Data Analysis Services Worldwide. SPSS / R / Python / Stata

No.1 Data Analysis Services Worldwide. PhD Statisticians + Data Scientists Since 2001

Get data analysis by PhD statisticians and data scientists. SPSS, R, Python, Stata, SAS, JASP, jamovi for quantitative analysis. NVivo, ATLAS.ti, MAXQDA for qualitative analysis. SmartPLS, AMOS, Mplus for SEM. Descriptive stats, hypothesis testing, regression, factor analysis, SEM, multilevel modelling, time-series, survival analysis, machine learning. Output interpretation in plain English. Trusted by 9,800+ researchers and students in 60+ countries.

PhD Statisticians + Data Scientists • Quant + Qual + Mixed • Plain-English Output

9,800+Data analysis projects since 2001

200+PhD statisticians + data scientists

3 hFastest turnaround

0%AI on Turnitin

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Why Researchers and Students Choose Projectsdeal for Data Analysis

1. PhD Statisticians + Data Scientists

Writers hold PhDs in statistics, biostatistics, econometrics or data science. Many actively consulting for academic researchers or industry.

2. Output Interpreted in Plain English

Raw SPSS / R / Stata output is meaningless without interpretation. We deliver tables + figures + plain-English commentary your supervisor and examiner will understand.

3. Methodology First, Software Second

Choose the right test for the question and data. Assumption checks, effect sizes, power, sample size justification. Software is the tool, not the answer.

4. Quant + Qual + Mixed-Methods

Quant in SPSS / R / Stata / Python / SAS. Qual in NVivo / ATLAS.ti / MAXQDA (thematic analysis, framework, IPA). Mixed-methods integration.

5. Reproducible Workflows

R / Python scripts with comments. Stata do-files. SPSS syntax. All data files, codebooks, output delivered for full reproducibility.

6. Statistical Consultation

Before analysis: research question ↔ design ↔ analysis plan alignment. Power analysis (G*Power). Pilot data review.

Worldwide Grading Systems. Which Mark Band Do You Need?

Pass

Standard band

Upper

2:1 / B+ / Credit

Default Target

Top

First / A / HD

On Request

How It Works in 3 Steps

1

Send Your Brief

Problem question or essay prompt, jurisdiction, word count, deadline, referencing style. Takes 30 seconds.

2

Get a Quote in 30 Seconds

Transparent quote by email. LLM writer matched to your area of law.

3

Receive Your Essay

Delivered with Turnitin similarity + 0% AI reports. Free unlimited revisions.

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12 Data Analysis Types We Cover

Descriptive Statistics

Foundation

Means, SDs, frequencies, distributions, normality, outliers. APA-formatted tables and figures.

Hypothesis Testing

Inferential stats

t-tests, ANOVA, ANCOVA, chi-square, Fisher exact, Mann-Whitney, Wilcoxon, Kruskal-Wallis.

Regression Analysis

Predictive modelling

Linear, multiple, logistic, ordinal, multinomial, hierarchical / multilevel, Poisson, negative binomial.

Factor Analysis & PCA

Dimensionality

EFA (exploratory factor analysis), CFA (confirmatory in SEM), principal components, Cronbach alpha.

Structural Equation Modelling (SEM)

Multivariate causal

AMOS, Mplus, SmartPLS, R lavaan. Path analysis, latent variables, mediation, moderation, multi-group.

Multilevel / Hierarchical Modelling

Nested data

Random intercept, random slope, growth curves. R lme4, Stata mixed, Mplus, HLM.

Time-Series Analysis

Temporal data

ARIMA, VAR, GARCH, cointegration, ECM. Stata, R, EViews.

Survival Analysis

Time-to-event

Kaplan-Meier, Cox proportional hazards, competing risks. R survival, Stata stcox.

Machine Learning Analysis

Predictive models

Classification, regression, clustering. Python scikit-learn, R caret / tidymodels.

Qualitative Analysis (NVivo / ATLAS.ti)

Thematic + framework + IPA

Coding, themes, framework, IPA, grounded theory, content analysis. Coding tree delivered.

Mixed-Methods Integration

Convergent / sequential

Joint display, meta-inferences. Creswell-Plano-Clark integration approaches.

Meta-Analysis

Quantitative synthesis

RevMan, R metafor, Stata admetan. Effect-size pooling, heterogeneity, publication bias.

Data Analysis Methods, Software and Disciplines We Cover

SPSS R / RStudio Python (pandas, scikit-learn, statsmodels) Stata SAS JASP jamovi Mplus AMOS SmartPLS HLM NVivo ATLAS.ti MAXQDA Dedoose EViews Matlab Excel + VBA Tableau Power BI Qualtrics REDCap G*Power Healthcare / Biostatistics Epidemiology Clinical Trials Public Health Nursing Research Psychology Education Business / Management Marketing Finance Economics Engineering Computer Science Environmental Social Sciences Political Science Sociology Anthropology Linguistics Sports Science

We source from: Stat texts: Field (Discovering Statistics), Tabachnick-Fidell, Hair et al (SEM, multivariate), Hayes (PROCESS macro), Pallant (SPSS Survival), Kline (SEM), Wooldridge (Econometrics) • Qual texts: Braun-Clarke (thematic), Charmaz (grounded), Ritchie-Spencer (framework), Smith (IPA) • Reporting: APA, CONSORT, STROBE, COREQ • G*Power for power analysis.

Testimonials

“SEM analysis in AMOS for marketing PhD. Mediation + moderation. Distinction.”

— PhD • Manchester, UK • ★★★★★

“Multilevel modelling in R lme4 for education PhD. Random slope. First.”

— PhD Education • UCL IOE, UK • ★★★★★

“Cox proportional hazards in Stata for clinical trial. Distinction.”

— MD-PhD • Johns Hopkins, USA • ★★★★★

“Thematic analysis in NVivo for nursing PhD. Coding tree + themes. Awarded.”

— PhD Nursing • UNSW, Australia • ★★★★★

“Time-series ARIMA in R for finance MSc. First-class.”

— MSc Finance • LSE, UK • ★★★★★

“Machine-learning classification in Python for CS MSc. Distinction.”

— MSc CS • ETH Zürich, Switzerland • ★★★★★

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FAQs

Who performs the analysis?

PhD statisticians, biostatisticians, econometricians and data scientists. Many actively consulting for academic researchers or industry.

Which software do you use?

Quant: SPSS, R, Python (pandas, statsmodels, scikit-learn), Stata, SAS, JASP, jamovi, Mplus, AMOS, SmartPLS, HLM. Qual: NVivo, ATLAS.ti, MAXQDA, Dedoose. Mixed: integration via above.

Will output be interpreted in plain English?

Yes. Raw output is meaningless without interpretation. We deliver tables + figures + plain-English commentary your supervisor and examiner will understand.

Which analyses are common?

Descriptive, t-tests, ANOVA, chi-square, regression (linear, logistic, multilevel), factor analysis, SEM, time-series, survival analysis, mediation / moderation, ML classification.

Will you provide reproducible code?

Yes. R / Python scripts with comments, Stata do-files, SPSS syntax. All data files, codebooks, output delivered for full reproducibility.

Can you do statistical consultation before analysis?

Yes. Research question ↔ design ↔ analysis plan alignment. Power analysis (G*Power). Pilot data review. Prevents wasting analyses on the wrong question.

Do you use AI?

AI tools (ChatGPT, Copilot) miscalculate statistics and miscite tests. All analyses run by PhD statisticians using validated software, then human-interpreted.

How do I get a quote?

Use the calculator at the top, or share dataset + research questions. Quote in 30 seconds.

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