About
This 6-week, self-paced course is designed to help aspiring and experienced Data Scientists excel in technical interviews at top companies. Covering Python, SQL, Machine Learning, Deep Learning, Probability & Statistics and System Design, it includes coding challenges, case studies, mock interviews and system design questions to ensure thorough preparation. The course starts with an overview of the interview process, outlining phone screens, technical coding rounds, ML system design and behavioral assessments. You’ll enhance your Python skills with algorithmic challenges, time complexity analysis and concurrency concepts. The SQL module focuses on advanced queries, optimizations and real-world database problems. Next, you’ll master Probability, Statistics and A/B Testing, covering hypothesis testing, probability distributions and experiment design. The Machine Learning module delves into core algorithms, hyperparameter tuning, feature engineering and model evaluation. In Deep Learning, you'll build neural networks, optimize models and implement transformers. The System Design module teaches scalable ML pipelines, model deployment and real-time processing. The Behavioral and Soft Skills section helps you navigate non-technical rounds using the STAR method and case study presentations. Finally, the Mock Interviews & Final Project provide real interview simulations and a portfolio-worthy ML project. This course features real-world case studies, quizzes, coding challenges and a final project to give you a competitive edge. By the end, you'll be fully prepared to ace data science interviews and land your dream job!