What will you learn in Learn to Code: Python for Absolute Beginners Course
- Solve problems with Python using variables, conditionals, loops, and functions.
- Translate logical solutions (e.g., flowcharts, execution sheets) into Python code.
- Manipulate strings and lists through slicing, iteration, and string operations.
- Create and use custom functions and explore built-in utilities for problem-solving.
- Tackle quizzes and coding challenges to reinforce learning in an interactive environment.
Program Overview
Module 1: About the Course
⏳ ~10 min
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Introduction to programming essentials, Python, and the Educative learning environment.
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Orientation on lessons, quizzes, and the in-browser code editor.
Module 2: Problem Solving with Simple Programs
⏳ ~60 min
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Learn to develop flowcharts and execution sheets for basic logic (e.g., bottle filler).
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Write and test simple Python programs, reinforced by quizzes.
Module 3: Decisions and Branching
⏳ ~45 min
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Convert flowcharts into Python conditionals (if-else).
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Practice logic through quizzes on branching logic.
Module 4: Python Basics
⏳ ~90 min
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Understand data types, input/output, errors, and writing your first Python script.
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Complete a “Formula Converter” challenge to apply knowledge.
Module 5: Repetition with Loops
⏳ ~90 min
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Dive into for-loops, range, sentinel loops, and nested loops.
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Challenge: implement logic to compute the nearest power of 2.
Module 6: Strings and Lists
⏳ ~90 min
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Perform string operations, list iteration, nested lists, and list slicing.
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Final challenge: detect arithmetic sequences in a list.
Module 7: Functions
⏳ ~60 min
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Define and call functions; use built-in functions and create your own.
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Complete an anagram-checking challenge using learned concepts.
Module 8: Appendix – Complex Programs
⏳ ~60 min
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Apply combined concepts in more complex programs involving strings, loops, and lists.
Module 9: Wrap-Up
⏳ ~5 min
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Review gained skills and guidance on next steps (web, AI, data science).
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Job Outlook
- High demand: Python is one of the world’s most in-demand programming languages, used across industries.
- Career foundational: Begins a path toward roles in web, data science, automation, and backend development.
- Continuous learning: A stepping-stone to advanced topics like AI, data engineering, and system design.
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