The Complete Beginner’S Guide To Coding With Python

Master beginner-friendly Python programming, data handling with Pandas, visualization with Matplotlib, and API

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.

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 LoopsConditionals and FunctionsYou’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.

Overview

Section 1: Introduction to Python

Lecture 1 Introduction to the Course

Lecture 2 Overview of Python

Lecture 3 Variables and Data Types + Codes

Lecture 4 Understanding Conditional Statements + Codes

Lecture 5 Implementing Conditional Statements

Lecture 6 Functions in Python

Lecture 7 Functions in Python - Part 2

Section 2: Loops and Functions in Python

Lecture 8 Understanding Looping Constructs

Lecture 9 Looping Constructs

Lecture 10 Modules and Packages in Python

Lecture 11 Hands on: Python Best Practices

Section 3: Exploring Python Libraries

Lecture 12 The Basics of NumPy

Lecture 13 Hands-on: The Basics of NumPy

Lecture 14 Arithmetic Universal Functions in NumPy

Section 4: Data Visualization with Matplotlib and Pandas

Lecture 15 The Basics of Matplotlib: Types of Plots

Lecture 16 The Basics of Matplotlib: Customizing Plots

Lecture 17 The Basics of Pandas: Understanding the Dataset

Lecture 18 Handling Missing Values and Modifying the Dataset

Section 5: Working with APIs

Lecture 19 Working with APIs

Lecture 20 Accessing APIs using Python

Lecture 21 API Best Practices

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.