JBI Training offers four data analytics courses covering different levels and specialisms. Available courses are Introduction to Data Analytics (three days), Excel for Data Analysts (one day), Dimensional Data Modelling (three days), and Data Analytics Solutions with Azure Databricks (two days). All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for data and analytics teams.

The Introduction to Data Analytics course is a three-day programme designed for professionals who are new to data analytics or who want to build a solid foundation in analytical thinking and practice. It covers the core concepts of data analysis, working with data from different sources, data cleaning and preparation, descriptive and exploratory analysis techniques, data visualisation principles, and interpreting and communicating analytical findings. It is suited to business analysts, reporting professionals, operations staff, and anyone moving into a more data-focused role who needs a structured foundation before progressing to tool-specific training such as Power BI, Python, or SQL.

Dimensional data modelling is the practice of structuring data in a way that is optimised for analytical querying and business intelligence reporting — as opposed to transactional database design. It is the foundational approach behind data warehouses and data marts, using concepts such as fact tables, dimension tables, star schemas, and snowflake schemas. JBI's three-day Dimensional Data Modelling course covers the theory and practice of dimensional modelling in depth, including how to identify and define business processes, granularity decisions, slowly changing dimensions, and how to design models that perform well at scale and integrate cleanly with BI tools such as Power BI and Tableau. It is suited to data engineers, BI developers, data architects, and analytics engineers who design or work with data warehouse structures.

The two-day Data Analytics Solutions with Azure Databricks course covers how to use the Azure Databricks platform — built on Apache Spark and optimised for the Azure cloud — to build scalable data analytics solutions. Topics include the Databricks workspace environment, ingesting and transforming data using notebooks and Spark DataFrames, Spark SQL for analytical querying, Delta Lake for reliable, versioned data storage, integrating Databricks with Azure Data Lake and Azure Synapse Analytics, and building analytics workflows that support both batch and streaming data. It is suited to data engineers, analytics engineers, and data scientists who work within the Azure data ecosystem and need to process and analyse data at scale.

The Excel for Data Analysts course is a one-day focused programme covering the Excel features and techniques most relevant to analytical work — going beyond basic spreadsheet use to cover tools that professional analysts use for data exploration and reporting. Topics include advanced lookup and reference functions, dynamic arrays, Power Query for importing and transforming data from external sources, PivotTables and PivotCharts for summarising and exploring data, data validation, conditional formatting for visual analysis, and an introduction to the Excel Data Model for handling larger datasets. It is suited to analysts who use Excel regularly but want to work more efficiently and handle more complex datasets without switching to a specialist BI or programming tool.

Yes. All data analytics courses at JBI can be delivered as customised onsite or online programmes for corporate data and analytics teams. Content and exercises can be tailored to the team's existing tools, data sources, skill levels, and analytical objectives. For example, a team new to analytics can receive a structured programme starting with foundations and progressing to tool-specific skills, while an experienced team adopting Azure Databricks can receive training focused specifically on that platform and their cloud architecture. JBI has delivered data analytics training for teams at organisations including the BBC, NHS, RBS, Sky, EDF, and Capita.

Yes. Data analytics is a rapidly evolving field and JBI's training content is continuously reviewed to reflect the latest developments across the tools and techniques covered. This includes updates to Azure Databricks and Delta Lake capabilities, new Excel features including Copilot integration and dynamic array functions, evolving best practices in dimensional modelling for modern cloud data warehouse platforms such as Microsoft Fabric, Snowflake, and BigQuery, and the growing role of AI-assisted analytics in day-to-day analytical workflows. Delegates learn skills that are current and directly applicable to the analytical environments and tools used in professional data roles today.