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FIELD SHEET / data-science

Data Scientist Roadmap

advanced6-12 months4 stages
MARKED60%

Before this route

Basic PythonStatistics
A / STAGESRead in order, revisit as needed

Walk the sequence.

  1. 01

    Stage 1: Foundation

    • Mathematics & Statistics
    • Linear algebra
    • Probability theory
    • Statistical methods
    • Programming
    • Python fundamentals
    • NumPy & Pandas
    • Data visualization
    • Database & SQL
    • Database concepts
    • SQL queries
    • Database optimization
  2. 02

    Stage 2: Data Analysis

    • Exploratory Data Analysis
    • Data cleaning
    • Feature engineering
    • Statistical analysis
    • Visualization
    • Matplotlib & Seaborn
    • Interactive plots
    • Dashboard creation
    • Reporting
    • Business intelligence
    • Data storytelling
    • Presentation skills
  3. 03

    Stage 3: Machine Learning

    • ML Fundamentals
    • Supervised learning
    • Unsupervised learning
    • Model evaluation
    • ML Algorithms
    • Regression models
    • Classification algorithms
    • Clustering
    • Tools & Libraries
    • Scikit-learn
    • TensorFlow/PyTorch
    • MLflow
  4. 04

    Stage 4: Advanced Topics

    • Deep Learning
    • Neural networks
    • CNNs
    • RNNs
    • Big Data
    • Hadoop
    • Spark
    • Cloud platforms
    • MLOps
    • Model deployment
    • Monitoring
    • Version control

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