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Research data analysis

Statistical data analysis guidance for research in Pune

Consultation for selecting appropriate analytical methods, preparing data, applying statistical or machine-learning techniques, interpreting results and presenting evidence responsibly.

Who this is for

Guidance aligned to your academic journey.

  • Students analysing dissertation or project data
  • Researchers selecting statistical methods
  • Scholars working with machine-learning models
  • Teams needing clear visualisation and interpretation

What we support

01

Data-quality and preprocessing review

02

Method and test selection

03

Descriptive and inferential analysis

04

Machine-learning evaluation

05

Visualisation and result interpretation

06

Research-ready reporting guidance

Expected outcomes

Clarity, capability and defensible work.

  • Analysis aligned with the research questions
  • Transparent assumptions and limitations
  • Clear tables, figures and interpretations
  • Improved ability to explain and defend results

Ethical service boundary

Mentoring, review and explanation.

Rig Consultancy does not provide impersonation, fabricated data, ready-made submissions, guaranteed marks or guaranteed publication. Students and researchers remain responsible for their original work, authorship and institutional compliance.

Read the Academic Integrity Policy

Free tool

Which statistical test should I use?

A starting point from your research goal. Assumptions still need checking with your data.

What do you want to show?

Pick one to see the usual test, the alternative when assumptions fail, and an example.

Frequently asked

Questions, answered.

Still unsure? Ask on WhatsApp

Which tools can be supported?

Depending on the requirement, guidance may involve Python, R, spreadsheets, Power BI or other suitable analytical tools.

Will you select the method for me?

We help evaluate suitable methods based on research questions, data type, assumptions and intended interpretation.

Can confidential data be analysed?

Only data that may be shared lawfully and ethically should be provided. Anonymisation is strongly recommended where applicable.

Which statistical test should I use?

Start from what you want to show (difference, relationship or prediction), the type of outcome and the number of groups. The test chooser on this page gives a starting point; assumptions still need checking with your data.

Do you analyse the data for me?

We guide you through the analysis on your own data and explain each output so you can run, report and defend it yourself. We do not fabricate, alter or selectively report data.

How much does project guidance cost?

The first 15-minute clarity call is free. Paid sessions are quoted after we understand your programme, stage, tools and deadline, and you approve the quote before anything is booked.

Free 15-minute clarity call

Ready to talk about your research?

Share your programme, topic, current stage and deadline. Scope and any fee are confirmed before a paid session starts.

Ask on WhatsApp