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Python

Python for Beginners

This beginner-level Python course introduces learners to the fundamentals of programming through an interactive and structured approach. The course focuses on building a strong conceptual foundation using hands-on experimentation, guided examples, and practical problem-solving, preparing students for further studies in areas such as data science, automation, and software development.

0.0
2 students enrolled
Created by
P
Prashant Jha

About this course

This course is designed for learners with no prior programming background and provides a structured introduction to Python programming. It emphasizes conceptual understanding, logical thinking, and hands-on practice to build a strong foundation in programming.

Key Highlights of the Course

  • Beginner-Friendly Learning Path
    Introduces Python from the ground up, assuming no previous experience with programming or coding concepts.

  • Environment Setup and Verification
    Guides learners through installing Python, verifying the installation, and understanding the execution environment.

  • Understanding the Python Interpreter
    Explains how Python code is read, translated, and executed by the interpreter, including the handling of errors and feedback.

  • Concept-Focused Video Instruction
    Uses short, focused videos to explain each concept clearly, ensuring learners understand the “why” behind the syntax.

  • Interactive Code Exploration
    Provides editable code boxes that allow learners to experiment with Python expressions and observe real-time results.

  • Prediction-Based Learning
    Encourages learners to predict outputs before execution, strengthening analytical thinking and conceptual clarity.

  • Immediate Practice Through Micro-Tasks
    Reinforces learning with small, targeted practice tasks that apply concepts without overwhelming the learner.

  • Structured Quizzes and Concept Checks
    Includes low-stakes quizzes designed to test understanding of logic and execution rather than memorization.

  • Error Awareness and Debugging Skills
    Introduces syntax errors intentionally to help learners understand how Python identifies and reports mistakes.

  • Progressive Skill Development
    Builds concepts incrementally, ensuring a smooth transition from simple expressions to structured program writing.

  • Academic and Industry Relevance
    Connects foundational concepts to real-world applications in data analysis, automation, software development, and related domains.

  • Outcome-Oriented Course Design
    Focuses on measurable learning outcomes, enabling learners to demonstrate practical programming skills by the end of the course.

Learning Outcomes

By the end of this course, learners will be able to:

  • Verify and configure a Python programming environment

  • Use the Python interpreter to execute and evaluate code

  • Write and understand basic Python expressions and conditions

  • Identify and interpret syntax errors

  • Apply Python fundamentals to simple real-world problem scenarios

Course content

3 sections 12 lectures
  • trial new
  • Try It Yourself!
  • Test Your Knowledge!
  • Visual Studio Code Setup & Your First Program
  • Python Environment Self-Check
  • Try It Yourself!
  • Python Interpreter & Environment Setup
  • Understanding User Input in Python
  • Let's Code
  • Test Your Knowledge!
  • Understanding Variables
  • Creating and Assigning Variables
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