Dive into Python: Master Variables and Data Types for Data Science

Join our Free Udemy Course on Python! Learn about Variables and Data Types and kickstart your programming journey!

Welcome to the course Python Development & Data Science: Variables and Data Types, a module from the Professional Diploma in Python Development. This course is offered by the MTF Institute of Management, Technology, and Finance, a leading global educational institution headquartered in Lisbon, Portugal. The course is designed to introduce you to the fundamentals of Python programming, specifically focusing on variables and data types, which are essential building blocks for any aspiring developer or data scientist.

In this course, you will uncover the versatility of Python, a language renowned for its readability and simplicity, making it a great choice for beginners. We’ll guide you through various data types used in Python, including numeric types, strings, and Booleans. You will learn how to utilize the input() function and work with constants effectively, setting a strong groundwork for your journey into programming.

As you engage with the content, you’ll discover why Python is a preferred choice for companies looking to enhance productivity and innovation. With a vast community and a rich ecosystem of libraries, Python opens various career paths, from web development to data analysis. Our seasoned instructor, Stanisław Marek Halkiewicz, brings years of teaching and professional experience, ensuring you receive high-quality education that prepares you for real-world applications.

What you will learn:

  • Python Development
  • Variables and Data Types
  • An overview of different data types
  • Numeric Data Types
  • Boolean Data
  • input() function
  • String as a data type
  • Constants

Course Content:

  • Sections: 3
  • Lectures: 12
  • Duration: 1h 28m

Requirements:

  • Use a laptop or mobile device for the best learning experience.
  • Keep pen and paper handy to take notes and summarize key points.

Who is it for?

  • Beginners new to programming looking to learn Python.
  • Individuals seeking to enhance their programming skills for career opportunities.

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