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Full Stack Python: Complete Guide to Programming, Data Analysis, and Machine Learning
Imperial Academy

Flash Sale | 25-in-1 Advanced Bundle | 250 CPD Points | Free PDF & Hardcopy Certificate | 24/7 Tutor Support

Summary

Price
£130 inc VAT
Or £43.33/mo. for 3 months...
Study method
Online
Course format
Video
Duration
150 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
CPD
250 CPD hours / points
CPD What's this?
Achievement
Endorsed by The Quality Licence Scheme
Assessment details
  • Multiple Choice Questions (MCQ)/Assignment (included in price) (included in price)
Additional info
  • Tutor is available to students

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Overview

The demand for Python developers and data professionals in the UK is skyrocketing, with the tech sector expected to grow by over 25% by 2030. The Full Stack Python: Complete Guide to Programming, Data Analysis, and Machine Learning course equips learners with in-demand technical skills across software development, data science, and artificial intelligence—three of the most sought-after career domains today.

This course is perfect for aspiring programmers, data analysts, and tech enthusiasts aiming to build versatile, future-ready skills. Professionals in full-stack and data roles earn between £40,000 and £85,000 annually in the UK, making this field both lucrative and sustainable.

Learners will gain expertise in Python programming, web development, data visualisation, and machine learning model building.

Enrol today to future-proof your career and master one of the most powerful programming languages driving innovation in technology, business, and AI.

Foundational Python Programming

  1. Python Basic Programming for Absolute Beginners: Introduction to Python syntax and programming fundamentals.
  2. Python Intermediate: Building on the basics with more complex programming concepts.
  3. Code with Python: Learn Classes, Methods and OOP: Diving into object-oriented programming in Python.
  4. Computer Science With Python: Exploring computer science principles using Python.
  5. Automation of Processes: Learning how to automate repetitive tasks with Python scripts.

Database Management and Web Development

  1. SQL Database Basics for Everyone: Introduction to SQL databases and basic data manipulation.
  2. Python Programming from Scratch with My SQL Database: Integrating Python programming with MySQL for database management.
  3. Building Web Applications with Django and PostgreSQL: Developing web applications using Django framework and PostgreSQL.
  4. Web Scraping and Mapping Dam Levels in Python and Leaflet: Techniques for web scraping and visualizing data on maps using Python and Leaflet.

Data Science and Machine Learning

  1. Python Data Science with Numpy, Pandas and Matplotlib: Getting started with data analysis and visualization in Python.
  2. Quick Data Science Approach from Scratch: Fast-track approach to data science concepts and applications.
  3. SQL for Data Science, Data Analytics and Data Visualization: Advanced SQL techniques for data science applications.
  4. Big Data Analytics with PySpark Power BI and MongoDB: Handling big data using PySpark, Power BI, and MongoDB.
  5. Machine Learning Basics: Introduction to machine learning concepts and algorithms.
  6. Machine Learning with Python: Applying Python to develop machine learning models.
  7. Deep Learning & Neural Networks Python — Keras: Exploring deep learning frameworks and neural networks using Keras.
  8. Deep Learning Projects — Convolutional Neural Network: Hands-on projects focusing on CNNs for image recognition.
  9. Project on Deep Learning — Artificial Neural Network: Implementing ANNs in Python for various applications.

Specialized Python Applications

  1. Spatial Data Visualisation and Machine Learning in Python: Combining machine learning with spatial data visualization.
  2. Machine Learning for Predictive Maps in Python and Leaflet: Creating predictive maps using machine learning techniques.
  3. Python for Spatial Analysis in ArcGIS: Applying Python in geographic information systems (GIS) for spatial analysis.
  4. Blockchain & Cryptocurrency: Introduction to blockchain technology and cryptocurrency concepts using Python.
  5. Cyber Security Advanced Training: Understanding cybersecurity principles and practices with Python.

Real-World Python Projects

  1. Making Automated Trading Bot Using Python: Developing an automated trading bot with Python.
  2. Create Smart Maps in Python and Leaflet: Advanced project for creating interactive maps with Python and Leaflet.

Learning Outcomes

After completing this course, you will be able to:

  • Write efficient, scalable Python code using modern programming best practices.
  • Apply object-oriented programming principles to create modular and maintainable projects.
  • Design dynamic front-end and back-end web applications using Python frameworks.
  • Integrate and manage databases effectively using SQL and Python libraries.
  • Perform data analysis using libraries such as Pandas and NumPy.
  • Create data visualisations using tools like Matplotlib and Seaborn for insight discovery.
  • Apply statistical and mathematical concepts to data-driven problem solving.
  • Build, train, and evaluate machine learning models using Scikit-learn.
  • Deploy and maintain full-stack applications in production environments.
  • Demonstrate critical thinking and analytical skills across programming and AI development tasks.

Achievement

Assessment details

Multiple Choice Questions (MCQ)/Assignment (included in price)

Included in course price

CPD

250 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

The Full Stack Python: Complete Guide to Programming, Data Analysis, and Machine Learning course offers a comprehensive journey into modern programming and intelligent system development. It combines core Python programming, full-stack web development, and machine learning techniques to build a strong technical foundation.

Learners will explore everything from writing efficient code to analysing complex data and creating intelligent predictive models. The course also covers backend frameworks, database management, and deployment methods, providing a complete view of how Python powers both web and data-driven solutions.

By completing this course, you’ll gain the confidence to develop full-stack applications, handle real-world data, and implement machine learning models that generate insights and automation. Whether you’re starting your coding journey or advancing your tech career, this programme gives you the skills to thrive in today’s digital economy.

Who is this course for?

  • Those eager to start a career in programming, data science, or AI development.
  • Learners who wish to master full-stack development and machine learning in one programme.
  • Professionals looking to transition into high-demand tech and data-focused roles.
  • Graduates seeking a competitive advantage in software and AI-driven industries.
  • Anyone passionate about coding, automation, and technological innovation.

Career path

  • Python Developer (£40,000 – £70,000)
  • Full Stack Developer (£42,000 – £75,000)
  • Data Analyst (£38,000 – £60,000)
  • Machine Learning Engineer (£50,000 – £85,000)
  • AI Research Assistant (£45,000 – £80,000)
  • Software Engineer (£40,000 – £75,000)
  • Web Developer (£35,000 – £60,000)
  • Data Scientist (£48,000 – £82,000)

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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