This course is designed for all kinds of individuals who are pursuing their PhD / M.Phil of any discipline and who wish to develop their thesis using python and submit this as part of their course completion.
Two different full-fledged projects will be taught step by step covering entire data product development stages including identifying the variable types, data categories, univariate analysis, bivariate analysis, multivariate analysis based on the type of variables and the distribution of data, various statistical methods with non-parametric testing, parametric testing, related hypothesis testing, data visualizations, interpretations, Missing Value treatment, Outlier treatment and Model Development and Evaluation Metrics in Python for Researchers
Feature Engineering and further upskilling with model evaluation metrics with the chosen model, ensembling models in such a way one can add to their profile towards the course end.
Interpretations for each analysis will be dealt with in detail.
Research tips will be given throughout the course to successfully complete one's thesis.
This would enable them to kick start with the job in the same field with an unbelievable package.