Data Analytics Training Courses
Build Practical Data Analysis, Reporting and Business Intelligence Skills
Data plays an increasingly important role in helping organisations understand performance, identify trends and make informed decisions. Our instructor-led Data Analytics training courses are designed to help professionals develop the practical skills needed to collect, prepare, analyse, visualise and manage data effectively.
Our courses cover a range of data analytics tools and technologies, from advanced Microsoft Excel, Power Query and Power BI through to Microsoft Azure, Microsoft Fabric, CompTIA Data+ and Data Architecture. Whether you want to improve day-to-day reporting, create interactive dashboards, gain a recognised data certification or develop more advanced analytics and data engineering skills, you can choose training that matches your role, experience and career goals.
Build practical data architecture skills. Learn data modelling, cloud data platforms, ETL/ELT, governance, security and scalable AI/ML solutions.
.svg){kind=small}
3 days
Learn SQL fundamentals including SELECT queries, filtering, sorting, aggregate functions, joins and subqueries on this one-day Introduction to SQL course.
1 day
Learn Azure data fundamentals across relational and non-relational data, Azure Storage, Cosmos DB, data warehousing, real-time analytics and data visualisation.
1 day
Implement end-to-end analytics with Microsoft Fabric using OneLake, lakehouses, warehouses, Dataflows Gen2, notebooks, DAX, semantic models, security and governance.
4 days
Implement data engineering solutions using Microsoft Fabric on this 4-day DP-700 course. Learn data ingestion, lakehouses, warehousing and real-time analytics.
4 days
Use Microsoft Fabric for data science and machine learning, including notebooks, data exploration, model training, scoring and AI solution development.
1 day
Implement a Microsoft Fabric lakehouse using Spark, Delta Lake, Dataflows Gen2, Data Factory pipelines and medallion architecture.
1 day
Build real-time analytics solutions in Microsoft Fabric using eventstreams, eventhouses, Real-Time Dashboards and Activator.
1 day
Operationalise production AI on Azure using MLOps, GenAIOps, Azure Machine Learning, Microsoft Foundry, GitHub Actions, deployment and monitoring.
4 days
Build intelligent AI apps and agents on Azure using Microsoft Foundry, generative AI, agentic solutions, multimodal capabilities and production-ready design.
4 days
Build CompTIA Data+ skills in data collection, cleansing, manipulation, statistics, visualisation, dashboards, reporting, governance and data quality.
5 days
Master advanced Excel functions, XLOOKUP, dynamic arrays, What-If Analysis, PivotTables and Power Pivot for more powerful reporting and data modelling.
1 day
Learn Excel Power Query to import, clean, transform, merge and reshape data, then load repeatable queries for reporting and analysis.
Half day
Learn to use Microsoft Power BI Desktop to import and transform data, create visualisations and build interactive reports and dashboards.
1 day
1-day live online Microsoft Power BI Desktop Intermediate course for users ready to develop stronger reporting, modelling and DAX skills.
1 day
Develop advanced Power BI Desktop skills using DAX, data modelling and analytical techniques to create sophisticated reports and insights.
1 day
Develop practical DAX skills for Power BI, including calculated columns, measures, tables, evaluation context, variables and troubleshooting.
2 days
Prepare, model and visualise data with Power BI, create interactive reports, use Copilot and manage workspaces and semantic models.
1 day
Develop end-to-end Power BI skills in data preparation, semantic modelling, DAX, report design, analytics, workspaces, dashboards, distribution and data security.
3 days
Learn to query and modify data using Microsoft Transact-SQL, including filtering, joins, subqueries, functions and working with SQL Server data.
2 days
Which Data Analytics Course Is Right for You?
The right course will depend on your current experience, the tools you use and how you work with data. If you regularly use Microsoft Excel, our advanced Excel and Power Query courses can help you work more efficiently with larger datasets, automate data preparation and create more sophisticated reports.
For those looking to build interactive reports and dashboards, our Microsoft Power BI courses provide a progression from introductory through to advanced skills. We also offer recognised Microsoft and CompTIA certification training for professionals who want to develop broader data analytics, cloud data, Microsoft Fabric and data engineering knowledge.
As our Data Analytics portfolio continues to grow, we will be adding further courses covering areas such as SQL, Python and specialist data analysis techniques.
Why Choose ExperTrain for Data Analytics Training?
Our Data Analytics courses are designed to help delegates develop skills they can apply in the workplace, whether they are analysing information in Excel, preparing and transforming data, building Power BI reports or developing more advanced data and analytics capabilities.
Training is delivered live by experienced instructors, giving delegates the opportunity to ask questions, work through practical exercises and discuss how the techniques covered can be applied to their own roles. Courses range from practical skills-based training through to recognised professional and vendor certifications, allowing individuals and organisations to build a learning pathway that matches their requirements.
Data Analytics Training for Your Team
If you are looking to develop data skills across a team or organisation, we can help you identify suitable courses based on existing knowledge, job roles and the tools your employees use.
Private training can be arranged for groups who would benefit from a dedicated course, with live online delivery available for geographically dispersed teams. We can also help organisations build structured training pathways covering areas such as Excel, Power BI, data analytics, Microsoft Fabric and related technologies.
.png){kind=small}
