Statistical Analysis & Machine Learning Services

Statistical Analysis Services

We conduct rigorous statistical testing and data modeling for research, business intelligence, healthcare, finance, and more.

  1. Descriptive & Inferential Statistics
    • Data summarization: Mean, Median, Mode, Variance, Standard Deviation
    • Data visualization: Histograms, Boxplots, Scatterplots
    • Confidence intervals & Margin of error calculations.
  2. Hypothesis Testing & Inferential Analysis
    • Parametric Tests
        1. T-tests (One-sample, Independent samples, Paired samples)
        2. ANOVA (One-way, Two-way, Repeated Measures, Mixed Design)
        3. Regression Analysis (Linear, Multiple, Logistic, Polynomial)
        4. Pearson Correlation Coefficient
        5. Z-tests
    • Non-Parametric Tests
        1. Mann-Whitney U test
        2. Wilcoxon Signed-Rank test
        3. Kruskal-Wallis test
        4. Spearman’s Rank Correlation
        5. Chi-Square Test (Goodness-of-fit, Independence)  
  3. Multivariate & Advanced Techniques

     For complex data relationships and pattern recognition, we offer:

    • Principal Component Analysis (PCA)
    • Factor Analysis (Exploratory & Confirmatory)
    • Cluster Analysis (K-Means, Hierarchical, DBSCAN)
    • Discriminant Analysis
    • Canonical Correlation
    • Structural Equation Modeling (SEM)
  4. Time Series Analysis & Forecasting

     Ideal for financial modeling, sales forecasting, and business intelligence:

    • Autoregressive Integrated Moving Average (ARIMA)
    • Seasonal ARIMA (SARIMA)
    • Holt-Winters Exponential Smoothing
    • Granger Causality Test
    • Durbin-Watson Test (For auto-correlation detection)
  5. Bayesian & Resampling Methods
    • Bayesian Regression & Inference
    • Bootstrap & Jackknife Resampling
    • Monte Carlo Simulations

  6. Survival & Reliability Analysis

    Used in medical research, engineering, and actuarial science:

    • Kaplan-Meier Estimator
    • Cox Proportional Hazards Model
    • Weibull Analysis
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Machine Learning & AI Solutions

We leverage cutting-edge machine learning techniques for predictive modeling, automation, and data-driven decision-making.

  1. Supervised Learning (Predictive Modeling)
    • Linear & Logistic Regression
    • Decision Trees & Random Forests
    • Support Vector Machines (SVM)
    • Gradient Boosting (XGBoost, LightGBM, CatBoost)
    • Neural Networks & Deep Learning (TensorFlow, PyTorch)

  2. Unsupervised Learning (Pattern Detection & Clustering)

    • K-Means Clustering
    • Hierarchical Clustering
    • Principal Component Analysis (PCA)
    • Association Rule Learning (Apriori, FP-Growth)

  3. Natural Language Processing (NLP)

     We provide text mining and sentiment analysis using:

    • Topic Modeling (LDA, LSA, NMF)
    • Named Entity Recognition (NER)
    • Text Classification & Summarization
  4. Deep Learning & Neural Networks
    • Image Recognition (CNNs – Convolutional Neural Networks)
    • Speech Recognition & Processing
    • Recurrent Neural Networks (RNNs, LSTMs)
  5. Time Series Forecasting & Anomaly Detection
    • LSTMs & Transformer-based Models
    • Outlier & Fraud Detection
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Qualitative Data Analysis

For qualitative research in social sciences, healthcare, and business, we offer thematic, content, and discourse analysis using tools like NVivo and MAXQDA.

  • A. Qualitative Research Methods
  • Thematic Analysis – Identifying themes and patterns in qualitative data
  • Content Analysis – Coding and categorizing textual data
  • Grounded Theory – Developing theories from data
  • Phenomenological Analysis – Understanding lived experiences
  • Narrative Analysis – Studying stories and personal experiences
  • Discourse Analysis – Examining language use and communication
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Who We Help

✅ Academic Researchers & PhD Candidates – Thesis support, research design, and statistical analysis.
✅ Businesses & Startups – Market research, predictive analytics, and business intelligence solutions.
✅ Medical & Healthcare Organizations – Clinical trials, epidemiological studies, survival analysis.
✅ Finance & Banking – Risk analysis, fraud detection, investment modeling.
✅ Social Scientists & Government Agencies – Policy evaluation, demographic studies.
✅ E-commerce & Marketing Teams – Customer segmentation, demand forecasting

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