This advanced program takes you from theory to production over 12 focused weeks. Designed by industry practitioners, the Statistics for Data Science crash course blends live-style lessons, real-world assignments, and a graded capstone. By the end you'll have a portfolio-ready project, deep AI & Data Science expertise, and a QR-verifiable completion certificate recognized by hiring partners.
4.7 rating42,306 students8h / weekInstructor: Priya Sharma
Statistics for Data ScienceDocumentationAutomationProject Work
12-Week Curriculum
Week 1: Orientation, Tooling & Environment Setup
Self-paced · Week 1 of 12 · Assessment: 80% to pass
Week 2: Core Concepts & Fundamentals
Self-paced · Week 2 of 12 · Assessment: 80% to pass
Week 3: Building Your First Project
Self-paced · Week 3 of 12 · Assessment: 80% to pass
Week 4: Intermediate Techniques
Self-paced · Week 4 of 12 · Assessment: 80% to pass
Week 5: Working with Real-World Data
Self-paced · Week 5 of 12 · Assessment: 80% to pass
Week 6: Architecture & Best Practices
Self-paced · Week 6 of 12 · Assessment: 80% to pass
Week 7: Performance & Optimization
Self-paced · Week 7 of 12 · Assessment: 80% to pass
Week 8: Testing & Quality Assurance
Self-paced · Week 8 of 12 · Assessment: 80% to pass
Week 9: Security & Reliability
Self-paced · Week 9 of 12 · Assessment: 80% to pass
Week 10: Deployment & Operations
Self-paced · Week 10 of 12 · Assessment: 80% to pass
Week 11: Capstone Project Build
Self-paced · Week 11 of 12 · Assessment: 80% to pass
Week 12: Portfolio, Review & Certification Prep
Self-paced · Week 12 of 12 · Assessment: 80% to pass