Data Science Roadmap (12 Months Plan)

Data Science Roadmap (12 Months Plan)

You will get:

• A structured 12-month learning plan to become a Data Scientist from scratch
• Step-by-step monthly modules with curated free resources
• Beginner-friendly approach (no coding or CS background required)
• Guidance on projects, portfolio building, and specialization tracks
• A complete balance of technical, mathematical, and soft skills

Why this roadmap works:

• Designed for absolute beginners, even with no prior coding experience
• Covers Python, SQL, Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision
• Includes real-world projects to showcase on GitHub and LinkedIn
• Saves you time by removing the guesswork of “what to learn next”
• Structured into phases so you can track progress and stay motivated

What’s inside:

Phase 1: Foundational Skills (Months 1-3)

• Python Fundamentals (coding basics, OOP, file handling)
• Data Analysis with Numpy, Pandas, Matplotlib, and Seaborn
• SQL for Data Science (Joins, CTEs, advanced queries)

Phase 2: Core Data Science Concepts (Months 4-6)

• Statistics and Mathematics for Data Science
• Exploratory Data Analysis (EDA) with practical datasets
• Machine Learning basics: Regression, Classification, Clustering

Phase 3: Projects and Specializations (Months 7-12)

• ML Projects: Property Price Prediction, Image Classification
• Deep Learning with Neural Networks, CNNs, RNNs, and LSTMs
• Specialization choice: NLP (Text Analysis, Word2Vec, TF-IDF) or Computer Vision (OpenCV, Image Processing, CNNs)

By the end of 12 months:

• You will have completed multiple end-to-end data science projects
• You will understand Python, SQL, Statistics, ML, DL, NLP, and Computer Vision
• You will have a strong GitHub portfolio and resume-ready skills
• You will be prepared for entry-level data science roles and internships

Total Duration: 12 months (recommended 2–4 hours/day).

Flexible enough to adapt to your own schedule.

This roadmap is perfect for students, job seekers, and professionals looking to switch into data science with a structured and practical plan.