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Free Tutorial – Python Bootcamp for Data Analysis #1: Data Structures

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Description

Step into Miuul’s Python Bootcamp for Data Analysis, a beginner-friendly course tailored to transform newcomers into adept programmers. Embark on your programming journey by mastering the setup of your coding environment and crafting your initial Python scripts. This course unfolds Python’s immense potential through engaging lessons that cover the fundamental syntax and explore the world of Python’s data structures.

Miuul’s Python Bootcamp is designed not just to teach but to inspire creativity and innovation in coding. Each module in this series is constructed with a hands-on approach, allowing you to directly apply what you learn in real-world scenarios. In this first section of the Python Playground, you’ll explore various data types and learn how to manage data collections with lists, dictionaries, tuples, and sets.

Moreover, as you progress, you’ll tackle more complex concepts and techniques, preparing you for advanced topics in future courses. This playground is your gateway to becoming a proficient Python programmer, equipped with the knowledge to tackle data analysis challenges and beyond.

Join us at Miuul’s Python Bootcamp for Data Analysis, where learning to code becomes an adventure, empowering you to write, analyze, and innovate. Here, every line of code you write brings you one step closer to mastering the art of Python programming.

Who this course is for:

  • Individuals who have no prior experience with programming and are looking to start their journey with Python
  • Those interested in entering the field of data analysis and want to build a strong foundation in Python
  • Professionals aiming to transition into tech roles
  • Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.

Course content

  • Introduction5 lectures • 36min
  • Introduction
  • Data Structures8 lectures • 1hr 6min
  • Data Structures

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