Get India’s best PhD data analysis for thesis, synopsis & dissertations. Top-rated experts at ThesisLikho deliver trusted, affordable, and premier PhD support.
40K+
PhD & Master’s Research Scholars
900K+
Pages Of Analyzed Outputs
300K+
Research Hours with AI Support
500+
Universities & Scholars Globally
SPSS, R, Python, Stata, or NVivo—customized for qualitative, quantitative, or mixed research.
From raw datasets and coding to statistical/thematic tools—we set a top PhD data analysis benchmark.
UGC + global styles (APA, MLA, IEEE) with tracked edits & expert notes—submission-ready.
Sampling design, regression, ANOVA, SEM, or qualitative coding—designed to fit your study.
SPSS, R, Python, Stata, NVivo—step-by-step guidance for credible results.
From cleaning to hypothesis testing & interpretation—precise and reproducible.
Turnitin, Drillbit & AI checks ensure originality and ethical compliance.
We map your objectives and university norms to define exact analysis scope.
Design unique frameworks & select tools (SPSS, R, Python, Stata, NVivo).
Refine raw data, coding & organization for accuracy and readiness.
Regression, ANOVA, SEM, qualitative coding—tests aligned to hypotheses.
Clear findings with charts, tables & academic write-ups (UGC + global styles).
Viva prep, presentations & Q&A so you defend results confidently.
| Base of Comparison | ThesisLikho | Others |
|---|---|---|
| Data Analysis Design | Customized statistical frameworks aligned to objectives. | Generic, copy-paste models. |
| Tool Expertise | Specialists in SPSS, R, Python, Stata, NVivo. | Limited to basic tools. |
| Academic Standards | UGC + Global formats (APA, MLA, IEEE). | Formatting errors, no compliance. |
| Reliability | Stepwise process ensures accuracy & timelines. | Unstructured, delays, errors. |
| Mentor Support | Continuous guidance + viva preparation. | No post-draft support. |
| Affordability & Trust | Transparent pricing, trusted service. | Hidden costs, inconsistent quality. |
How to Do PhD Data Analysis Step by Step (With Examples)
A practical guide on cleaning raw data, choosing tools, and presenting results that meet academic standards.
Talk to our experts and get a tailored analysis plan today.