Course Overview

This comprehensive course covers core Python fundamentals, object-oriented programming, working with libraries, building web APIs, automating tasks, and introductory data science workflows. Each module includes hands-on labs, downloadable code samples, quizzes, and a final capstone project that demonstrates the practical skills employers look for.

Who Should Enroll

• Absolute beginners with no prior programming experience.
• Developers moving from other languages (Java, C, JavaScript) to Python.
• Aspiring data analysts, automation engineers, and backend developers.
• Students and professionals preparing for technical interviews or portfolio projects.

What You’ll Learn

• Python syntax, data types, control flow, and error handling.
• Modular code design and object-oriented programming (classes, inheritance).
• Working with files, CSV/JSON data, and web APIs.
• Essential libraries: requests, BeautifulSoup, pandas, NumPy, Flask (intro).
• Writing scripts to automate repetitive tasks and system administration chores.
• Building and deploying a small web service or data-processing pipeline as a capstone.

Course Curriculum (Modules)

1. Module 1: Python Basics — variables, expressions, data types, I/O.
2. Module 2: Control Structures & Functions — loops, conditionals, functions, error handling.
3. Module 3: Data Structures — lists, tuples, sets, dictionaries, comprehensions.
4. Module 4: Object-Oriented Python — classes, objects, methods, inheritance, dunder methods.
5. Module 5: Working with Files & Data — CSV, JSON, regular expressions.
6. Module 6: Web Interaction & APIs — requests, REST basics, parsing HTML.
7. Module 7: Intro to Data Libraries — NumPy and pandas basics for data manipulation.
8. Module 8: Web Apps & Automation — Flask basics, scripting for automation.
9. Module 9: Testing, Debugging & Packaging — unit tests, debugging tools, virtual environments.
10. Module 10: Capstone Project — plan, build, and present a real-world Python project.

Teaching Methodology

The course blends short video lessons, interactive coding exercises, downloadable notebooks, and real-world projects. Each lesson contains an example-driven explanation followed by a practice task and a short quiz to reinforce learning.

Prerequisites

No previous programming experience is required. Students should have a modern computer and willingness to install Python (instructions included). Basic comfort with using a text editor and web browser is helpful.

Assessment & Certificate

Assessments include module quizzes, graded coding exercises, and a capstone project review. On successful completion you will receive a certificate of completion you can add to your resume or LinkedIn profile.

Outcomes & Career Paths

Graduates will be prepared for roles such as Junior Python Developer, Automation Engineer, Data Analyst (entry-level), Backend Developer (assistant), or continue onto more advanced Python specializations (web, data science, machine learning).

Frequently Asked Questions

How long does the course take?

Self-paced — typically 6–12 weeks depending on time invested per week.

Are there hands-on projects?

Yes — multiple mini-projects and a final capstone.

Will I get source code?

All code samples and lab exercises are downloadable.

Explore These Valuable Resources.

• Official Python Documentation (python.org)
• Real Python — Tutorials & Guides
• W3Schools — Python Tutorial

Explore Related Courses

• Explore Related Courses,
• Explore Related Courses,
• Explore Related Courses,
• Explore Related Courses,
• Explore Related Courses,