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Learning Through Practice

Explore beginner-friendly tutorials in Tableau, Alteryx, Python and AI. Learn by doing practical, hands-on content.

Learning through practice - Data and AI

Featured Courses

Illustration for Tableau Course

Tableau
for Beginners

An introduction to data
visualisation with Tableau

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Alteryx
Essentials

Learn data preparation
and blending with Alteryx

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Python for
Data Analyst

Explore data analysis
and manipulation using Python

Our courses are still being built. We appreciate your patience and look forward to sharing exciting new content with you soon!

Featured Articles

Cover image with Data Modelling title for Power BI tutorial

Data Modelling
with Power BI

Efficient Power BI models start with clean, optimised queries. In this article, you’ll learn practical techniques for improving Power Query performance: reducing rows and columns to using proper data types, summarising tables, and pushing transformations to the source system. A straightforward guide for building faster, more innovative data models.

Discover how the Nearest Neighbour algorithm uses the MNIST dataset identify handwritten digits.

Understanding the Nearest Neighbour Classifier

How does a machine know that a messy scribble is a “3”? Discover how the classic Nearest Neighbour algorithm classifies images using distance, vectors, and the MNIST dataset — a beginner-friendly entry point into machine learning.

Noteworthy Books

Data Visualisation - Book Cover by Andy Kirk

Data Visualisation

Author: Andy Kirk
Publisher: Sage

A practical and structured introduction to data visualisation, this book by Andy Kirk provides readers with essential techniques to turn data into meaningful visuals. Ideal for those working with charts, dashboards, and storytelling.

Cover image of the book Learning SQL by Alan Beaulieu

Leaning SQL

Author: Alan Beaulieu
Publisher: O’Really

A practical and accessible guide to learning SQL from scratch. This book by Alan Beaulieu covers essential concepts with clear examples and hands-on exercises.

Cover image of the book Python for Data Science by Yuli Vasiliev

Python for Data Science

Author: Yuli Vasiliev
Publisher: No Starch Press

This book by Yuli Vasiliev provides an accessible and practical introduction to Python for data science. It helps readers build essential skills in coding, analysis, and automation.

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About

I am a data engineer passionate about turning complex topics into clear, accessible learning. I have worked with leading companies in the UK and now dedicate my time to creating beginner-friendly courses in Tableau, Alteryx, and Artificial Intelligence. This training platform reflects my values: clarity, trust, and practical, hands-on learning.

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