Course Content
- Introduction to Python
- Getting Python
- Python IDLE
- Comments in Python
- Online Python Compilers
- Variables and Data Types
- Creating Variables
- Naming Variables
- Standard Data Types
- Type Conversion or Casting
- Python User Input
- Using f-strings
- Operators
- What are operators in python?
- Arithmetic Operators
- Assignment operators
- Comparison Operators
- Logical operators
- Python Strings
- Accessing characters in a string
- Changing a String
- Deleting a String
- Python String Operations
- String Membership Test
- Built-in String Methods
- Python Escape Characters
- Working with Numbers
- Integers
- Floats
- Numbers and String Together
- Built-in Python Mathematical Functions
- Python Decimal Format
- Random Number
- Lists
- Accessing elements in a list
- Negative indexing
- List Slicing in Python
- Adding, Modifying and Removing elements
- Other Useful List Methods
- List Membership Test
- Tuples
- Creating a Tuple
- Accessing Elements in a Tuple
- Modifying a Tuple
- Removing Elements from a Tuple
- Tuple Methods
- Tuple Membership Test
- Sets in Python
- Creating Python Sets
- Modifying a Set
- Removing Elements from a Set
- Python Set Operations
- Set Union
- Set Intersection
- Python Set Methods
- Set Membership Test
- Built-in Functions with Set
- Python Dates and Times
- Getting the Current Date and Time
- Getting today's year, month and day
- Time object to represent time
- Getting hour, minute and second
- Python datetime object
- Formatting Date and Time
- Python Dictionary
- Accessing values in a Dictionary
- Adding new key-value pairs
- Modifying values in a key-value pair
- Removing key-value pairs
- Python Dictionary Methods
- Dictionary Membership Test
- Dictionary Built-in Functions
- Decision Making
- Python if Statement
- Indentation
- Python if…else Statement
- Python if…elif…else Statement
- Python Nested if Statements
- Membership Test
- Loops in Python
- Python While Loops
- Python for Loop
- Looping Through a String
- The break Statement
- The continue Statement
- The range() Function
- Else in For Loop
- Functions
- Creating and Calling a Function
- Arguments
- Keyword Arguments
- Default Parameter Value
- Return Values
Course Dates, Prices & Enrolment
Scroll right for more details
| Delivery Method | Dates & Times | Hours | Price | Enrolment |
Classroom Training
|
01 Jun 2026 - 05 Jun 2026
Monday & Friday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
Online Training using Zoom
|
01 Jun 2026 - 05 Jun 2026
Monday & Friday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
Online Training using Zoom
|
08 Jun 2026 - 19 Jun 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM
BT
| 12-hour over 6-day |
| Enrol Now |
Online Training using Zoom
|
13 Jun 2026 - 27 Jun 2026
3 Saturdays
03:00 PM - 07:00 PM
BT
| 12-hour over 3-day |
| Enrol Now |
Online Training using Zoom
|
28 Jun 2026 - 12 Jul 2026
3 Sundays
10:00 AM - 02:00 PM
BT
| 12-hour over 3-day |
| Enrol Now |
Online Training using Zoom
|
06 Jul 2026 - 17 Jul 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM
BT
| 12-hour over 6-day |
| Enrol Now |
Online Training using Zoom
|
13 Jul 2026 - 14 Jul 2026
Monday to Tuesday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
Classroom Training
|
13 Jul 2026 - 14 Jul 2026
Monday to Tuesday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
Classroom Training
|
03 Aug 2026 - 07 Aug 2026
Mon, Wed & Fri
10:00 AM - 02:00 PM
BT
| 12-hour over 3-day |
| Enrol Now |
Online Training using Zoom
|
03 Aug 2026 - 07 Aug 2026
Mon, Wed & Fri
10:00 AM - 02:00 PM
BT
| 12-hour over 3-day |
| Enrol Now |
Online Training using Zoom
|
03 Aug 2026 - 14 Aug 2026
Mon, Wed & Fri (2 wks)
03:00 PM - 05:00 PM
BT
| 12-hour over 6-day |
| Enrol Now |
Online Training using Zoom
|
15 Aug 2026 - 29 Aug 2026
3 Saturdays
03:00 PM - 07:00 PM
BT
| 12-hour over 3-day |
| Enrol Now |
Online Training using Zoom
|
14 Sep 2026 - 15 Sep 2026
Monday to Tuesday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
Classroom Training
|
14 Sep 2026 - 15 Sep 2026
Monday to Tuesday
10:00 AM - 04:00 PM
BT
| 12-hour over 2-day |
| Enrol Now |
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Frequently Asked Questions
Which Python version will be used during the course?
We use Python 3 (the latest stable version), which is widely used in industry. All course materials and exercises are designed to work with modern Python versions.
What software do I need for the course?
You can either install Python on your computer or use our browser-based platform to write and run Python code online.
If you prefer to install Python, it is free and can be downloaded from
python.org.
Alternatively, you can use our online Python platform without installing anything:
py.lait.co.
Don’t worry if you’re not technical — we will guide you step-by-step through setup before the session.
Do I need any prior programming experience?
No, this course is designed for complete beginners. You do not need any prior programming or technical experience.
Is Python difficult to learn?
Python is considered one of the easiest programming languages to learn due to its simple and readable syntax. It is ideal for beginners.
What will I learn in this Python course?
You will learn how to:
- Write Python programs from scratch
- Work with variables, data types, and functions
- Use loops and conditional statements
- Build simple applications and scripts
Will there be practical exercises?
Yes, the course includes hands-on exercises and real examples to help you apply what you learn and build confidence.
Is Python useful for my career?
Yes, Python is one of the most in-demand programming languages and is widely used in data analysis, web development, automation, and AI.
What can I do after learning Python?
After completing the course, you can:
- Automate tasks and workflows
- Work with data using Python
- Progress to advanced areas such as data science or machine learning
Can Python help me become a data analyst?
Yes, Python is commonly used in data analysis. It is often combined with tools like SQL and Power BI to analyse and visualise data.
How is the course delivered?
The course is instructor-led and can be delivered live online, at our London training centre, or on-site at your organisation, providing flexible options to suit both individuals and teams.
Will I receive a certificate?
Yes, you will receive a certificate of completion after finishing the course.
What courses can I take after completing this course?
After completing this course, you can progress to more advanced topics such as SQL, Power BI, or Python for data analysis. These courses will help you build a complete skill set for roles in data analysis and business intelligence.