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Introduction to Data Science (DS 215)
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Module 1
The Data Scientist's Python Toolkit
1
NumPy for N-Dimensional Array Operations
Manipulate N-dimensional arrays for mathematical operations using NumPy.
2
Data Wrangling with Pandas DataFrames
Perform data loading, cleaning, and transformation on tabular data using Pandas DataFrames.
3
Static Visualizations with Matplotlib
Create static visualizations like histograms, scatter plots, and line charts using Matplotlib.
4
The Scikit-learn API: `fit`, `predict`, and `transform`
Outline the unified Scikit-learn API: `fit`, `predict`, and `transform` methods.
5
Titanic Data Preparation: A Project-Based Approach
Project: Load, inspect, clean, and visualize a real-world dataset (e.g., Titanic) to prepare it for modeling.
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Probability Models for Data