Python Programming Fundamentals

our Newest course

Python Programming Fundamentals 10-Week Live Online Certificate

Build real Python skills to power data, automation and upskill in the world’s most popular programming language – no prior coding experience needed.

Apply now

Beginner

Live Expert-Led

Part-time | Online

Real-world project & practical outcomes

Send me a brochure

With over 2000+ hiring partners, our graduates work with some of the world’s leading companies

DEmand

Why learn Python?

Python’s role in AI, data science, automation and modern software makes it more valuable than ever before!

No.1

World’s most in demand programming language – TIOBE Index

58%

Of developers report using Python – Stack Overflow

46%

Percetange of recruiters seeking Python skills – Statista

Download eBook

Curriculum

Master Python Fundamentals

More than theory; Python essentials that feed directly into data, automation, analytics, or advanced technical courses.

Overview

This course is ideal for:

Career changers with little or no prior coding experience, wanting a solid foundation before diving into data / dev / AI training.
Early-career professionals (analysts, marketers, operations) who want to upskill with Python to automate tasks or begin data work.

Weekly Commitment

This course can be undertaken part-time, one evening per week, over 10 weeks.

Course summary

By the end of the course, you will be able to write Python scripts, process datasets, automate repetitive tasks, and real-world project to showcase, along with a certificate of completion.

Syllabus

Introduction to Python

‣ Overview: Understand data analysis and its impact.
‣ Tools & basics: Get started with essential tools and Python programming.

Python Variables & Data Types

‣ Variables & Data Types Explained
‣ Declaring Variables in Python
‣ Determine the Data Type
‣ Converting Between Data Types

Manipulating Numbers and Strings

‣ Basic Math with Arithmic Operators
‣ String Formatting
‣ String Methods
‣ Dynamic String Formatting with F-Strings
‣ Quiz:Python Variables & Data Types

Comparison and Logical Operators

‣ Comparing Values: With Comprison Operators
‣ Determining Truth: With Logical Operators
‣ Debugging Basics: Reading Error Messages
‣ What Just Happened?: Variables, Operators & Expressions

Python Flow Control

‣ If Statements: Truthy & Falsy Values Explained
‣ Nested Flow Control
‣ Debugging: with Print() and Comments
‣ Quiz & Challenge: Python Flow Control

Working with Data Structures

‣ Lists: Slicing & Methods
‣ Nested Data Structures: Lists & Dictionaries
‣ Checking Contrainment: With ‘in’ Operators
‣ Quiz: Data Structures

View full curriculum →

Learning Experience

Our Learning Management System is is designed to provide seamless, flexible online learning, accessible anytime, anywhere. It features interactive content, practical exercises, and tools to track your progress, ensuring you stay on course throughout the programme.

You will also be joined by a community of like-minded people on a dedicated Discord channel where you can share progress, ask questions and get to know your fellow students.

Always-on LMS

Our Learning Management System is always on. You can use our state-of-the-art LMS from anywhere at anytime. All you need is a solid internet connection and you can carry on learning from where you left off.

Tried and tested

Code Institute’s LMS is built on a personalised learning platform, and time and money has been invested in it to ensure that it can effectively provide for our students.

Learning analytics

Code Institute’s platform can track and monitor your progress with our custom-built analytics software so that we can provide support when you need it.

Easy access to your supports

With integrated support from facilitators, student care, and our student community, the LMS creates a collaborative, engaging environment tailored to your success.

Course Specs

Live & expert-led: weekly live sessions for 10 weeks – not just self-paced videos.
Hands-on & practical: weekly coding labs and assignments to build real skill.
Career-ready foundation: Python essentials that feed directly into data, automation, analytics, or advanced technical courses.
Flexible but structured: online delivery for busy professionals – but with cohort accountability and peer interaction.
Certification you can showcase: earn a verified certificate of completion, ready for LinkedIn or CV.

Course Outcomes

How we help you future-proof your career

By the end of the 10 weeks, learners will confidently:

Write Python programs using modern syntax and best practices
Apply control flow, data structures, iteration, functions, exception handling, and OOP concepts
Clean, preprocess, and perform basic analysis on datasets
Complete a final capstone project that demonstrates Python and data analytics skills
Earn a professional certificate of completion, ready to showcase on LinkedIn or CV

Download brochure

Overview

This course is ideal for:

Career changers with little or no prior coding experience, wanting a solid foundation before diving into data / dev / AI training.
Early-career professionals (analysts, marketers, operations) who want to upskill with Python to automate tasks or begin data work.

Weekly Commitment

This course can be undertaken part-time, one evening per week, over 10 weeks.

Course summary

By the end of the course, you will be able to write Python scripts, process datasets, automate repetitive tasks, and real-world project to showcase, along with a certificate of completion.

Introduction to Python

‣ Overview: Understand data analysis and its impact.
‣ Tools & basics: Get started with essential tools and Python programming.

Python Variables & Data Types

‣ Variables & Data Types Explained
‣ Declaring Variables in Python
‣ Determine the Data Type
‣ Converting Between Data Types

Manipulating Numbers and Strings

‣ Basic Math with Arithmic Operators
‣ String Formatting
‣ String Methods
‣ Dynamic String Formatting with F-Strings
‣ Quiz:Python Variables & Data Types

Comparison and Logical Operators

Python Flow Control

‣ If Statements: Truthy & Falsy Values Explained
‣ Nested Flow Control
‣ Debugging: with Print() and Comments
‣ Quiz & Challenge: Python Flow Control

Working with Data Structures

‣ Lists: Slicing & Methods
‣ Nested Data Structures: Lists & Dictionaries
‣ Checking Contrainment: With ‘in’ Operators
‣ Quiz: Data Structures

View full curriculum →

Learning Experience

You will also be joined by a community of like-minded people on a dedicated Discord channel where you can share progress, ask questions and get to know your fellow students.

Always-on LMS

Tried and tested

Code Institute’s LMS is built on a personalised learning platform, and time and money has been invested in it to ensure that it can effectively provide for our students.

Learning analytics

Code Institute’s platform can track and monitor your progress with our custom-built analytics software so that we can provide support when you need it.

Easy access to your supports

With integrated support from facilitators, student care, and our student community, the LMS creates a collaborative, engaging environment tailored to your success.

Course Specs

Live & expert-led: weekly live sessions for 10 weeks – not just self-paced videos.
Hands-on & practical: weekly coding labs and assignments to build real skill.
Career-ready foundation: Python essentials that feed directly into data, automation, analytics, or advanced technical courses.
Flexible but structured: online delivery for busy professionals – but with cohort accountability and peer interaction.
Certification you can showcase: earn a verified certificate of completion, ready for LinkedIn or CV.

How we help you future-proof your career

By the end of the 10 weeks, learners will confidently:

Write Python programs using modern syntax and best practices
Apply control flow, data structures, iteration, functions, exception handling, and OOP concepts
Clean, preprocess, and perform basic analysis on datasets
Complete a final capstone project that demonstrates Python and data analytics skills
Earn a professional certificate of completion, ready to showcase on LinkedIn or CV

Testimonials

Why reskillers choose Code Institute

Knowledge of Python, Data Analytics and AI tools is becoming indispensable for modern professionals. We’re moving more towards data decision-making at every level. Facts and logic-based arguments are winning. It’s no good providing a report and expecting somebody to interpret it. You have to take the data, understand it, and relate it to the business. Every team member should become “data stewards” for their respective areas, ensuring the quality and relevance of the data they use.

David Kelly

Subject Matter Expert in Data & AI Leadership

It became clear very quickly that data analytics within the business landscape was vital to ensure a company has the right insight moving forward In an Immensely competitive market place. Coming from a non-coding background and building my skill set over time using various data sets and turning them into visual dashboards and understanding the processes involved to achieve this during my studying has been invaluable.

Julian Colling

Data Analytics | Code Institute Graduate

This course met my expectations and even went beyond them. There were lots of resources and information available. I have used the skills I learned in the course in real-world projects. For example, I worked on a data analysis project using the World Happiness dataset.

Selda Sen

Data Analytics | Code Institute Graduate

The course helped me gain and enhance a number of skills that are directly linked to the role I secured.

Chris

Data Analytics | Code Institute Graduate

I was initially nervous about starting the Data Analytics and AI course with Code Institute. But Code Institute met my expectations. The support from tutors and the community was incredible. Over time, I developed a good understanding of Python and began to actually enjoy solving problems.

Mukti Mathapati

Data Analytics | Code Institute Graduate

How you apply

Steps to become a student

Step 1

Let us know you’re keen to learn, and we’ll guide you from there.

Step 2

Connect with an Education Advisor

Explore your needs and goals with our expert to find the right course.

Start now

Step 3

Complete the Application Process

Finish your application to secure your spot.

Step 4

Start Your Learning Journey

Prepare to dive in and begin your path to success!

Pricing

Finance options tailored for you

Upfront

Live facilitated classes
Remote learning with flexible scheduling
Continuous assessment
Code Institute qualification
Hands-on project and real-world applications
Community access

Speak to an advisor

Flexible Plan

Live facilitated classes
Remote learning with flexible scheduling
Continuous assessment
Code Institute qualification
Hands-on project and real-world applications
Community access

Speak to an advisor

How to prepare for an
AI-Driven Future in 2025

Are you ready to embrace the future of technology and secure a thriving career in the era of AI? Dive into the transformative world of Artificial Intelligence and Data Analytics with our exclusive eBook, “AI and Data Analytics in 2025: Trends, Impact, and Your Guide to the Future”

Download eBook

FAQ

Check out frequently asked questions

Do I need prior coding knowledge?

No. The course starts from absolute fundamentals. You only need a laptop and curiosity.

What if I miss a live session?

All sessions are recorded – you can catch up at your own pace, however, it is strongly encouraged to attend all sessions.

What are the career outcomes?

Professional upskilling:
- Data Analytics Roles: A versatile field applicable in many roles, from business analysis to specialised data analyst positions, focusing on interpreting data to support decision-making. Python is a must-have skill for many of these roles.
- Software Development Roles: Junior developers or those who specialise primarily in front-end technologies will benefit from becoming a more rounded programmer, not to mention widely attractive in today’s job-market.
Baseline for a complete career change:
- A foundation in Python means you can transition from your current role to a Data Analytics or Software Development role quite seamlessly with continuous development. Graduates of this course will be applicable to advance to one of our career change courses – The best news? You will receive a reimbersment for these course fees as a discount.

How long is the course?

This course is designed to accommodate learners who may need flexibility. The program is 30 hours with 10 x live sessions, project work and continous assessment.

What computer do I need?

Most laptop computers are perfect for this programme. A good measure is, if you have no problem completing the Free Intro to Data Analytics – then you should be fine. However, we recommend that the device has at least 4Gb RAM – 8Gb RAM is even better.