Live Online Data and Analytics for Data Engineering, Databases & ERP Data Training Course
Live online, instructor-led · next cohort Nov 2, 2026 · from USD 1,700
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.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
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.
Training Objectives
By the end of the course, participants will 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.
- Automate and monitor workflows using orchestration tools.
- Model dimensional warehouses with fact tables and slowly changing dimensions.
- Extract and interpret ERP transactional data for finance, procurement and inventory reporting.
- Implement data quality tests and reconciliations against source totals.
- Deliver analytical dashboards that rely on engineered data.
What you'll learn
Key Takeaways
Participants leave with:
- A library of advanced SQL patterns and tuning notes.
- A working Python ETL pipeline with data quality tests.
- A star schema design for a business area of their choice.
- A map of key ERP tables and extraction rules.
- A reconciliation routine linking warehouse and ledger totals.
- A capstone project and documentation they can show to employers or managers.
Training Methodology
The course is laboratory-driven, with roughly two-thirds of the time spent at the keyboard, through:
- Short concept sessions followed by guided SQL and Python labs
- Shared practice databases and anonymised ERP extracts
- Code review and troubleshooting clinics
- Team build of a warehouse and dashboard
- A capstone presented to the class for critique
Day 1: Relational Database Foundations
- Relational concepts, keys and normalisation
- Entity-relationship modelling
- Data types, constraints and integrity
- PostgreSQL and SQL Server environments
- Loading sample databases
- Lab: designing a schema from requirements
Day 2: Advanced SQL
- Joins, subqueries and common table expressions
- Window functions and ranking
- Aggregation, grouping sets and pivoting
- Handling dates, text and null values
- Views, stored procedures and functions
- Lab: analytical queries on transactional data
Day 3: Performance and Administration
- Reading execution plans
- Index design and maintenance
- Transactions, locking and isolation levels
- Backup, recovery and monitoring
- Roles, permissions and auditing
- Lab: tuning slow queries
Day 4: Python for Data Pipelines
- Python and pandas for data wrangling
- Reading from CSV, Excel, JSON and APIs
- Database connections and bulk loading
- Cleaning, standardising and enriching data
- Error handling and logging
- Lab: building a first ETL script
Day 5: Pipeline Quality and Orchestration
- Data validation and unit tests for pipelines
- Incremental loads and idempotent design
- Scheduling and orchestration with Airflow concepts
- Alerting and failure recovery
- Version control for data projects
- Lab: scheduling and monitoring a pipeline
Day 6: Dimensional Modelling and Warehousing
- Warehouse architecture and layers
- Facts, dimensions and grain
- Slowly changing dimensions
- Surrogate keys and conformed dimensions
- Change data capture and incremental refresh
- Lab: building a star schema
Day 7: ERP Data Structures
- How ERP systems store finance, purchasing and inventory data
- Key tables in SAP and Odoo style systems
- Master data versus transactional data
- Safe extraction methods and replica use
- Chart of accounts, cost centres and organisational hierarchies
- Lab: extracting purchase to pay data
Day 8: ERP Analytics and Reconciliation
- Defining metrics for finance, supply chain and HR
- Reconciling warehouse figures with the general ledger
- Handling currency, period and posting logic
- Audit trails and segregation of duties
- Detecting anomalies in transactional data
- Lab: building a trial balance report
Day 9: Cloud, Security and Governance
- Cloud storage and managed database services
- Data lakes and lakehouse concepts
- Encryption, masking and access control
- Data catalogues, lineage and documentation
- Cost control and performance monitoring
- Discussion: choosing an architecture
Day 10: Capstone: Source to Dashboard
- Scoping the capstone and data sources
- Building the pipeline and warehouse model
- Creating Power BI reports on engineered data
- Testing, documentation and handover
- Team presentations and peer review
- Course review and career pathways
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
- Statisticians and M&E data managers
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).
Choose Where You Want to Learn
Data and Analytics for Data Engineering, Databases & ERP Data Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$3,000- KenyaMombasaNext Oct 26· 13 dates$3,200
- KenyaNaivashaNext Nov 2· 13 dates$3,000
- KenyaKisumuNext Oct 26· 13 dates$3,000
- KenyaMachakosNext Nov 2· 13 dates$3,200
UgandaKampalaNext Nov 2· 13 dates$3,800
RwandaKigaliNext Oct 26· 13 dates$3,800
TanzaniaArushaNext Nov 9· 13 dates$3,800- TanzaniaDodomaNext Oct 26· 13 dates$3,600
- TanzaniaDar es SalaamNext Oct 26· 13 dates$4,000
- TanzaniaZanzibarNext Nov 16· 13 dates$5,200
NigeriaLagosNext Nov 16· 13 dates$5,600- NigeriaAbujaNext Nov 9· 13 dates$5,600
South AfricaPretoriaNext Nov 2· 13 dates$6,400- South AfricaJohannesburgNext Nov 2· 13 dates$6,800
- South AfricaCape TownNext Oct 26· 13 dates$7,600
UAEDubaiNext Oct 26· 13 dates$7,600
GhanaAccraNext Nov 16· 13 dates$9,000
Scroll sideways to see all 18 cities →
Frequently Asked Questions About Live Online Data and Analytics for Data Engineering, Databases & ERP Data Training Course
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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