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HomePython for Data ScienceData Handling and Formats

Data Handling and Formats

A course by
February, 2025 8 lessons English

Working with data starts with knowing how to access, store, and manage it effectively. In this module, we will explore how to load data from different sources like databases, CSV and Excel files, JSON, and web APIs while learning the best ways to store and organize it. Understanding different file formats helps ensure smooth workflows and compatibility across systems. Whether you’re a data scientist, analyst, or engineer, these skills are essential for working with data efficiently at every stage.

What you'll learn

  • Identify the distinction between structured and unstructured data.
  • Apply the syntax and behavior of loops in Python.
  • Explain how to read and write data in various file formats.
  • Evaluate the use of various data structures in Python and their suitability for specific tasks.
  • Utilize indexing and slicing for data handling in Python.

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