Akademik Dersler - İçerik

Explains and applies the basic syntax and programming structures (variables, conditions, loops, functions) of the Python language.
Effectively uses basic data types and data structures (list, tuple, dictionary, set) in Python.
Applies Python correctly in file reading/writing, CSV operations, and data retrieval/storage processes.
Develops solutions to problems using basic algorithmic logic (sorting, searching, iteration, decision structures).
Performs data preparation processes (cleaning, transforming, filtering) using Python.
Performs basic data analysis operations using Python libraries (NumPy, pandas, etc.).
Performs basic statistical calculations to interpret data.
Applies analytical and algorithmic thinking skills when writing code.
Performs basic data preprocessing, analysis, and reporting steps on a real-world dataset.
Uses debugging and refactoring techniques.
Understands the programming logic required for big data analytics and develops the ability to work with data.
Writes more readable and modular code using a basic functional programming approach.
Demonstrates the ability to select the correct data structure and algorithm when solving data-driven problems.
Can interpret and explain the analysis results prepared with Python.
Works in accordance with documentation, code order, and best practice principles in programming processes.