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    Data Scientist Roadmap

    Complete learning path

    8-14 Months
    Advanced
    β‚Ή8-30 LPA
    8 Phases

    Overview

    This roadmap guides you to become a Data Scientist. You'll master Python, statistics, data analysis, machine learning, and business communication. Designed for beginners, completable in 8-14 months with 3-4 hours daily.

    Prerequisites

    Basic math knowledge

    Outcome

    Data Scientist Role

    Resources

    Mostly free resources

    Learning Phases

    1

    Python Programming

    4-6 weeks

    Master Python, the primary language for data science work.

    Skills to Learn

    • β˜…
      Python Fundamentals
    • β˜…
      Data Structures (lists, dicts, sets)
    • β˜…
      Functions & Lambda Expressions
    • β˜…
      File Handling & I/O
    • β—†
      Object-Oriented Programming
    • β—†
      Error Handling
    • β—‹
      Virtual Environments

    Resources

    • Python.org Tutorial
      Free
    • Kaggle Python Course
      Free
    • Automate the Boring Stuff
      Free

    Projects to Build

    • β†’CLI Data Processor
    • β†’File Organizer Script
    • β†’Web Scraper
    2

    Statistics & Mathematics

    6-8 weeks

    Build strong mathematical foundations for data analysis.

    Skills to Learn

    • β˜…
      Descriptive Statistics
    • β˜…
      Probability Theory
    • β˜…
      Inferential Statistics
    • β˜…
      Hypothesis Testing
    • β—†
      Linear Algebra Basics
    • β—†
      Regression Analysis
    • β—‹
      Bayesian Statistics

    Resources

    • Khan Academy Statistics
      Free
    • StatQuest YouTube
      Free
    • Think Stats Book
      Free

    Projects to Build

    • β†’Statistical Analysis Report
    • β†’A/B Test Analysis
    • β†’Survey Data Analysis
    3

    Data Manipulation & Analysis

    4-6 weeks

    Learn to clean, transform, and analyze data effectively.

    Skills to Learn

    • β˜…
      NumPy for Numerical Operations
    • β˜…
      Pandas for Data Manipulation
    • β˜…
      Data Cleaning Techniques
    • β˜…
      Handling Missing Data
    • β˜…
      Data Transformation
    • β˜…
      Exploratory Data Analysis
    • β—†
      Working with Dates & Times

    Resources

    • Pandas Documentation
      Free
    • Kaggle Pandas Course
      Free
    • Python for Data Analysis Book
      Free

    Projects to Build

    • β†’Data Cleaning Pipeline
    • β†’EDA on Real Dataset
    • β†’Automated Data Report
    4

    Data Visualization

    3-4 weeks

    Create compelling visualizations to communicate insights.

    Skills to Learn

    • β˜…
      Matplotlib
    • β˜…
      Seaborn
    • β—†
      Plotly for Interactive Charts
    • β—†
      Dashboard Creation
    • β—†
      Storytelling with Data
    • β—‹
      Tableau/Power BI

    Resources

    • Matplotlib Gallery
      Free
    • Seaborn Tutorial
      Free
    • Storytelling with Data
      Paid

    Projects to Build

    • β†’Interactive Dashboard
    • β†’Data Story Presentation
    • β†’Visualization Portfolio
    5

    SQL & Databases

    3-4 weeks

    Master SQL for data extraction and database management.

    Skills to Learn

    • β˜…
      SQL Queries (SELECT, JOIN, GROUP BY)
    • β˜…
      Subqueries & CTEs
    • β˜…
      Window Functions
    • β—†
      Database Design Basics
    • β—†
      PostgreSQL/MySQL
    • β—‹
      NoSQL Basics (MongoDB)

    Resources

    • SQLBolt
      Free
    • Mode SQL Tutorial
      Free
    • Kaggle SQL Course
      Free

    Projects to Build

    • β†’Database Design Project
    • β†’Complex Query Analysis
    • β†’ETL Pipeline
    6

    Machine Learning

    8-10 weeks

    Learn ML algorithms and build predictive models.

    Skills to Learn

    • β˜…
      Scikit-learn Library
    • β˜…
      Supervised Learning
    • β˜…
      Unsupervised Learning
    • β˜…
      Feature Engineering
    • β˜…
      Model Evaluation & Validation
    • β—†
      Ensemble Methods
    • β—†
      Hyperparameter Tuning

    Resources

    • Scikit-learn Documentation
      Free
    • Google ML Crash Course
      Free
    • Hands-On ML Book
      Paid

    Projects to Build

    • β†’Prediction Model
    • β†’Classification System
    • β†’Kaggle Competition
    7

    Deep Learning Basics

    4-6 weeks

    Introduction to neural networks and deep learning frameworks.

    Skills to Learn

    • β˜…
      Neural Network Fundamentals
    • β˜…
      TensorFlow/Keras
    • β—†
      CNNs for Image Data
    • β—†
      RNNs for Sequential Data
    • β—†
      Transfer Learning
    • β—‹
      NLP Basics

    Resources

    • TensorFlow Tutorials
      Free
    • Deep Learning Specialization
      Freemium
    • Fast.ai Course
      Free

    Projects to Build

    • β†’Image Classifier
    • β†’Text Classification
    • β†’Time Series Forecasting
    8

    Business & Communication

    2-4 weeks

    Develop skills to communicate insights to stakeholders.

    Skills to Learn

    • β˜…
      Data Storytelling
    • β˜…
      Presentation Skills
    • β˜…
      Business Metrics & KPIs
    • β—†
      A/B Testing
    • β—†
      Stakeholder Management
    • β—†
      Domain Knowledge

    Resources

    • Storytelling with Data
      Paid
    • Data Science for Business
      Paid

    Projects to Build

    • β†’Business Case Study
    • β†’Executive Dashboard
    • β†’Impact Analysis Report
    All RoadmapsData Analyst Roadmap