Master Data Science in 2025

A comprehensive roadmap to become a professional Data Science Developerfrom beginner to advanced levels

Data Science Roadmap

Master data science with structured steps, from statistics and Python to machine learning and real-world projects

1. Math & Stats Fundamentals

  • Statistics: Descriptive & Inferential
  • Probability Theory
  • Linear Algebra Basics
  • Calculus for ML (optional)
  • Hypothesis Testing

2. Python for Data Science

  • Python Basics: Variables, Loops
  • Functions, OOP, File Handling
  • NumPy for numerical operations
  • Pandas for data manipulation
  • Matplotlib & Seaborn for plotting

3. Data Wrangling & EDA

  • Cleaning messy data
  • Handling missing values
  • Data transformation
  • EDA: visual + statistical
  • Feature engineering

4. Machine Learning Essentials

  • Supervised vs Unsupervised ML
  • Linear Regression, KNN, SVM
  • Decision Trees, Random Forest
  • Clustering (KMeans, DBSCAN)
  • Model Evaluation Metrics

5. Deep Learning Introduction

  • What is Deep Learning?
  • Neural Network Architecture
  • Activation Functions
  • Intro to TensorFlow & Keras
  • Training and Overfitting

6. Data Visualization & Storytelling

  • Advanced charts with Seaborn
  • Dashboards with Plotly & Tableau
  • Effective Data Presentation
  • Interactive Visualizations
  • Design Thinking for dashboards

7. Deployment & Cloud

  • Saving and Loading Models
  • Flask for REST APIs
  • Model Deployment on Streamlit
  • Intro to AWS / GCP for ML
  • Docker Basics

8. Ethics, Bias & Fairness

  • Understanding Model Bias
  • Data Privacy & GDPR
  • Interpretability Tools (SHAP, LIME)
  • Fair ML Practices
  • AI for Social Good

9. Real-World Projects

  • Sales Forecasting
  • Customer Segmentation
  • Image Classifier App
  • Fraud Detection System
  • NLP-based Resume Screener

10. Portfolio & Career Path

  • Build a GitHub Portfolio
  • Write Case Studies
  • Upload to Kaggle / Medium
  • Resume + LinkedIn for Data Roles
  • Apply to internships/jobs

Learning Resources

Curated collection of the best tutorials, courses, and articles to help you master Data Science

Data Science Course Beginner

Complete Data Science Course

By Edureka - Comprehensive Data Science training covering all fundamental concepts.

15 hours Video
Watch
Penetration Testing Intermediate

Penetration Testing

By The Cyber Mentor - Practical penetration testing techniques and methodologies.

8 hours Video
Watch
Web Security Intermediate

Web Application Security

By HackerSploit - Web security and bug hunting techniques with practical examples.

6 hours Video
Watch
Network Security Beginner

Network Security

By NullByte - Network hacking techniques and security measures explained clearly.

4 hours Video
Watch
Malware Analysis Advanced

Malware Analysis

By OALabs - Practical malware analysis techniques and reverse engineering.

5 hours Video
Watch
Reverse Engineering Advanced

Reverse Engineering

By LiveOverflow - Reverse engineering fundamentals with practical examples.

7 hours Video
Watch

About This Roadmap

This roadmap was carefully crafted by experts to provide the most effective path to becoming an successful developer

The Data Science Roadmap is designed to take you from absolute beginner to job-ready Data Science professional through a structured, hands-on approach.

Key Features

  • Comprehensive coverage of all Data Science domains
  • Practical labs and exercises at each stage
  • Curated resources from the best security professionals
  • Progress tracking to keep you motivated
  • Regular updates to stay current with security trends

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