Data courses
Learn to harness the power of data through expert-led training courses in data analytics, data visualization, data science, and data engineering.
Explore our data training
Whatever the gaps in your data skills, we can help. From first steps in data literacy to data analyst to data science – we can help you get the best out of your data.
Unlock its secrets with our data science, data engineering, data analytics and AI online and virtual courses, delivered with industry-leading partners, such as Microsoft, Google and AWS.
Upskill your team in data
Harness big data and lay the foundations for a data-driven culture across your organisation with data training at scale.
Advance your career in data with our industry-leading data certifications.
Self-paced learning
Give your learners the freedom to build data skills in their own time on our virtual learning platform.
Data role training
Learn how we can support with the training and upskilling of key data roles.
Data Analyst
Data analysts play a crucial role in helping businesses to improve the quality of their data, and therefore make greater data-driven decisions.
Business Intelligence Analyst
Business Intelligence Analysts are expected to turn data into actionable insights that help organisations make strategic and tactical decisions.
Data Engineer
Data Engineers design scalable systems, optimize performance, and support analytics, enabling teams like Data Scientists and BI Analysts to focus on insights.
Most popular Data courses
Explore self-paced, subscription-based courses
Give your learners the freedom to build data skills in their own time on our virtual learning platform.
Want to become an apprentice?
Recruit new skills into your organisation or upskill your existing workforce with our Data apprenticeship programmes.
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Learn more about data courses
What is data analytics?
Data analytics is the process of examining large sets of data to uncover trends, patterns, correlations, and valuable insights that inform decision-making. By transforming raw data into meaningful insights, data analysts help organisations improve business strategies, optimise processes, and drive better outcomes.
Why is data analytics important?
Data analytics plays a crucial role in the data pipeline. By analysing raw data, data analysts can identify key trends, patterns, and anomalies that directly impact business decisions. Effective data analysis enables organisations to make data-driven decisions that enhance operational efficiency and business performance.
What does a data analyst do?
A data analyst is responsible for gathering, processing, and interpreting data to generate actionable insights. They use a variety of tools and software to turn raw data into meaningful information. By identifying trends and patterns, data analysts provide valuable recommendations that drive business strategies and outcomes.
What does a data scientist do?
A data scientist is responsible for collecting, analysing, and interpreting large sets of data to solve complex problems and provide strategic recommendations. They use a combination of machine learning, statistics, and programming to create predictive models and algorithms that guide decision-making processes within an organisation.
How can I learn data skills?
The best way to begin or progress a career in data is to explore a data apprenticeship or find the best data certification for you. Learning data using our online learning platform can also help you develop continuous learning in data, by providing hours of training content in data skills and programs like Power BI, AWS, Microsoft Azure and GCP.
Do data professionals need programming skills?
Common programming languages used in data analytics include SQL, Python, and R. These languages allow data analysts to query databases, perform statistical analyses, and build models to predict future trends and behaviours.
Are data analysts and data scientists in demand?
Both data analysts and data scientists are increasingly in high demand because organisations are increasingly relying on data to improve decision-making, optimise operations, and drive business growth. As businesses generate more data than ever before, skilled professionals who can extract actionable insights (data analysts) and create predictive models (data scientists) are essential. The rapid evolution of technologies such as AI and big data analytics further fuels this demand.