Description
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Want to become a Data Scientist in 2026–27? Follow this complete Data Science Roadmap for Beginners and learn the essential skills, tools, technologies, and projects you need to build a career in Data Science.
In this video, we'll walk you through a step-by-step Data Science learning path, starting with Python programming and SQL and moving towards Machine Learning, Deep Learning, Generative AI, and real-world project development.
What You'll Learn in This Data Science Roadmap:
Introduction to Data Science
- Python Programming & Mathematical Foundations
- SQL & Exploratory Data Analysis (EDA)
- Machine Learning Algorithms
- Deep Learning & Neural Networks
- Generative AI, LLMs & RAG
- Time Series Forecasting & Anomaly Detection
- Industry Tools, Cloud & MLOps
- 5 Essential Data Science Projects
- Data Science Career Options
- Interview Preparation & Job Applications
Tools & Technologies Covered:
Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, Power BI, Tableau, Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, Streamlit, AWS, Azure, Google Cloud and MLflow.
Projects You Should Build:
1. Customer Churn Prediction
2. Sales Forecasting System
3. Customer Segmentation
4. Sentiment Analysis Application
5. RAG-Based AI Assistant
Whether you're a college student, fresher, working professional, or someone planning a career switch, this roadmap will help you understand what to learn and how to prepare for Data Science opportunities.
#DataScience #DataScienceRoadmap #DataScience2026 #MachineLearning #GenerativeAI