Finance, procurement, stock and HR transactions sit inside ERP systems and databases, but analysts often wait weeks for extracts that then fail to reconcile. Ten days teach the engineering and analytics skills that close this gap and deliver trusted data on a schedule.
The first week covers relational design, normalisation, advanced SQL with joins, window functions and query tuning, and an introduction to PostgreSQL and SQL Server. You then build extract, transform and load pipelines in Python and pandas, add data quality checks and automate runs with orchestration tools such as Airflow. The second week moves to dimensional modelling, star schemas and warehouse design, change data capture, cloud storage, and the structure of ERP data, including SAP and Odoo tables for general ledger, purchasing, inventory and payroll. Analytics labs create reports in Power BI and test datasets for accuracy, with security and governance throughout. The programme suits data engineers, database administrators, BI and data analysts, ERP consultants, finance systems staff and IT auditors. It runs in the classroom, online or in-house with a CPD-accredited certificate. Afterwards you can design, build and document a working pipeline from source system to dashboard.
Every organisation now depends on timely, accurate data, yet the path from operational systems to a management report is often a tangle of manual exports and unreliable spreadsheets. Data engineering replaces that tangle with repeatable pipelines, well-designed databases and clear definitions, while analytics skills ensure the output answers real business questions.
This ten-day programme combines database foundations, pipeline engineering and enterprise application data. Participants start with relational modelling and SQL at an advanced level, then learn how to design schemas, tune queries and manage indexes, transactions and backups. They then build ETL and ELT pipelines with Python, handle files, APIs and database sources, validate data quality, schedule workflows and log failures. Dimensional modelling follows, with facts, dimensions, slowly changing attributes and the design of a departmental warehouse.
A dedicated stream examines ERP data: how transactional tables are organised, how to extract data safely without disturbing production, how to reconcile figures with the general ledger, and how to define metrics for finance, supply chain and workforce reporting. Later sessions address cloud platforms, security, governance, documentation and performance monitoring. Learning is lab-based throughout, and participants finish with an integrated capstone project that moves sample ERP data through a pipeline into a warehouse and a dashboard.
By the end of the course, participants will be able to:
Participants leave with:
The course is laboratory-driven, with roughly two-thirds of the time spent at the keyboard, through:
Day 1: Relational Database Foundations
Day 2: Advanced SQL
Day 3: Performance and Administration
Day 4: Python for Data Pipelines
Day 5: Pipeline Quality and Orchestration
Day 6: Dimensional Modelling and Warehousing
Day 7: ERP Data Structures
Day 8: ERP Analytics and Reconciliation
Day 9: Cloud, Security and Governance
Day 10: Capstone: Source to Dashboard
The course is suited to technical and analytical professionals working with organisational data, including:
Participants who attend all ten days and complete the labs and capstone are awarded a Certificate of Completion by Vision Reach Global Consultancy, accredited for continuing professional development (CPD).
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the Data and Analytics for Data Engineering, Databases & ERP Data programme, you'll be able to design normalised relational schemas and write advanced sql including window functions, tune queries and manage indexes, transactions and backups, build etl and elt pipelines in python and pandas from files, apis and databases, and automate and monitor workflows using orchestration tools. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is suited to technical and analytical professionals working with organisational data, including: Data engineers and ETL developers, Database administrators and architects, Business intelligence and data analysts, ERP functional consultants and super users, Finance and accounting systems staff, IT auditors and risk analysts, Software developers moving into data work, and Statisticians and M&E data managers.
Data and Analytics for Data Engineering, Databases & ERP Data Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Data Engineering, Databases & ERP Data Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Data Engineering, Databases & ERP Data starts November 2, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Data Engineering, Databases & ERP Data Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Data Engineering, Databases & ERP Data Training Course is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Data Engineering, Databases & ERP Data Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Data Engineering, Databases & ERP Data Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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