What will you learn in Crash Course on Python Course
Understand Python basics: syntax, variables, data types, operations, and control flow.
Work with strings, lists, dictionaries, and loops to manipulate and iterate data.
Define functions, apply conditionals, and structure reusable code.
Grasp object-oriented concepts (optional module): classes, methods, and code reuse.
Complete a final project to build a real-world Python application and apply learned concepts.
Program Overview
Module 1: Hello Python!
⏳ 3 hours
Topics: Intro to programming, automation concepts, Python syntax, functions, code editors/IDEs (JupyterLab, Colab, VS Code).
Hands-on: Use code editors, run scripts, complete quizzes and interactive plugin challenges.
Module 2: Basic Python Syntax
⏳ 4 hours
Topics: Data types, expressions, variables, defining/using functions, code style, logical operators, branching (if/else/elif).
Hands-on: Quiz on expressions/variables, function challenges, branching exercises.
Module 3: Loops
⏳ 3 hours
Topics: While loops, for loops, nested loops, loop control, recursion (optional).
Hands-on: Loop practice quizzes, loop challenges, recursion mini‑tasks.
Module 4: Strings, Lists and Dictionaries
⏳ 5 hours
Topics: String manipulation, list/tuple operations, list comprehensions, dictionary usage, data structures.
Hands-on: Data structure challenges, practice quizzes, plugin interactive tasks.
Module 5: Final Project
⏳ 3 hours
Topics: Problem-solving framework, applying Python knowledge to real-world problems.
Hands-on: Design and build a complete program (e.g., a word cloud generator), and submit final project.
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Job Outlook
Ideal preparation for roles in IT Automation, Systems Administration, and DevOps support.
Lays the foundation for advanced Python specializations or certificates (e.g., Google IT Automation with Python).
Beginner-level skills in Python open pathways in scripting, data processing, and entry-level software development.
Specification: Crash Course on Python
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FAQs
- No coding experience is necessary.
- The course is beginner-friendly and starts from scratch.
- Logical thinking and problem-solving skills are useful.
- Familiarity with computers will help.
- Extra practice ensures smoother progress.
- Designed by Google, ensuring industry relevance.
- Structured with real-world examples.
- Includes a capstone project for hands-on practice.
- Teaches both basics and optional OOP concepts.
- Shorter and more compact than multi-course tracks.
- Final project involves building a real application.
- You’ll practice automation tasks.
- Skills can be used in data processing scripts.
- Foundation strong enough for small coding projects.
- More complex apps require further learning.
- Prepares you for entry-level automation tasks.
- Helps in IT support, DevOps, and system admin roles.
- Acts as a foundation for advanced Python specializations.
- Employers value Python basics learned here.
- Additional practice needed for software developer roles.
- Builds the Python foundation required for data science.
- Smooth transition into libraries like Pandas and NumPy.
- Ideal starting point for AI/ML learning.
- Supports web development learning with frameworks later.
- Opens multiple tech specialization paths.
