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Improve every aspect of your business by transforming it into a Data-Driven Enterprise. We start with your key strategic goals, then map out a roadmap and build measurement points to work with every team ensuring they have the analytics and mindset to deliver continued process improvement. Until your goals are reached.

We guide your business through our Data Maturity Model to clearly define what you need to do to keep ahead of your competitors. We believe that data quality initiatives must run in parallel to business activities. That means there’s a need for an ongoing investment in data governance, within the parameters of your budget. You don’t have to aim for zero mistakes in your data, because that could be too expensive. Instead, we will help you achieve a state where your data is truly fit for purpose.

Introduction to Data Science, Big Data and Business Analytics is aimed at the professional who wants an introduction to data science with a strong focus on business applications. By the end of the course, participants will be capable of building, tuning and deploying regression and classification models for a variety of business problems.

Introduction to Data Science, Big Data and Business Analytics (3 days)

Data Science

Predictive Analytics and Advanced Machine Learning (3 days)

Predictive analytics and machine learning techniques are revolutionizing business and government. Predictive Analytics and Machine Learning in R and Azure is aimed at the person who wants to have a better understanding of the mechanics behind the models and how these models are realistically applied in the business setting. In addition to covering advanced machine learning techniques in depth, the course covers the management of stakeholder expectations during predictive analytics projects and analytics project management.

Data Storytelling for Business Course (2 days)

Data storytelling is predicted to be the top business skill of the next 5 years. Well told data stories are change drivers within the modern organization. But how do we find the most important insights in our business data and communicate them in a compelling way? How do we connect the data that we have to the key underlying business issue? This course takes students from the fundamentals (what should we be measuring and why?) through to the elements of good visualization design (what does a good chart look like?) through to proficiency in data story telling. By the end of the course, students will know how to produce engaging, cohesive and memorable data stories using Excel and PowerPoint. 

An explanation of the terms and techniques utilised in data warehousing and business intelligence circles. This course provides foundational understanding for a project team and an initial stepping stone towards deeper learning including a summary of dimensional modelling

Data warehousing and BI Fundamentals (1 day)

Data Management

How to Ensure your Data Management function succeeds (2 days)

This two-day interactive course focuses on the main reasons for failure and how to combat them.  Each of the topics will be unpacked through explanation and feedback.  Delegates will then learn techniques to tackle the problems

Dimensional Modelling workshop (2 days)

This workshop uses the tried and tested Kimball approach to dimensional modelling to produce a working, problem specific bus matrix that enables: prioritisation of data modelling, requirements gathering and ETL work, detailed design and effort estimation. This workshop is best held at the beginning of a data warehouse implementation project with the project team.

Loosely based upon the teachings of Stephen Few and Edward Tufte, this is a technology independent introduction to best practice data visualisation and dashboard design.  Applying these principles has radically improved data visualisation in many organisations.

Data Visualisation training workshop (1 day)

Data Visualization

Power BI (2 days)

This introductory course covers connecting to and extracting data, transforming the data, creating powerful reports and dashboards and publishing the results.  The hands-on sessions allow the delegates to practice what they have learned and have their work reviewed by other delegates and Daton Data experts.

Tableau (2 days)

This introductory course covers the basic functions and capabilities of Tableau Desktop; from designing and developing analyses though to Dashboard creation and sharing outputs. This course also introduces some aspects of Data visualisation as they apply within Tableau.

Course provides users with the knowledge to get the most out of R. Participants will learn how to use R efficiently & productively for data analysis, graphics & reporting.

Getting started with R (1 day)

R Courses

Intermediate R (1 day)

Intermediate R Course builds on the Introductory course & includes the latest developments in R, including functions/packages for analysing big data & producing advanced visualisations.

Advanced R (1 day)

Attendees will learn how to develop and maintain code, troubleshoot and optimise R code, analyse and visualise large data-sets using the latest out-of-memory and big data graphics packages.

Python is a very popular high-level programming language. It is interpreted, object oriented and an interactive scripting language. Introduction to python is the basic python programming one day course for beginners and those seeking refresher in python programming.

Getting started with Python (1 day)

Python Programming

Intermediate Python (1 day)

Intermediate Python Course builds on the Introductory course & includes the latest developments in Python, including functions/libraries for analysing big data & producing advanced visualisations.

Advanced Python (1 day)

Attendees will learn how to develop and maintain code, troubleshoot and optimise Python code, analyse and visualise large data-sets using the latest out-of-memory and big data graphics libraries.