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Data Analysis Services

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Data Analysis Expert
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Tools we use

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

  • Stata

  • Python

Suitable For

  • Researchers preparing journal manuscripts

  • Graduate & PhD students (thesis/dissertations)

  • Academics needing advanced data analysis

  • Professionals handling research-based projects

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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

Tools we use

  • MATLAB  

  • ChemDraw

  • Python 

  • GraphPad Prism

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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.

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

Suitable For

  • Clinical or academics researchers Pharmaceutical & biotech companies

  • Healthcare professionals conducting trials or reviews

Business Data Analysis

Requirements for Data Analysis Services

1

Raw Data File

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

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.

7

Additional Requests

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

2

Research Objectives & Questions

Provide a clear statement of research goals.
State specific hypotheses or analytical questions.

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).

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.

6

Timeline & Delivery Expectations

Set target delivery dates and inform if urgent timelines are needed

 

 

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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

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How It Works

1

Understand Your Needs

We discuss your research goals and requirements.

5

Visualize the Results

We create easy-to-read tables, graphs, and charts.

2

Prepare Your Data

We check and clean your dataset for accuracy

6

Visualize the Results

We provide results in simple language, linked to your research questions.

3

Apply the Right Methods

We choose the most suitable statistical tests and models.

7

Visualize the Results

You receive a polished, ready-to-use report, with follow-up support if needed.

4

Run the Analysis

We carry out the analysis carefully and thoroughly.

Why Choose Us?

1000+ projects supported – manuscripts, theses & research

Publication-ready reports – tailored to journal & reviewer needs

Cross-disciplinary expertise – life sciences, medical, social sciences, engineering

Trusted by PhD scholars, postdocs & professionals worldwide

Published in high-impact journals

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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