Data Science Roadmap for Beginners

Confused about how to get started in Data Science? Whether you’re a fresh graduate trying to enter the field or a professional looking to switch careers, this webinar will help you understand what to learn, what to prioritize, and how to build a realistic path into Data Science.

In this session, we’ll break down:

🧭 The Data Science landscape — Data Analyst vs Data Scientist vs ML roles and what each role actually involves

📚 What you need to learn — Statistics, Machine Learning, Python, SQL, and other essential skills

🎯 How to prioritize your learning — What matters most when you’re starting out and what you can skip initially

💼 Getting your first opportunity — How to approach internships, entry-level roles, and career switches

📂 Projects & Resume — What makes a project valuable and how to demonstrate your skills without prior experience

🗺️ Building your roadmap — A practical step-by-step approach to go from beginner to job-ready

❌ Common mistakes to avoid — Things that often waste time when trying to break into Data Science

This is not just another list of courses or technologies to learn. The goal is to help you understand why each skill matters and give you a clear direction based on your current background and career goal.

Ideal for:

🎓 Students & fresh graduates

🔄 Professionals considering a career switch

🌱 Beginners with little or no Data Science experience

🤔 Anyone overwhelmed by the amount of information and unsure where to start

By the end of the webinar, you should have a clearer understanding of the field, the skills you need, and the next steps you can take to start your journey into Data Science.