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This roadmap guides learners in India from beginner to advanced Data Scientist roles. It includes mathematics, Python, machine learning, statistics, data engineering basics, SQL, analytics, deep learning, deployment, and real industry projects. Designed for students, career switchers, and working professionals.
Build the core analytical foundation required for Data Science — Python, Math, Statistics, and Problem-Solving.
Master Python basics, data types, loops, functions, OOP, file handling, and Pythonic thinking.
Understand distributions, hypothesis testing, p-values, ANOVA, probability rules, confidence intervals, and descriptive stats.
Learn data cleaning, data manipulation, vectorization, grouping, merging, pivot tables, and data visualization.
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