I'm willing to assist in different applied and pure course of Statistics, Econometrics, Business Statistics and Bio-statistics such as, Applied Statistics, Time series Analysis, Survey Sampling, Econometrics, Quantitative Data Analysis, R Programming, Statistical Packages, Probability and Statistics, Statistical Inference, Parametric and Non Parametric Statistics, Regression Analysis etc. Currently I am willing to support students and professionals in their assignments/task and data analysis projects and research work.

Its a beginner course, In this class you will study all basic topics of statistics step by step such as , organization of data numerically and graphically, descriptive statistics, dispersion, probability, correlation, regression analysis, hypothesis testing, Parametric and non parametric test etc. or any other according to your requirement.

If you are worry about your research project/paper, dissertation data analysis in any field of study then stop now. Your are now with data scientist and I have advance skill on basic and advance analysis. My High Skilled areas in statistics and Data analysis are: Econometric models: Regression Analysis and Model Diagnostics (Heteroskedasticity, Autocorrelation, Multicollinearity etc), Dummy Variables, Nonlinear Regression models Time Series Modeling such as AR, MA, ARIMA, Vector Autoregressions, Unit roots, and Cointegration, ARCH, GARCH, EGARCH, GARCH-type models, Switching Models, Panel Data Analysis (Fixed and Random effect), ADRL and NADRL Model, Simulation methods etc Biostatistics: Measurement and types of studies, frequency distributions, summary statistics, Hypothesis testing & confidence interval, Parametric and non parametric tests, discrete and continuous distribution, Cross table analysis, categorical data analysis, regression & correlation, Logistic regression, GLMs, Mata analysis etc. Statistical Inference and estimation pure and applied. Probability and statistics Statistical Quality Control Survey Sampling Pure and Applied

If you are worry about Regression analysis then don't worry about it, I am here to assist you step by step. I will guide you from data and two variable regression model to multiple variable regression model. In this class we will discuss basic assumption of regression model or model diagnostics and fitting of regression model, inference of model estimate etc. We will extend our class to dummy variable regression, panel regression for fixed and random effect model or according to your requirement.