Unlock the power of Python by mastering structured programming principles that produce clean, readable, and reliable code.
This course is designed for beginners and self-taught programmers who want to move beyond trial-and-error coding and start thinking like professional software developers.
Learning with me, you will be guided step by step to break problems into smaller parts, write reusable functions, organise your code logically, and follow best practices that make your programs easier to debug, test, and maintain.
By the end of this course, you will not only understand Python syntax, you will also develop the mindset of a structured programmer who can design solutions with clarity and confidence.
What you will learn
- Apply structured programming concepts such as sequence, selection, and iteration in Python
- Use functions to modularise programs and avoid repetitive code
- Work confidently with variables, data types, operators, and user input
- Implement decision making with
if,elif, andelsestatements - Use loops effectively to process data and automate repetitive tasks
- Write cleaner code that follows a consistent style and structure
- Solve real-world problems through guided programming exercises and mini projects
Who this course is for
- Absolute beginners who want a solid and structured introduction to Python
- Self-taught programmers who feel their code is messy and want to improve its quality
- Students and professionals who need Python for school, research, or work
- Anyone who wants a strong foundation before moving into object oriented programming, data science, or web development
Join this course on Structured Programming in Python and learn with me as we build a strong, professional foundation that will support all your future programming goals.
- 9 Sections
- 32 Lessons
- Lifetime
- SECTION 1: Course Orientation and Setup4
- SECTION 2: Foundations of Structured Programming in Python4
- SECTION 3: Variables, Data Types, and Input / Output6
- SECTION 4: Decision Making with Selection Structures6
- SECTION 5: Iteration with Loops6
- SECTION 6: Modular Programming with Functions7
- 6.1Why functions matter in structured programming
- 6.2Defining and calling functions
- 6.3Parameters, arguments, and return values
- 6.4Variable scope and good function design
- 6.5Using modules and importing code
- 6.6Quiz: Functions and modular design0 Questions
- 6.7Assignment: Build a menu driven program using functions
- SECTION 7: Working with Collections (Lists, Tuples, and Dictionaries)6
- 7.1Introduction to sequences in Python
- 7.2Lists: creation, indexing, slicing, and common methods
- 7.3Tuples and when to use them – Lesson: Dictionaries for key–value data
- 7.4Iterating over collections and basic algorithms (search, count)
- 7.5Quiz: Collections and basic algorithms0 Questions
- 7.6Assignment: Simple data processing task using lists and dictionaries
- SECTION 8: Structured Problem Solving Project6
- 8.1Project briefing and requirements
- 8.2Planning the solution using structured design (pseudocode and flowcharts)
- 8.3Implementing the solution step by step in Python
- 8.4Testing, debugging, and improving code readability
- 8.5Assignment: Final project submission (complete structured Python program)
- 8.6Course wrap up, next steps in Python and further learning paths
- NU Coursework Assignment Submissions1
