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Python Programming

Python Certification – From Basics to Practical Applications

Learn Python from the ground up, master core programming concepts, work with data using popular libraries, and prepare for Python certification exams and real‑world roles.

Covers core Python, OOP, files, modules & virtual envs Hands‑on projects using NumPy, Pandas & APIs Certification‑aligned practice tests & interview prep

About This Course

This course gives you a solid foundation in Python programming. You’ll begin with syntax, data types and control flow, move into functions and object‑oriented programming, and then explore modules, packages and error handling.

You’ll also work with files, CSV/JSON data, virtual environments and popular libraries like NumPy and Pandas. The syllabus is aligned with common Python certification exams and technical interview expectations.

Syllabus Covered

Module 1 Python Basics & Core Syntax
  • Installing Python, IDEs & virtual environments
  • Variables, data types, operators & input/output
  • Control flow: if/else, loops & comprehensions
  • Built‑in functions & standard library overview
  • Basic scripts & command‑line programs
Module 2 Functions, OOP & Modules
  • Defining functions, arguments & return values
  • Scopes, lambda functions & decorators (intro)
  • Classes, objects, inheritance & polymorphism
  • Creating and importing modules & packages
  • Exception handling with try/except/finally
Module 3 Working with Data & Files
  • File I/O: reading & writing text/CSV/JSON
  • Using virtual environments & pip requirements
  • Data analysis with NumPy & Pandas
  • Calling REST APIs & handling JSON responses
  • Mini projects: log parser, API client, data cleaner
Module 4 Testing, Best Practices & Certification Prep
  • Unit testing with unittest / pytest
  • Debugging, logging & error handling patterns
  • Code style (PEP 8), type hints & documentation
  • Exam‑style questions & timed practice tests
  • Capstone: small end‑to‑end Python application

Top Companies Hiring Python Developers

Python powers web apps, data pipelines, ML systems and automation across modern companies.

Google
Microsoft
AWS
IBM
Meta
Netflix
Infosys
Accenture

What You Will Achieve in This Python Certification Program

Develop strong programming fundamentals and hands‑on skills used across Python jobs.

🧠

Solid Programming Foundations

Think like a developer, break problems down and write clean, readable Python code.

📊

Data Handling Skills

Efficiently work with CSV, JSON and tabular data using NumPy and Pandas libraries.

🌐

APIs & Automation

Write scripts that call REST APIs, process responses and automate repetitive tasks.

🧪

Testing & Reliability

Use pytest / unittest to keep your codebase well‑tested and easier to change.

📄

Certification Readiness

Work through exam‑style problems and practice tests so you’re ready for certification.

🤝

Mentor Support

Get help with tricky concepts, debugging and exam strategy from Python practitioners.

Python Script Performance
Run Time Memory Tests Coverage

Tools & Libraries You Will Use

Practice with the most popular tools in the Python ecosystem.

Python 3.x
Jupyter Notebook
VS Code / IDEs
NumPy
Pandas
pytest / unittest
Git & GitHub

Roles & Learning Journey

See how this Python course maps to real roles and how your skills grow week by week.

🧰

Python Ecosystem

Get comfortable with the tools and libraries that power scripting, data work and backend systems.

🎯

Career Roles You Can Target

Build a foundation that leads into data, automation and backend development roles using Python.

Python Developer (Junior) Automation Engineer Data Analyst (Python) Backend Developer – Python Scripting / Support Engineer
📚

Your 12‑Week Learning Journey

A roadmap that grows your skills from complete beginner to certification‑ready Python programmer.

Weeks 1–3: Core syntax, control flow & data structures
Weeks 4–6: Functions, OOP, modules & error handling
Weeks 7–9: Data, files, NumPy/Pandas & APIs
Weeks 10–12: Testing, best practices, capstone & exam prep