What you will learn in the Python Programming Fundamentals
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Write basic Python programs using variables, data types, and operators.
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Implement conditional statements and loops to control program flow.
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Utilize functions and modules to write reusable and organized code.
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Manipulate data using lists, dictionaries, and other data structures.
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Debug code and handle errors effectively.
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Employ Git for version control and create a professional GitHub portfolio.
Program Overview
Module 1: Introduction to Python
⏳ 4 hours
- Provides a comprehensive introduction to Python programming, including fundamental concepts, installation of Python and Jupyter Notebook, and writing your first Python program.
Module 2: Variables and Data Types
⏳ 4 hours
- Covers the use of variables and data types in Python, enabling you to store and manipulate data effectively.
Module 3: Control Flow
⏳ 4 hours
- Introduces conditional statements and loops, allowing you to control the flow of your programs based on different conditions.
Module 4: Functions and Modules
⏳ 4 hours
- Focuses on creating reusable code through functions and organizing code using modules.
Module 5: Data Structures
⏳ 4 hours
- Explores Python’s built-in data structures like lists and dictionaries, essential for managing collections of data.
Module 6: Debugging and Version Control
⏳ 4 hours
- Teaches debugging techniques and introduces version control using Git and GitHub to manage and collaborate on code projects.
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Job Outlook
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Completing this course prepares you for entry-level roles such as Python Developer, Data Analyst, or Software Engineer.
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The skills acquired are applicable across various industries that utilize Python for software development and data analysis.
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Enhance your employability by gaining practical experience in Python programming and version control.
Explore More Learning Paths
Build a solid foundation in Python programming with these carefully curated programs designed to enhance your coding skills and prepare you for real-world applications in software development, data analysis, and automation.
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Related Reading
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What Is Python Used For? – Discover Python’s versatility across software development, web development, data analysis, automation, and machine learning, making it a critical tool for modern programmers.