Notebook lessons for learning data analysis.
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Instructor: M. Fuat KINA (Koç University)
This is the organized version of the course notes from Module 2 of the Data Analysis School, covering "Data Analysis with Python".
| Lesson | Topic | Description |
|---|---|---|
| Lesson01.ipynb | Introduction to Python | Basic concepts: print, variables, lists, strings, indexing and slicing |
| Lesson02.ipynb | Python Structures | Dictionaries, sets, tuples, operators, comparison and logical expressions, if-else control structures, for/while loops, functions |
| Lesson03.ipynb | NumPy and Matplotlib | NumPy arrays, array operations, data visualization with Matplotlib |
| Lesson04.ipynb | Pandas Basics | Pandas Series, DataFrame, data selection, operations and missing data handling |
| Lesson05.ipynb | Advanced Pandas | Hierarchical Indexing, MultiIndex, data concatenation (concat, merge/join), grouping (groupby) |
These course notes are for educational purposes.
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