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Module 1
Python and Data Science Foundations
1
Python Data Structures
Use Python data structures: lists, dictionaries, tuples, and sets
2
Python Functions: Control Flow, Loops, and Comprehensions
Write Python functions using control flow, loops, and list comprehensions
3
NumPy Array Fundamentals
Create 1D and 2D NumPy arrays and inspect their attributes (shape, size, dtype)
4
Array Manipulation: Indexing, Slicing, and Reshaping
Perform array manipulation including indexing, slicing, and reshaping
5
NumPy Array Operations
Apply mathematical operations (element-wise arithmetic, sum, mean) on NumPy arrays
Loading, Selecting, and Filtering Data in Pandas
Load datasets into Pandas DataFrames and perform data selection and filtering
Cleaning Data with Pandas: Missing Values and Duplicates
Handle common data quality issues such as missing values and duplicates using Pandas
8
Exploratory Data Visualization with Matplotlib and Seaborn
Create exploratory data visualizations using Matplotlib and Seaborn
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