Learning Outcomes
Upon successful completion of this course, students will be able to:
- Understand Python Fundamentals: Demonstrate comprehension of Python syntax, data types, variables, and basic programming concepts.
- Apply Control Structures: Implement conditional statements, loops, and logical operators to create functional program flows.
- Utilise Data Structures: Create and manipulate Python lists, tuples, dictionaries, and sets for efficient data management.
- Develop Functions and Modular Code: Design reusable functions, understand scope, and apply modular programming principles.
- Implement File Handling and Error Management: Read from and write to files, handle exceptions, and debug Python programs effectively.
Instructional Materials:
- Comprehensive course workbook and lecture notes (digital format)
- Access to curated online Python tutorials and resources
- Code examples and solution templates
- Practice exercises with solutions
Learning Resources:
- Supplementary reading materials and reference guides
- Python cheat sheets and quick reference cards
Software and Tools:
Guidance on free, open-source software installation (Python, IDE)
Assessment and Support:
- All coursework assignments and assessments
- Feedback on submitted assignments
- Certificate of completion
Not Included:
- Personal computer or laptop (required for self-study and during lessons)
- Textbooks (recommended reading list provided, but not mandatory)
Assessment Components:
Continuous Assessment (60%):
Weekly programming exercises (60%)
Final Practical Assessment (40%):
- 2-hour hands-on coding, offline project-based practical
- Minimum passing grade: 50% overall
Target Audience
This course is specifically designed for:
Primary Target Groups:
- Complete Programming Beginners:
- Individuals with no prior coding experience who want to learn their first programming language.
- Students exploring software development as a potential career path within a practical business setting.
- Career Changers:
- Professionals from non-technical backgrounds transitioning into technology roles.
- Individuals seeking to enhance their employability with programming skills.
- Undergraduate Students:
- Students from various disciplines (business, science, humanities) requiring Python for academic projects.
- Business Professionals:
- Data analysts, marketers, or managers wanting to automate tasks.
- Professionals seeking to understand technical concepts for better team collaboration.
- Hobbyists and Enthusiasts:
- Individuals interested in programming for personal projects.
- Technology enthusiasts wanting to understand how software works.
Suitable For:
- Ages 16+ (with appropriate educational background).
- Both full-time students and working professionals.
- Individuals committed to self-directed learning.
- Those comfortable with digital learning environments.
Not Suitable For:
- Experienced programmers seeking advanced Python topics.
- Individuals looking for specialised Python applications (e.g., machine learning, web development) without foundational knowledge.
Confirmation of Successful Completion
Course Status: Unaccredited Course
Certificate Requirements:
Students who successfully complete at least 70% of the total learning hours (21 hours out of 30) will receive a Certificate of Completion.
Completion Criteria Breakdown:
| Component | Hours Required | Verification Method |
|---|---|---|
| Contact Hours | 7 hours (70% of 10) | Attendance register, sign-in sheets |
| Hands-On Hours | 6 hours (70% of 8) | Lab session submission |
| Self-Study Hours | 11 hours (70% of 15) | LMS activity tracking, exercise submissions |
| Assessment Hours | 5 hours (100% of 5) | Assignment submission and practical assessment attendance |
Verification Methods for Self-Study Hours:
To ensure accountability for self-study hours, the following tracking mechanisms will be implemented:
- Face-to-Face Participation:
- Face-to-face participation will be tracked via attendance recording.
- Practice Exercise Submissions:
- Weekly coding exercises submitted via LMS.
- Automatic timestamping of submissions.
- Self-Assessment Quizzes:
- Five exercises (one per lesson) to be completed.
- Minimum pass mark: 50% per quiz.
Assessment Components:
Continuous Assessment (60%):
- Weekly programming exercises (60%).
Final Practical Assessment (40%):
- 2-hour hands-on coding, offline project-based practical.
- Minimum passing grade: 50% overall.
Certificate Issued:
“Certificate of Completion: Introduction to Python Programming for Business”
The certificate will state:
- Student name and identification.
- Course title and total learning hours.
- Dates of course completion.
- Confirmation of completing a minimum of 70% of learning hours.
Additional Programme Information
Assessment Schedule:
| Assessment | Due Date | Weight | Format |
|---|---|---|---|
| Weekly Exercises (5) | End of each lesson | 60% | Online submission |
| Final Practical Exam | After last lesson | 40% | Offline Project (individual) |
Quality Assurance:
- Course materials reviewed annually.
- Student feedback surveys conducted.
- Alignment with current Python standards (Python 3.11+).
Application Deadline
The latest date you can apply for the course is the 10th September 2026.
Boost Your Coding scheme
This course is available under the Boost Your Coding scheme. If you are applying under this scheme, apply for financial support here as soon as you get confirmation. You may refer to the guidelines on the MDIA website here. Apply to get financial support here upon receiving the completion certificate.
