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LO-1
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Explains and applies the basic syntax and programming structures (variables, conditions, loops, functions) of the Python language. |
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LO-2
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Effectively uses basic data types and data structures (list, tuple, dictionary, set) in Python. |
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LO-3
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Applies Python correctly in file reading/writing, CSV operations, and data retrieval/storage processes. |
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LO-4
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Develops solutions to problems using basic algorithmic logic (sorting, searching, iteration, decision structures). |
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LO-5
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Performs data preparation processes (cleaning, transforming, filtering) using Python. |
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LO-6
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Performs basic data analysis operations using Python libraries (NumPy, pandas, etc.).\n |
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LO-7
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Performs basic statistical calculations to interpret data. |
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LO-8
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Applies analytical and algorithmic thinking skills when writing code. |
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LO-9
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Performs basic data preprocessing, analysis, and reporting steps on a real-world dataset. |
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LO-10
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Uses debugging and refactoring techniques. |
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LO-11
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Understands the programming logic required for big data analytics and develops the ability to work with data. |
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LO-12
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Writes more readable and modular code using a basic functional programming approach. |
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LO-13
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Demonstrates the ability to select the correct data structure and algorithm when solving data-driven problems. |
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LO-14
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Can interpret and explain the analysis results prepared with Python. |
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LO-15
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Works in accordance with documentation, code order, and best practice principles in programming processes. |
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