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Data Analysis Services 

Customer Review
Data Analysis Expert
Tools we use

Statistical Data Analysis

Turn your raw data into powerful, publication-ready insights. We provide expert statistical support tailored for academic and research projects—ensuring accuracy, clarity, and impact.

 

What We Offer

  • Data cleaning & preparation

  • Descriptive & inferential statistics

  • Regression & correlation analysis

  • Hypothesis testing (t-test, ANOVA, Chi-square)

  • Visual reports with graphs & charts

     

Tools We Use
SPSS • R • Stata • Python

 

Suitable For

  • Researchers preparing journal manuscripts

  • Graduate & PhD students (thesis/dissertations)

  • Academics needing advanced data analysis

  • Professionals handling research-based projects

Analytical Data Analysis

Expert interpretation of results from major analytical instruments — transforming complex outputs into clear, publication-ready insights.

 

What We Analyze

  • Spectroscopy: NMR, FTIR, UV-Vis, Raman, CD

  • Mass Spectrometry: LC-MS, GC-MS, MALDI-TOF, etc.

  • Chromatography: HPLC, UHPLC, GC

  • Thermal Analysis: DSC, TGA, DMA

  • Microscopy & Imaging: SEM, TEM, AFM

  • Elemental & Surface: XRD, XRF, EDX/EDS, TOF-SIMS

  • Other Techniques: Flow Cytometry, SPR, Electrophoresis, Zeta Potential

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Tools We Use

  •  MATLAB • ChemDraw • Python • R •  GraphPad Prism

  • Suitable For

  • Academic researchers publishing in high-impact journals

  • Industry scientists in pharma, biotech & materials

  • R&D professionals seeking accurate data interpretation

Clinical Data Analysis

Accurate, compliant, and publication-ready analysis for medical, pharmaceutical, and life sciences studies. We transform patient and trial data into reliable, actionable insights.

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Our Expertise

  • Survival Analysis: Kaplan–Meier, Cox proportional hazards models

  • Epidemiology: Incidence/prevalence, risk & odds ratios

  • Biostatistics: Randomization, sample size, hypothesis testing

  • Meta-Analysis & Reviews: Effect size pooling, heterogeneity (I²), QoL measures, cost-effectiveness studies

  • PK/PD Modeling: Pharmacokinetic & pharmacodynamic insights

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Suitable For

  • Clinical or academics researchers Pharmaceutical & biotech companies

  • Healthcare professionals conducting trials or reviews

Client Requirements for Data Analysis Services

1. Raw Data File

Submit the complete dataset in Excel, CSV or other supported formats.

2. Research Objectives & Questions

Provide a clear statement of research goals.

State specific hypotheses or analytical questions.

3. Study Design & Methodology Details

Briefly describe the study type (e.g., experimental, observational, clinical trial).

Include sampling methods and inclusion/exclusion criteria as relevant.

4. Ethical Approval & Data Use Permissions

Supply ethics committee or IRB approval documentation if using human/clinical data.

Confirm you have the rights to share and analyze the data.

5. Analysis Preferences or Journal Guidelines

Statistical preferences (desired tests, significance level, confidence interval, etc.).

Share the target journal’s requirements (table/figure formatting, reporting standards).

6. Timeline & Delivery Expectations

Set target delivery dates and inform if urgent timelines are needed.

7. Additional Requests

Clearly mention any additional requirements (e.g., meta-analysis, specific software usage).

How We Work

Step 1: Understand Your Needs – We discuss your research goals and requirements.

Step 2: Prepare Your Data – We check and clean your dataset for accuracy.

Step 3: Apply the Right Methods – We choose the most suitable statistical tests and models.

Step 4: Run the Analysis – We carry out the analysis carefully and thoroughly.

Step 5: Visualize the Results – We create easy-to-read tables, graphs, and charts.

Step 6: Explain Clearly – We provide results in simple language, linked to your research questions.

Step 7: Deliver & Support – You receive a polished, ready-to-use report, with follow-up support if needed.

Why Choose Us?

✅ 1000+ projects supported – manuscripts, theses & research
✅ Cross-disciplinary expertise – life sciences, medical, social sciences, engineering
✅ Published in high-impact journals
✅ Publication-ready reports – tailored to journal & reviewer needs
✅ Trusted by PhD scholars, postdocs & professionals worldwide

Our Edge

End-to-end support – from data cleaning to final interpretation
Clear visuals – graphs, charts & tables that speak for themselves
Tailored analysis – methods matched to your study design
Systematic Reviews & Meta-Analysis – evidence synthesis with PRISMA standards
Tool expertise – SPSS, R, Stata, Python
Confidential & ethical – reliable data handling always

Our Experts

PhD-level statisticians & research editors

Expertise in clinical, biomedical, and interdisciplinary research

Proven record in peer-reviewed publications

Supportive, precise, and researcher-focused approach

 

Tools We Use

Statistical Analysis: SPSS • R • Stata • Python

Systematic Reviews: RevMan • Covidence • EndNote • Rayyan

Clinical Data: SAS • SPSS Clinical • REDCap • Excel

 

Terms & Conditions

Clients must provide accurate and complete data; results depend on data quality.

All data and research details are kept strictly confidential.

Deliverables include analysis outputs, visuals, and a clear summary report.

If you receive reviewer/editor comments on data presentation or visuals, we will regenerate the full dataset and visuals at no additional cost.

Reasonable revisions are allowed within 7 days; extra work outside the agreed scope may incur fees.

Payment terms are agreed upon before starting; fees are non-refundable once delivered.

We follow professional standards but do not guarantee journal acceptance.

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