Welcome to "Basics of Numpy and Pandas with Titanic Dataset"! This course will introduce you to the foundational tools required for data manipulation and analysis in Python using two essential libraries: Numpy and Pandas.

Numpy and Pandas are indispensable in the realm of data science, enabling efficient data handling and management. You'll discover the power of these libraries through hands-on practice with real-world datasets.

• Numpy Arrays: Learn how to create, manipulate, and perform operations on Numpy arrays for numerical computations.
• Pandas DataFrames: Understand how to create, manipulate, and analyze data using DataFrames.
• Data Analysis: Explore various data operations including indexing, slicing, reshaping, and performing descriptive statistics.
• Real-world Application: Apply your newly-gained skills on the Titanic dataset, a historical dataset that provides meaningful insight into data manipulation.

What sets this course apart? It's Cosmo, your AI tutor and guide, who will assist you throughout your learning journey. Moreover, our platform emphasizes hands-on practice to turn knowledge into tangible skills.

In each lesson, you will have the opportunity to try out the code you're learning by clicking the ▶️ button.

Python
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1# Python Numpy Array Example
2import numpy as np
3
4np_array = np.array([1, 2, 3, 4, 5])
5print(np_array)  # Outputs: [1 2 3 4 5]

After each lesson, you will tackle practice exercises to reinforce your understanding and gain practical experience.

Ready to dive in? Let's get started!