Control Flow in Python – Conditional & Iterative Statements Explained

This guided lab explores Python’s control flow mechanisms, including conditional and loop statements. Participants will work on hands-on coding exercises to master decision-making, iteration, and nested structures for efficient problem-solving.

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3 hours on-demand video | 4 Articles | 8 Downloadable Resources
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  • Write conditional statements for decision-making.
  • Use loops for efficient repetition and automation.
  • Implement nested conditionals and loops.
  • Optimize code using break, continue, and pass.
  • Debug control flow errors effectively.
  • Apply control flow concepts in real-world tasks.

Course Curriculum & Resources

  • if, elif, and else Basics
  • Nested Conditionals and Logical Operators
  • Common Pitfalls in Conditional Logic

  • for Loops & Iterating Over Sequences
  • while Loops & Loop Control Statements
  • Optimizing Loops for Performance

  • Using break, continue, and pass Effectively
  • Looping with List Comprehensions
  • Real-World Applications & Best Practices

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Instructor Info

  • Instructor Code: ABM07
  • Specialty: Cloud, Data Science & GenAI Expert
  • Experience: Worked with Microsoft, JO Morgan Chase, Deloitte Consulting in the USA
  • Education: Holds an MS in Data Analytics Engineering from George Mason University, USA, and an MTech in Biomedical Engineering from IIT Bombay.

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    Frequently Asked Questions

    Basic Python knowledge is recommended, but the lab includes guided exercises for beginners.
    Yes, the lab includes hands-on challenges and mini-projects based on real-world scenarios.
    It will enhance your ability to write efficient, error-free control flow structures in Python.
    Python, Jupyter Notebooks, online coding environments, and debugging tools.

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