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Python programming: working with data - remote

CP433 Live remote training course

In this course you’ll learn about data types, and how data structures are manipulated in Python programs.

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Programming Key stage 4 CS Accelerator
Live remote training course 5 hours

  • Live remote training 30 September 09:30—30 September 2023
  • Live remote training 10 October 09:30—10 October 2023
  • Live remote training 27 October 09:00—27 October 2023
  • Live remote training 3 November 09:15—3 November 2023
  • Live remote training 27 November 09:30—27 November 2023
  • Live remote training 15 December 09:00—15 December 2023
  • Live remote training 18 January 16:00—25 January 2024
  • Live remote training 7 February 09:30—7 February 2024
  • Live remote training 5 March 09:00—5 March 2024
  • Live remote training 21 March 09:00—21 March 2024

As you progress beyond the basics of Python programming, this course will help you develop the level of programming skill required for upto GCSE computer science. You’ll go further through the fundamentals of programming, with lots of hands-on experience under the guidance of highly successful teachers of computer science.

During the course you’ll learn about data types, and how data structures are manipulated in Python programs. You’ll create and edit files that can store data for later use, as you begin to develop simple software applications.

New program code almost always contains errors; you’ll become adept at debugging - testing the functionality of your code then identifying and correcting errors.

This course will deepen your knowledge, up to GCSE level which will help boost confidence when teaching key topics to students. 

Book now and you will be automatically registered for the scheduled sessions for the course. Remote CPD courses have live, Professional Development Leader-led sessions and are not available for instant access. Please refer to the schedule of dates published for each course instance.

Prior Knowledge:

You’ll need to be confident in the essentials of sequence, selection and iteration programming constructs to access this course. We recommend the course Python programming constructs – sequencing, selection and iteration.

Do you prefer to learn in a classroom? If so, take a look at: Python programming: working with data

Who is it for?

This course is for current or prospective teachers of computer science with some understanding of computer science principles.

Topics covered

  • 01 | Subroutines - explore the purpose of functions in programming. Learn how local and global variables are used when defining and calling functions in Python.
  • 02 | Working with subroutines - develop your own working programs using subroutines.
  • 03 | Lists and arrays - discover how lists are used in Python to store data values. Interact with lists using commands such as append & remove. Learn how to create and access a two-dimensional list in Python.
  • 04 | Working with lists and arrays - develop your own working programs using lists and arrays.
  • 05 | Reading and writing using files - learn how to read and display content from a text file to a user, understand the difference and construct code that will write or append to a text file.

How long is this course?

This course is approximately six hours in duration, split across several days.

This course is delivered as part of the National Centre for Computing Education.

How will you learn?

Scheduled live, interactive online sessions led by an experienced practitioner.

Flexible Professional Development Leader-supported, participant-led tasks, involving deep exploration of the subject content.


Participants will:

  • Understand why modular programs are easier to understand, build and maintain.
  • Include user-written and built-in functions in programs, passing data between functions and main programs.
  • Learn about variable scope and how it affects subroutines and functions.
  • Understand the need for structured data, and manipulate simple data in Python lists
  • Explain the differences between commonly used file formats, and manipulate their contents using Python code
  • Develop confidence in leading your students as they develop their programming skills

This course is part of the Subject knowledge certificate

Subject knowledge certificate

Our professional development programme, Computer Science Accelerator, is designed to help you develop or refresh your subject knowledge and leads to a nationally recognised certificate.

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