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