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The Complete Beginner’s Guide to Coding with Python
1 students

The Complete Beginner’s Guide to Coding with Python

Master beginner-friendly Python programming, data handling with Pandas, visualization with Matplotlib, and API
Created byAnalytics Vidhya
Last updated 9/2025
English

What you'll learn

  • Develop a strong foundation in Python programming with variables, data types, conditionals, loops, and functions.
  • Apply best practices in coding to write structured, efficient, and reusable programs.
  • Work with essential Python libraries like NumPy and Pandas to analyze and manipulate data.
  • Build engaging data visualizations using Matplotlib and Pandas to uncover trends and insights.
  • Understand how to integrate APIs with Python to connect your code with real-world applications.
  • Gain exposure to modern coding workflows, including data handling, automation, and problem-solving techniques.
  • Strengthen your skills with hands-on projects and coding exercises, designed to bridge theory with practice.
  • Prepare yourself for the next step in your journey toward data science, AI, or full-stack development.

Course content

5 sections • 21 lectures • 4h 12m total length

  • Introduction to the Course1:28
  • Overview of Python13:49
  • Variables and Data Types + Codes19:18
  • Understanding Conditional Statements + Codes4:43
  • Implementing Conditional Statements8:56
  • Functions in Python14:53
  • Functions in Python - Part 214:53

Requirements

  • The only prerequisite is the will to learn.

Description

Are you ready to start your coding journey?

The Complete Beginner’s Guide to Coding with Python course is designed for anyone who wants to learn programming from scratch and build skills that are practical, future-ready, and industry-relevant. In this course, you’ll dive into Python programming, the most popular language for beginners, data science, and AI.

Step by step, you’ll learn the fundamentals:

  • Variables

  • Loops

  • Conditionals and

  • Functions

You’ll then move beyond the basics to explore powerful Python libraries like NumPy and Pandas for data analysis, and Matplotlib for creating stunning data visualizations. You will master essential data manipulation techniques and discover how to effectively communicate insights through visual storytelling.

You’ll also discover how to connect your code with the real world through APIs, giving you a taste of modern coding workflows. With hands-on exercises, mini-projects, and practical examples, this course ensures that you not only understand coding concepts but can also apply them confidently. You will get to build small, complete projects from scratch, giving you a portfolio of work that demonstrates your practical skills to future employers.

By the end of the course, you’ll have the foundation to pursue data science, AI, automation, or advanced programming. Whether you’re a student, professional, or complete beginner, this course will set you on the path to becoming a confident coder.

Who this course is for:

  • Anyone who wants to learn programming from scratch.
  • Students or professionals looking to build practical, industry-relevant skills.
  • Beginners interested in a foundation for data science, AI, or advanced programming.

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