8-Step Data Science Roadmap 2026 | AI & Machine Learning | #shorts

Data is the new oil. Follow this 8-step Data Science roadmap to master statistics, Python, machine learning, and deep learning, setting yourself up for one of the highest-paying roles in tech. Learn more here: https://youtu.be/blMufq1s29I What are the prerequisites for Data Science? You cannot skip the math. Step 1 is building a strong foundation in Math & Statistics (linear algebra, probability). Step 2 is learning the necessary Programming languages, primarily Python for logic and SQL for extracting data from databases. How do I analyze data and build models? Step 3 involves Data Handling & Exploratory Data Analysis (EDA) using libraries like Pandas to clean and visualize raw data. Step 4 introduces Core Machine Learning Concepts (regression, clustering), followed by Step 5, where you tackle advanced Deep Learning & NLP to build complex neural networks. What separates a beginner from a professional? Professionals know how to deploy their work. Step 6 introduces Deployment & MLOps basics so your models can run in production. Finally, you must synthesize these skills into Practical Projects and build a standout Portfolio to land your first role. #scaler #datascience #roadmap ______________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: http://bit.ly/3UPH9b6 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one-of-a-kind WhatsApp community: https://whatsapp.com/channel/0029VbAiMGz3mFY3P62qHx3X 🔔 Hit that bell icon