Python

Course Information

Duration: 36 Weeks

Time 1 Hour/Week

CI Code: PY101

Location: Virtual, Live

Course Fee: Free With Membership / $199 Without Membership

Start Date: Course Schedule Below

Course Time: Check Registration

Student Age Eligibility: 8 - 17 Years

CI Courses

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Expert teachers

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Virtual Students

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Course Hours

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Why Coding Institute

Study Python with CI

This course provides a comprehensive introduction to Python programming, focusing on fundamental programming concepts and practical applications. Students will learn the basics of Python syntax, data structures, and problem-solving techniques. Through hands-on coding exercises, projects, and interactive labs, students will develop the skills needed to write efficient and effective Python code, preparing them for further studies in computer science and software development.

Understand the core concepts of Python programming, including syntax, data types, and control structures.
Develop proficiency in using Python for problem-solving and data manipulation.
Write and debug Python programs using best practices.
Apply Python programming skills to practical projects and real-world scenarios.
Gain familiarity with Python libraries and tools for various applications.

Available Start Dates & Times

* ALL COURSES ARE 1 HOUR LONG AND FOLLOW EASTERN TIME

Course Details

This Class is a Virtual Live Class

Modules

The modules listed below are those currently intended for delivery in the current academic intake of this course. These may be subject to change in future years as the University regularly revises.

Semester 1

Weeks 1 - 12: Introduction to Python Programming

Topics: Python syntax, basic data types, and variables, loops, return values, dictionaries.

Register for the full course syllabus

Semester 2

Weeks 1 - 12: File Handling

Topics: Reading from and writing to files, except, finally, creating packages, polymorphism.

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Semester 3

Weeks 1 - 12: Advanced Data Handling

Topics: List comprehensions, lambda functions, and map/filter functions, debugging techniques, course review.

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Careers

Learning Outcomes

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

Write and execute Python code that performs specific tasks.
Utilise Python data structures such as lists, dictionaries, and sets.
Implement control flow mechanisms including loops and conditionals.
Debug and optimise Python code for performance and readability.
Apply Python to develop simple applications and solve problems in various domains.

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Highlights

Comprehensive Learning:

Detailed study for foundational learning and development in coding.

Interactive Learning:

Virtual labs, simulations, and real-world case studies.

Expert Instruction:

Live teaching from experienced professionals in the field.

Career Preparation:

Foundation for advanced studies and careers in coding.

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Code Institute uniquely designed to provide the coding experience to students aged 8 – 17. CI does not discriminate on the basis of race, national origin, gender, or disability.