Covers Python-based data science workflow from data wrangling to ML modeling.Provides hands-on projects and real datasets to build a portfolio. ...
Teaches regression, classification, and clustering algorithms.Covers training, evaluating, and deploying models using Scikit-learn.Includes ...
Basic Python knowledge is recommended but not mandatory.Introduces Python basics, data types, functions, and file handling.Gradually ...
Includes end-to-end projects using real datasets in Jupyter Notebooks.Teaches analysis, visualization, and model deployment workflows....
Teaches EDA and data visualization with Matplotlib and Seaborn.Covers descriptive statistics, probability distributions, and hypothesis ...
Prepares learners for the CSM® exam with hands-on simulations and sample questions.Covers Scrum principles, roles, events, and artifacts in ...
Covers leadership techniques for Scrum teams and cross-functional collaboration.Teaches facilitation of Agile ceremonies and sprint execution ...
Designed for beginners with no prior Scrum experience.Starts with Agile fundamentals and Scrum basics before progressing to advanced topics....
Teaches creating, refining, and prioritizing product backlogs.Covers writing user stories and defining acceptance criteria.Provides ...
Covers scaling Scrum using Scrum of Scrums and communication plans.Teaches best practices for distributed and remote Agile teams.Provides ...
