Curriculum Outline

TOPIC LECTURES TOTAL DURATION
Beginner Modules 48 16 Weeks (4 Months)
• Tableau + Excel 12 4 Weeks (1 Month)
• SQL 12 4 Weeks (1 Month)
• Beginner Python 24 8 Weeks (2 Months)
Data Analysis and Visualization¹ 48 16 Weeks (4 Months)
• Python libraries 12 4 Weeks (1 Month)
• Probability and Applied Statistics 24 8 Weeks (2 Months)
• Product Analytics 12 4 Weeks (1 Month)
Foundation of Machine Learning and Deep Learning² 36 12 Weeks (3 Months)
• Advanced Python 12 4 Weeks (1 Month)
• Math for Machine Learning 12 4 Weeks (1 Month)
• Introduction to Neural Networks and Machine Learning 12 4 Weeks (1 Month)
Machine Learning 36 12 Weeks (3 Months)
• Machine Learning 1: Supervised 24 8 Weeks (2 Months)
• Machine Learning 2:Unsupervised and Recommended systems 12 4 Weeks (1 Month)
OR/AND²
Deep Learning 36 12 Weeks (3 Months)
• Neural Networks 12 4 Weeks (1 Month)
• Computer Vision 12 4 Weeks (1 Month)
• Natural Language Processing 12 4 Weeks (1 Month)
ADDITIONAL MODULES 60 20 Weeks (5 Months)
• Machine Learning Ops³ 12 4 Weeks (1 Month)
• Advanced Data Structure and Algorithms 48 16 Weeks (4 Months)