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Intermediate Python

Development
20 students
(4 Rating)

About This Course

The Intermediate Python course is designed to help learners strengthen their Python programming skills and move beyond the basics into more advanced coding concepts. The course builds on foundational knowledge and introduces structured programming techniques used in real-world software development, data processing, and automation tasks.

Learners will explore advanced Python concepts such as object-oriented programming, file handling, error management, modules, libraries, and functional programming techniques. The course also focuses on writing clean, efficient, and reusable code while improving problem-solving abilities through practical exercises and coding challenges.

By the end of the course, learners will be able to design more complex Python programs, apply advanced programming logic, handle data effectively, and develop real-world applications with greater confidence and efficiency.

Structured advanced training helps learners transition from basic coding to practical software development skills using Python. The course combines theory with hands-on practice to improve confidence in building functional programs. Flexible online learning supports students, aspiring developers, and professionals aiming to enhance programming ability for career growth in software, data, and automation fields.

This course is suitable for learners who already understand basic Python and want to advance their programming skills. Ideal for students, aspiring software developers, data enthusiasts, and professionals aiming to improve technical ability in programming, automation, or software development roles. It is also helpful for those preparing for more advanced studies in data science, AI, or backend development.

No formal qualifications are required. Learners aged 16 and above can enrol. Basic Python knowledge, understanding of variables, loops, and functions is recommended. Interest in programming, problem-solving, and software development will help learners gain maximum benefit from the course content.

Course Curriculum

  • file Variables and data types
    00:11:00
  • file Data structures
    00:11:00
  • file Set methods(add, copy, union, intersection, difference etc)
    00:08:00
  • file Dict methods(keys, values, items, get, setDefault etc)
    00:05:00
  • file Complex structures(list of lists, list of dicts, dict of lists etc)
    00:05:00
  • file Conditional statements
    00:06:00
  • file Loops in python
    00:08:00
  • file Functions in python
    00:05:00
  • file Exercise (m1)
    00:06:00

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