Data Analysis Services
Professional statistical consulting, advanced analytics, and research support for academic, business, and organizational success
Cross-Sectional Data Analysis
Linear Models
Limited Dependent Variable Models
Count Data Models
Censored and Truncated Models
Instrumental Variable Models
Robust and Generalized Models
Dimension Reduction Techniques
Classification and Grouping Techniques
Mean Comparison Techniques
Non-Parametric Methods
Structural Equation Modeling
Survival analysis model
Biostatistics & Epidemiology methods
Quality control methods
Multivariate analysis
Time Series Data Analysis
Classical (Deterministic & Decomposition Models)
Univariate Stochastic Models (Box–Jenkins)
Exponential Smoothing Methods
Multivariate Time Series Models
Volatility Models (Financial Time Series)
State Space & Structural Models
Frequency Domain Models
Nonlinear Time Series Models
Long Memory Models
Bayesian Time Series Models
Intervention & Transfer Function Models
Cointegration Models
Panel Data Analysis
Basic Panel Data Models (Pooled)
Model Selection Tests
Dynamic Panel Data Models (GMM)
Panel Models with Limited Dependent Variables
Panel Cointegration Models (Long-run relationships)
Error Correction Models (Panel ECM)
Heterogeneous Panel Models (ARDL)
Panel Time Series Models (VAR)
Spatial Panel Models
Nonlinear Panel Models
Quantile Panel Models
Robust and Corrected Models
Machine Learning Models
Supervised Learning Models
Unsupervised Learning Models
Semi-Supervised Learning Models
Reinforcement Learning Models
Neural Networks (Deep Learning)
Probabilistic & Graphical Models
Other Important Models
Qualitative Analysis
Thematic Analysis
Content Analysis
Narrative Analysis
Discourse Analysis
Grounded Theory Analysis
Interpretative Phenomenological Analysis (IPA)
Ethnographic Analysis
Case Study Analysis
M&E Methods
Logical Framework Analysis (LogFrame)
Results-Based Monitoring and Evaluation (RBM)
Theory of Change (ToC) Analysis
Indicator Performance Tracking
Before–After (Pre–Post) Evaluation
Difference-in-Differences (DiD) Impact Evaluation
Propensity Score Matching (PSM)
Regression Discontinuity Design (RDD)
Randomized Controlled Trials (RCT) Evaluation
Cost–Benefit Analysis (CBA)
Cost-Effectiveness Analysis (CEA)
Outcome Mapping and Impact Assessment
Data Analysis Software
SPSSStataRPython (NumPy, Pandas, SciPy)SASEViewsSmartPLS-SEMMATLABMinitabGretlJMPExcelTableauPower BIDEAPGenstatStatisticaQGISPanel checkSQLHadoopAMOSNVivoATLAS.tiMAXQDA
Data Analysis Process
1
Initial Consultation & Requirement Gathering
2
Concept Note Development (Research Clients)
3
Research Design & Proposal Support
4
Data Collection Support
5
Data Cleaning & Preparation
6
Exploratory Data Analysis (EDA)
7
Statistical / Advanced Analysis
8
Data Visualization & Dashboard Development
9
Interpretation of Results
10
Report Writing / Thesis Writing
11
Plagiarism & Grammar checker
12
Reference style manager
13
Review & Quality Assurance
14
Final Submission
15
Post-Delivery Support
Training Programs
Research Methods Training
Quantitative Data Analysis Training
Statistical Software Training
Qualitative Data Analysis Training
Machine Learning & Advanced Analytics
Data Visualization & Dashboard Training
Academic Writing Support Training
Survey Design & Data Collection Tools
Data Management & Cleaning
Econometrics Data Analysis
Monitoring & Evaluation Consultation
Professional & Business Consultancy Training