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Programming (Python)

3-4 month

Duration

₦50,000

Fees per session

Start date

Every fisrt month

Python is a versatile and powerful programming language that is widely used in various fields such as web development, data analysis, artificial intelligence, scientific computing, and more. It is known for its simplicity, readability, and ease of use, making it an excellent choice for beginners and experienced programmers alike.

At Trinidax School of Computer, our Programming (Python) course is designed to provide students with a comprehensive understanding of Python programming concepts and techniques. The course covers topics such as data types, control structures, functions, modules, file handling, object-oriented programming, and more.

Students will also learn how to use popular Python libraries and frameworks such as NumPy, Pandas, Matplotlib, Flask, and Django to build real-world applications. The course includes hands-on projects and assignments that allow students to apply their knowledge and skills in practical scenarios.

By the end of the course, students will have a solid foundation in Python programming and be able to develop their own applications and solutions using this powerful language.

Graduate can pursue careers in:
  • Software Developer
  • Data Analyst
  • Web Developer
  • Automation Engineer
  • Game Developer
  • AI/ML Engineer
  • DevOps Engineer
  • Cybersecurity Analyst
  • Database Administrator
  • IT Consultant
Programming (Python) at Trinidax School of Computer

Programming (Python) - FAQs

This course is ideal for beginners with little to no programming experience, as well as professionals seeking to enhance their coding skills for career advancement in software development, data analysis, or automation.

Students will learn Python programming fundamentals, data structures, control flow, functions, modules, file I/O, object-oriented programming, and practical application development. The course emphasizes hands-on projects to build real-world skills.

The course runs over 3–4 months with weekly sessions. Format includes instructor-led lessons, hands-on labs, short projects and assessments. Flexible evening or weekend batches may be available.

A laptop or desktop with internet access is recommended. We use common office suites (Microsoft Office or free alternatives), a web browser, and basic utilities. Software access details will be provided on enrolment.

Assessment includes practical assignments, short quizzes and a final practical test or project demonstrating core skills (document creation, spreadsheet work, presentations, and basic troubleshooting).

Graduates can pursue entry-level roles such as Data Analyst, Business Intelligence Analyst, or Junior Data Scientist. The course also provides a foundation for advanced studies in data science, machine learning, or specialized analytics fields.

Visit the apply link on this page or contact admissions via email/phone. Submit the application form and required ID/qualification documents. Our team will confirm batch options and payment details.

Course fees and available discounts are listed on the course summary. Partial scholarships or instalment plans may be available; contact admissions for eligibility and payment options.

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Contact the Department

Email Address:

admission@trinidax

Phone Number:

+234 813 375 8770

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