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Introduction to Fundamentals

Welcome to the Fundamentals section. This is your starting point to build a solid foundation in data science. Explore the subcategories below to begin your learning journey.

  • Statistics and Probability: Learn the essential statistical concepts and probability theories.
  • Linear Algebra: Understand the mathematical foundations necessary for data science.
  • Python Programming: Get started with Python, the most popular programming language for data science.
  • Data Science: Dive into practical tools and libraries crucial for data science work.
    • Data Visualization: Discover how to effectively visualize data using various tools and techniques, with subcategories for specific libraries.
    • NumPy: Learn about NumPy, the fundamental package for numerical computing in Python.
    • Pandas: Get hands-on with pandas, the go-to library for data manipulation and analysis.
    • Matplotlib: Master Matplotlib, the essential plotting library for creating static, animated, and interactive visualizations in Python.
    • Seaborn: Explore Seaborn, a powerful data visualization library built on top of Matplotlib, known for its easy-to-use high-level interface.