Exploratory Data Analysis, Classification, Cluster Analysis, Regression Modeling, Probability and Stochastic Processes, Data Visualization, Pattern Recognition, Time Series Analysis, Forecasting, Bayesian Methods, Panel Data, Multivariate Analysis Statistical, Inference, Directional Statistics, Design of Experiments, Big Data, Operations Research, Linear Programming, Game Theory, Graph Theory, MCDM Model, Fuzzy Logic, Decision Tree, Markov Model, Optimization Model, Montecarlo Simulation, Machine Learning, Computer Vision, Deep Learning, Computational Intelligence, Genetic Algorithm, Ensemble Techniques, Natural Language Processing, Dimensionality Reduction, Hyper Parameter Optimization, Association Role Mining, Text Minig, Anamoly Detection.  

Researchers are encouraged to go beyond the tools and techniques mentioned above, embracing a wider spectrum of methodologies in data analytics and AI research to unlock fresh perspectives and drive innovations.