Python Programming: From Zero to Hero

50 hours of content All Levels 4,200+ students 4.9/5 (420 reviews)

$159.99 $299.99 47% off

30-Day Money-Back Guarantee

Course Overview

Python Programming: From Zero to Hero is your complete guide to mastering Python, one of the world's most popular and versatile programming languages. This comprehensive course takes you from absolute beginner to advanced programmer through hands-on projects and real-world applications in data science, web development, automation, and more.

What You'll Learn

Python syntax, data types, and programming fundamentals
Object-oriented programming with Python
Advanced Python features: generators, decorators, context managers
Working with files, directories, and data processing
Web scraping and automating repetitive tasks
Database integration with SQL and NoSQL databases
Data analysis with NumPy, Pandas, and Matplotlib
Introduction to machine learning with scikit-learn
Web development with Flask/Django
Testing, debugging, and optimizing Python code

Prerequisites

No programming experience required! This course is designed to take absolute beginners to advanced Python developers. Basic computer skills and a willingness to learn are all you need to get started.

Who This Course is For

Complete beginners with no programming experience
Students and professionals looking to add Python to their skill set
Data analysts wanting to automate their workflows
Developers from other languages transitioning to Python
Anyone interested in data science, machine learning, or automation

Course Curriculum

Section 1: Python Foundations

Introduction to Python and Its Applications
Setting Up Your Python Environment
Python Syntax and Basic Concepts
Variables, Data Types, and Operators
Input/Output Operations
Project: Interactive Calculator

Section 2: Control Flow and Functions

Conditional Statements (if, elif, else)
Loops (for, while) and Iteration
List Comprehensions
Function Definition and Parameters
Return Values and Scope
Lambda Functions
Project: Number Guessing Game

Section 3: Data Structures

Lists and List Operations
Dictionaries and Sets
Tuples and Their Applications
Advanced List Methods
String Manipulation and Methods
Project: Contact Management System

Section 4: Object-Oriented Programming

Introduction to OOP Concepts
Classes and Objects
Inheritance and Polymorphism
Encapsulation and Abstraction
Magic Methods and Operator Overloading
Project: Banking System Simulation

Section 5: File Operations and Error Handling

Working with Files (Read/Write)
File Types (Text, Binary, CSV, JSON)
Exception Handling
Custom Exceptions
Context Managers
Project: Log Analyzer

Section 6: Advanced Python Features

Generators and Iterators
Decorators and Their Applications
Modules and Packages
Regular Expressions
Functional Programming Concepts
Project: Custom Python Library

Section 7: Data Science with Python

Introduction to NumPy
Data Analysis with Pandas
Data Visualization with Matplotlib
Statistical Analysis
Introduction to Machine Learning with scikit-learn
Project: Data Analysis Dashboard

Section 8: Web Development and Automation

Web Scraping with Beautiful Soup
Automating Tasks with Python
Introduction to Flask Framework
RESTful API Development
Database Integration
Final Project: Web Application with Python

Meet Your Instructor

Emily Chen

Data Scientist & Python Expert

20,000+ Students 4.9 Instructor Rating 10 Courses

Emily is a renowned data scientist and Python expert with a background in machine learning and artificial intelligence. She holds a Ph.D. in Computer Science from MIT and has worked with major tech companies including Google AI and Microsoft Research. Emily has published several research papers on machine learning applications and is known for her ability to make complex programming concepts accessible to beginners. Her teaching philosophy centers on practical applications and hands-on projects that reinforce learning.

Student Reviews

4.9

Based on 420 reviews

5 stars

85%

4 stars

12%

3 stars

2 stars

1 star

Thomas N.

Posted on July 18, 2023

I started this course with zero programming knowledge, and now I'm building data science projects and automating tasks at work. Emily's teaching style is exceptional - she breaks down complex concepts into digestible pieces and provides real-world examples that make learning fun. The sections on data analysis with Pandas and the machine learning introduction were particularly valuable for my career transition.

Priya S.

Posted on June 30, 2023

This is hands down the best Python course available online. I've tried several others before, but none were as comprehensive or well-structured as this one. The course progresses logically from basic to advanced topics, and the projects reinforce what you learn. Emily is an outstanding instructor who clearly explains everything and anticipates common stumbling points. Thanks to this course, I landed a job as a junior data analyst!

Mark J.

Posted on May 12, 2023

As someone with experience in other programming languages, I found this course incredibly valuable for transitioning to Python. Emily covers not just the basics but also dives deep into Python's unique features and ecosystem. The sections on OOP, advanced Python features, and the data science modules were particularly useful for my work. The course is well-paced and the exercises help solidify your understanding.