Starting in analytics
Build a practical foundation from the first query to a finished dashboard.
A practical data analytics program
Turn data
into decisions.
A practical 4-month data analytics program combining SQL, Python and Power BI through hands-on learning, real datasets and real-world business problems.
SQL + Python + Power BI4 monthsReal projectsCertificate
ONE CONNECTED WORKFLOW
01 / RETRIEVESQLAsk better questions{ }
02 / ANALYSEPythonMake data usefulƒx
03 / COMMUNICATEPower BIMake insight visible
THE OUTCOMEA decision someone can act on.
01 / Who it's for
Your starting point
is enough.
You don't need to arrive knowing SQL, Python or Power BI. Bring a problem-solving mindset and curiosity about the data around you.
↗
Changing direction
Connect your existing experience to the way data teams solve business problems.
Working with reports already
Move beyond spreadsheets and repetitive reporting into deeper analysis.
Building a stronger team
Organizations can enquire about practical, tailored training for their people.
02 / Why these tools together
One workflow.
Three useful tools.
Real analytics work isn't a set of disconnected software lessons. It's a chain of decisions about data.
RETRIEVE
SQL gets the data.
Find the right records, connect tables and turn business questions into queries.
WORK WITH
Python shapes it.
Clean, transform, analyse and prepare data for repeatable work.
COMMUNICATE
Power BI makes it clear.
Build a useful view of performance and explain what the numbers mean.
Learn the tools. Understand the data. Solve real problems.
03 / A four-month progression
Each month gives
the next one context.
MONTH 01 01
Query with SQL
Ask questions of databases, join the right tables and check data quality.
A clear answer from raw recordsMONTH 02 02
Analyse with Python
Use Pandas to clean, reshape, explore and automate the analysis.
A reliable, reusable datasetMONTH 03 03
Explain with Power BI
Model the data, define KPIs and make the result useful to others.
A dashboard with a point of viewMONTH 04 04
Bring it together
Work through a complete business problem from raw data to insight.
A project you can walk through04 / The work behind the charts
Useful analysis
starts with a
real question.
Practice with business-shaped problems: not just how a feature works, but when it helps answer the question in front of you.
QUESTIONS WORTH ASKING01 — 04
01
Which customers are becoming less active?
Customer activity02
What explains a change in branch performance?
Branch performance03
Where is the sales trend shifting?
Sales analysis04
How is a loan portfolio changing over time?
Portfolio analysis05 / Beyond the tools
Part of a much
bigger picture.
AI, machine learning, cloud platforms and data engineering all depend on the same fundamentals: data that can be found, understood and trusted.
This program builds those foundations. It doesn't claim to make you an expert in every corner of the data industry.
BUSINESS SYSTEMS→Databases &
data warehouses
data warehouses
SQL→Python→Power BITHE PROGRAM WORKFLOW
AutomationAPIsCloud analytics
AI & machine learningBig dataMicrosoft Fabric & Azure
Learn where the work fits. Keep building from there.
06 / How we teach
Grounded in how
analytics is used.
The program is taught by industry-experienced analytics professionals who understand how SQL, Python and Power BI show up in real working environments.
Sessions focus on decisions, trade-offs and practical workflows—not just remembering where a button lives.
07 / Work worth showing
Build the whole
story, not just
the chart.
In month four, choose a business question and carry it through the complete analytics workflow.
08 / Completion
A record of the work
you've completed.
VUMBUACertificate of Completion3-in-1 Data Analytics ProgramSQL · PYTHON · POWER BI
Learners who successfully complete the program receive a Vumbua Certificate of Completion. No external accreditation is implied.
10 / Program investment
Four months.
One connected skill set.
Clear pricing, with the detail where it belongs: in the program.
KES 20,000 / monthKES 80,000 total · 4 months
Program details ↗
11 / Start with a conversation
Bring your questions.
We'll start there.
Ask about the next cohort, the learning format or practical training for your organization.