No, supervised ML is not a requirement.Basic Python and NumPy knowledge is sufficient.Prior exposure to supervised ML may speed up ...
Yes, clustering is widely used in customer segmentation.Methods like K-Means and GMM can group customers by behavior.You can preprocess raw ...
It builds strong intuition for handling unlabeled data.Covers clustering math and algorithm design.Prepares you for anomaly detection, ...
Python 3.x (latest stable version recommended).Libraries: NumPy, SciPy, Matplotlib, seaborn.Jupyter Notebook for running experiments....
Yes, clustering is a core data science skill.Helps in roles like Data Analyst, ML Engineer, Researcher.Employers value candidates who ...
Basic SQL knowledge is required.Familiarity with SQL Server environment is recommended.No advanced DBA expertise needed to start....
Covers query tuning and execution plan analysis.Teaches indexing and statistics management.Hands-on demos included for diagnosing slow ...
Prepares for Database Administrator (DBA) roles.Enhances Data Engineer and Backend Developer skillsets.Valuable for Business Intelligence ...
Real query optimization demonstrations.Practice with indexing strategies.Case-based learning from common performance issues.No single ...
Total duration: ~6–8 hours of video content.Practice exercises may extend completion time.Flexible pacing, self-directed learning.Most ...
