Students and researchers · NGO and M&E teams · Public-health teams · Small organisations
Data analysis: SPSS, R & Excel
Move from raw records to useful, responsible findings.
For a dataset, survey export or project results that need cleaning, sensible analysis and conclusions that match what the data can truly support.
Book a consultation ↗
Starting pointFrom KSh 2,00045-minute online clinicChoose a time →
- Research objectives and study design
- A de-identified dataset and variable definitions
- Sampling details, prior analysis and required output format
Inspect the data → Run the right analysis → Explain the results
A clinic can address one focused decision. Project work is timed after dataset condition, number of objectives, modelling complexity and review needs are inspected.
Start with a KSh 2,000 focused clinic. A single written quotation is based on scope and complexity, not the client's country or currency.
Use the enquiry for project context only. Dataset transfer begins after de-identification and a secure handling route are agreed.
- Guaranteed significance or a preferred conclusion
- Fabricated or imputed participant records without an approved method
- Academic ghostwriting or unreviewed automated conclusions
Substantial analysis projects include one results-review meeting and a seven-calendar-day correction window for factual or agreed-scope errors.
What you leave with
Clearer work. A more confident next move.
- A clear analysis plan matched to your research question
- Data-cleaning and quality checks to complete first
- Plain-language interpretation of tables, charts and limitations
The session flow
Inspect the data
We review variable types, missing values, coding, duplicates and the question each analysis should answer.
Run the right analysis
We choose descriptive summaries, tests or models because they fit the data - not because they sound advanced.
Explain the results
You leave knowing what the output means, what it does not mean and how to report it responsibly.
Questions, answered
Do I need to know SPSS or R already?
No. You can bring a dataset and your question. The session can be practical, explanatory or both.
Can you guarantee significant results?
No. A good analysis reports what the data shows, including uncertainty and non-significant findings.
Which file formats can I bring?
Excel, CSV, SPSS exports and clearly documented survey exports are the easiest starting point.
ONE CONTROLLED STANDARD
Review the quality and reliability method behind the service.
Scope acceptance, immutable source data, issue decisions, assumption checks, human QA and versioned reporting are part of the operating model.