Courses

This course provides a hands-on introduction to Generative AI (Gen-AI).

Students will learn about the opportunities and risks that Generative AI presents, and how best to apply this new technology in the workplace.

This course will teach you how to build your own GPT in ChatGPT.

You can think of a GPT as being a chatbot expert on a topic of your choice.

No programming is required.

This course will walk you through the process of setting up a custom Copilot using Copilot Studio.

You can think of a Copilot as being your own personal chatbot expert on a topic of your choice.

Copilot has some advantages over Custom GPTs such as providing easy access to data hosted in Microsoft Cloud locations such as SharePoint, and providing better access controls to keep your data private.

No programming is required.

In this course you’ll learn how to set up your own computer to run a range of Open-Source Large Language Models (LLMs).

This course provides an introduction to the fields of Data Analysis and Data Science. The aim is to introduce key concepts and ideas, foster an interest in the subject, and give attendees an appetite to learn more. Along the way, students will learn how to find and present interesting stories from a dataset.

You may have the skills to analyse data, but can you convey your insight to others?

This course teaches the three key skills that you'll need to turn data analysis into convincing actionable insight: data visualisation, storytelling and presenting.

Time will be split between learning the theory and putting it into practice, with numerous real-world datasets to analyse, visualise and stories to present.

This course covers the key tenants of the GDPR and the EU AI Act. Students will consider how both pieces of legislation might affect their organisation, their organisation’s customers, and how they themselves might be impacted as employees. A number of interesting Case Studies will guide the conversation.

Managers are busy people, so let us cut right to the chase, and develop a bespoke course to meet your needs.

Typically, this course provides a condensed version of content taken from our other courses, but tailored for a managerial audience.

Our experts will be able to quickly design a course to meet your needs from our extensive range of course modules.  Simply let us know what topics you want covered, what time you have available, how much detail you want us to cover, and we’ll do the rest.

Variations of this course are often requested to accompany courses for the staff you’re managing:

• Microsoft Certifications (e.g. DP-600: Microsoft Fabric Analytics)

• Machine Learning with Python

• Creating GPTs with ChatGPT

• Etc.

Please get in touch so that we can deliver the perfect course for your managers.

Most people who manage Data Projects lean on their prior knowledge and experience of managing projects within their organisation. But perhaps it’s time to consider if there’s a better way?Most people who manage Data Projects lean on their prior knowledge and experience of managing projects within their organisation. But perhaps it’s time to consider if there’s a better way?

In this course we’ll ask students to reflect on how they currently manage data projects, and introduce them to a range of techniques and methodologies that are specifically designed for managing data projects.

Students will be set an assignment to reflect on the merits, strengths and weaknesses of each, before returning to the group with recommendations for how they’d manage a Data Project within their organisation.

Learn how to commission Power BI Reports.

Effectively implementing Data Management and Data Governance procedures is vital if you are trying to improve the reliability, accuracy, quality, and, ultimately, the trustworthiness of the data in your organisation.

This course will help you on that journey by:

• Setting out guiding principles to follow

• Sharing commonly used frameworks for you to adopt

• Providing case studies that allow you to analyse how other organisations have successfully adopted good Data Management and Data Governance practices.

This course is designed for those who are interested in improving their data analysis skills by learning to overcome a range of common problems that exist when consuming large data sets within an organisation.

The most obvious use for data modelling is when designing a relational database and splitting data across multiple tables (a process called normalisation), however, being able to model data is an incredibly useful skill that every Data Analyst should know.