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Introduction to Python (Data Science)

What learn

  • Installation of Python
  • Python Syntax
  • Python Operators
  • Python Variables
  • Python Strings
  • Python Lists
  • Python Tuples
  • Python Maps
  • Python Conditions
  • Python Loops
  • Python Functions
  • Python Classes
  • Python Final Project

Requirements

  • A Laptop/PC/Mobile with an Internet connection and sufficient storage.

Description

The "Introduction to Python" course covers a comprehensive range of topics, starting with the installation process across different operating systems, ensuring students can begin their coding journey seamlessly.


It delves into Python's syntax, known for its clarity and readability, and explores the various operators that facilitate data manipulation. The course covers fundamental concepts such as variables, strings, lists, tuples, and maps (dictionaries), highlighting their usage, characteristics, and methods for efficient data handling. It also emphasizes control flow with conditions and loops, allowing for dynamic decision-making and repetitive task automation. Additionally, the course introduces functions and classes, providing a solid foundation in modular and object-oriented programming. By the end, students are encouraged to apply their knowledge through practical projects, leveraging Python's versatility in areas like web development, data analysis, machine learning, and more.

In summary, the "Introduction to Python" course offers a robust foundation in Python programming, covering key concepts from syntax and variables to functions and classes. Through practical projects and real-world applications, students will develop essential skills and confidence to tackle diverse programming challenges and unlock new opportunities in technology and beyond.

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