Data Science Section (60 Hours):
Section 1: What is Data Science and its Applications
Section 2: Python For Data Science
Section 3: SQL For Data Science
Section 4: Data Analytics Concepts and Tools
Section 5: Machine Learning and Deep Learning in Business
Section 6: How to be a Professional Data Specialist?
Product Section (20 Hours):
Section 1: What is Product Management and Who is Product Manager?
Section 2: Product Development from Zero to Hero
Section 3: How to Identify the User Problems and Solutions?
Section 4: Competitors and market analysis
Section 5: Revenue Models in Business, KPI Definition, A/B Testing
Section 6: Introduction to Google Analytics, Hotjar, and Google Tag Manager as
Monitoring Tools
Section 7: OKR Concepts
Section 8: Communications with StakeHolders and Tech Team (Data and Product)
Section 9: How to be a Professional Product Manager?
Product Design (5 Hours):
Section 1: What is Design thinking?
Section 2: Data in Different Phases for a Product Design (Discovery and
Definition)
Section 3: Data Analysis and product design cooperation