About the course
Embark on your programming journey with our PCEP Certification Course, tailored for beginners eager to learn their first programming language.
This course will teach you the fundamentals of Python - the programming language that opens more doors than any other. Python is renowned for its simplicity and versatility, and we’ll set you up with a development environment and have you coding on day one.
During four days of hands-on interactive study you’ll learn the universal concepts of computer programming and the key syntax and semantics of the Python language, applying these to relevant problems in a progressive and engaging series of lab exercises.
Furthermore, completing this course will prepare you for PCEP™ certification, providing a tangible goal and enabling you to validate the Python skills you have learned. This certification is an interim step to the PCAP™ certification, and the starting point to launch a career in software development or data and analytics.
Sign up to this course to gain a solid foundation in Python and a valuable credential to kickstart your programming career.
Instructor-led online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
For more information about how to take the exam, see the Python Institute website for details on how to register.
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- Set up and navigate a Python Interactive Development Environment (IDE), such as Anaconda with JupyterLab.
- Understand fundamental computer programming concepts and Python's basic syntax, including keywords, literals, and comments.
- Work with Python's core data types, including numeric and string literals, and understand operator precedence.
- Define and manipulate variables following Python's naming conventions.
- Utilise Python's built-in collection types (lists, tuples, sets, dictionaries) and treat strings as collections.
- Define and call custom functions to organise and reuse code effectively.
- Implement control flow statements using if-elif-else for conditional logic and for/while loops for iteration.
- Understand the concept of exceptions and the built-in exception hierarchy in Python.
- Handle runtime errors gracefully using the try-except syntax for basic exception management.
- Write simple, functional Python programs that demonstrate foundational programming constructs.
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This training course is designed for:
Aspiring programmers looking to learn Python - the most popular and flexible programming language today
Data analysts with some background in popular tools such as Excel or Tableau who are looking to extend their data skills and gain access to the Python data ecosystem
team leaders, product managers, and project managers who want to understand the basics of Python to more effectively manage and communicate with technical team members
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This course will suit anyone who is comfortable dealing with numerical / logical applications, for instance, through prior experience with Excel or other spreadsheet software. No prior programming experience required
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This PCEP preparation course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Setup and Introduction to the Interactive Development Environment (IDE)
We recommend Anaconda + Jupyterlab
(we can accommodate your organisation's preferred IDE / development tools for custom training programmers)
Computer Programming and Python Fundamentals
Universal programming concepts: terms and definitions
Python’s logic and structure (keywords, built-in functions, literals, comments etc)
Literals, operators, variables
Numeric literals, string literals
Operators and operator precedence
Operator “overloading” - string and integer addition and multiplication
Variables and variable naming
Collections and strings
Lists, tuples, sets, dictionaries
Strings as collections
Functions
Some key built-in functions and their arguments
User defined functions
Control flow
Conditional logic with if-elif-else
For and while loops
Exceptions and exception handling
Built in exceptions and the exception hierarchy
Handling exceptions with try-except
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Anaconda - a well-curated distribution that helps you install and manage Python plus a wealth of Open Source tools
PyCharm - popular Python IDE by JetBrains
Python extension for Visual Studio Code - Microsoft's free IDE is another popular choice for Python developers
PyDev - another popular IDE - you can install as a standalone or as a plugin for Eclipse
Jupyter Notebooks - comes with Anaconda but you can install it independently.
Pip - a simple but effective command-line tool that makes it easy to obtain and install Python packages
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