Course Curriculum
Detailed breakdown of topics and learning materials
Introduction to Git
GIT init
Git Branches
Postman, REST & JSON
Introduction to Data Science
Data Science as a multi-disciplinary field: Statistics, Mathematics, Programming, and Domain Expertise. Example: Bioinformatics as a domain combining biology knowledge with data science.
Data Science - Session 2
Why every company (fintech, e-commerce, music streaming) needs Data Scientists. Data Scientist positions, roles, and where the Data Scientist sits in the org. History of Data Science.
Data Science Fundamentals
Core components of Data Science. Why domain expertise is the most important ingredient alongside statistics, math, and programming. Typical tools: Python and R.
Structured vs Unstructured Data & Python
Session 2 Python: ~20% of data is structured (Excel, tables), ~80% is unstructured (images, voice notes, videos, social media posts). How to handle each type in data science.
Data Science Review Session Slides
Review Session Video
Quiz Correction
Meet Your Instructors
Learn from industry experts and experienced professionals
Ibrahim FLEIFEL
Primary Instructor
Software Development
Ibrahim Fleifel is an experienced software engineer and Head of Development Teams at XpertBot OÜ, specializing in fintech, AI, and SaaS platforms. With over 12 years in the tech in...