This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.
This is the only Six Sigma Yellow Belt Certification course that covers all the 15 steps of the Six Sigma Yellow Belt DMAIC roadmap comprehensively, which are needed to be successful in the competitive market. You learn using a project-based approach: the Six Sigma Yellow Belt project evolves as you progress through this Six Sigma Yellow Belt training.