Python Programming
Overview
At Canadian College Of Business Health And Arts, we recognize and harness the transformative power of customized guidance and strategic insight to propel both individuals and organizations towards their objectives.
Whether you are a seasoned executive or a budding entrepreneur, our services are meticulously crafted to meet you at your current stage and facilitate your progress toward your aspirations.
Acknowledging the unique landscape of each business, along with its distinct challenges and opportunities, we adopt a tailored approach, collaborating closely with you to devise strategies that directly address your specific requirements and foster substantial advancement.
Our mission is to empower you with the essential tools, knowledge, and confidence necessary to navigate complex business environments and attain sustainable success. Our commitment transcends conventional coaching techniques, integrating an array of proven methods and innovative practices to provide comprehensive support.
From strategic planning and leadership development to enhancing team dynamics and performance, our expertise encompasses diverse facets of business management. We take pride in cultivating a collaborative and supportive atmosphere where you are encouraged to explore new concepts, overcome challenges, and unlock your full potential.
With a history of success and an unwavering dedication to excellence, we stand ready to partner with you on your journey toward growth and achievement, transforming your vision into reality and laying the groundwork for enduring success.
What You’ll Learn
This course introduces you to Python programming, one of the most versatile and beginner-friendly programming languages used in various fields like web development, data analysis, artificial intelligence, and more. By the end of the course, you’ll have a strong foundation in Python and be able to write your own programs. Key topics covered include:
- Introduction to Python syntax and structure
- Data types: integers, floats, strings, and booleans
- Variables and operators
- Control flow: if statements, loops (for and while)
- Functions and modular programming
- Working with lists, tuples, dictionaries, and sets
- Introduction to object-oriented programming (OOP) in Python
- File handling and basic input/output
- Error handling and debugging
- An introduction to libraries like NumPy and Pandas for data manipulation
This course is designed for beginners, so no prior programming experience is needed.
Job Opportunities: Python is one of the most in-demand programming languages and is used in a wide variety of roles. After completing this course, you’ll be well-equipped for a range of entry-level positions, such as:
- Python Developer
- Junior Software Developer
- Data Analyst (beginner level)
- Automation Tester
- Back-End Developer
- Web Developer (using frameworks like Django or Flask)
- Junior Data Scientist
- DevOps Engineer (entry-level)
- Research Assistant (in fields like AI, Data Science, etc.)
Python’s versatility means it’s used in many industries, including tech, finance, healthcare, research, and more.
Next Possible Courses: After mastering the basics of Python, consider advancing your skills with the following courses:
- Intermediate Python Programming – Deepen your understanding of advanced topics like decorators, generators, and regular expressions.
- Python for Data Science and Machine Learning – Learn how to use Python for data analysis and machine learning using libraries like NumPy, Pandas, and Scikit-Learn.
- Web Development with Python and Django/Flask – Dive into web development using Python frameworks such as Django or Flask.
- Python for Automation and Scripting – Learn how to automate tasks using Python scripts to improve efficiency in various workflows.
- Introduction to Artificial Intelligence with Python – Explore AI concepts and implement them in Python for machine learning and natural language processing.
Additional Highlights:
- Hands-on Coding: Engage in real-world projects and coding exercises to apply what you’ve learned in practical scenarios.
- Beginner-Friendly: The course is designed with beginners in mind, so you’ll be guided step-by-step through every concept, making it easy to follow along.
- Interactive Learning: Access coding challenges, quizzes, and assignments that help reinforce what you’ve learned.
- Industry-Ready Skills: Python is used in a wide variety of fields. This course provides a solid foundation that can be applied to many areas such as web development, data analysis, and automation.
- Flexible Learning: Study at your own pace with access to videos, quizzes, and coding exercises that allow you to practice as you go.
- Career Support: Learn tips for building your Python portfolio, improving your resume, and applying for Python-related jobs.
Popularity Rationale: Python is one of the most popular programming languages today due to its readability, versatility, and wide range of applications. It is used by major tech companies (like Google, Facebook, and Instagram) and in emerging fields like artificial intelligence, machine learning, data science, and web development. Its simplicity makes it ideal for beginners, but its power and flexibility also make it suitable for advanced projects. As the demand for Python skills continues to grow, learning Python is an excellent way to enter the tech industry or advance your career.
Chapters
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Introduction to Python Programming
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Python Syntax and Basic Constructs
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Variables, Data Types, and Operators
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Control Flow: Conditional Statements and Loops
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Functions in Python
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Data Structures: Lists, Tuples, Dictionaries, and Sets
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Introduction to Object-Oriented Programming (OOP)
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File Handling in Python
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Error Handling and Debugging
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Working with Libraries: NumPy and Pandas (Intro)
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Capstone Project: Building a Python Program
Students are required to complete 39 hours of in-class training.
39 hours
Program Summary
This table will display a summary of total instructional hours, delivery format and percentage weight for every Type of Learning entered in the List of Subjects. The ministry, career college and any subject or education assessors may refer to this section for a general understanding of the components of the program.
| Type of Learning | Total Instruction Hours | Delivery Format | % Weight |
|---|---|---|---|
| Theory | 20.00 | On-Line | 58.67% |
| Practical | 19.00 | On-Line | 41.33% |
| Total Type of Learning | 39.00 | ||
| Total Program Hours | 39.00 | 100.00% |
$CAD
Details
Certification
39 Hours
Updated: 03/01/2025
Prerequisites
If you attended a post-secondary institution after high school, we need both your high school transcript and your post-secondary transcript.
- Entry into many of our programs is competitive and your post-secondary marks can strengthen your application.
- If you did not graduate from high school and have a GED, send us a copy.
- Even if you graduated a while ago, we still need your high school transcript.
- If you cannot obtain it, let us know and we can discuss your options.
- If you studied at college or university, you must submit your post-secondary transcript AND
your high-school transcript. This may strengthen your application.
- Basic understanding of machine learning concepts.
- Familiarity with Python programming and libraries like TensorFlow or PyTorch.
- Understanding of neural networks and deep learning fundamentals.
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