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    Advanced Data Science

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    Comprehensive data science introduction from stats to MLOps.

    24 content steps
    6 quizzes
    ~450 minutes
    Popular

    Journey Overview

    Preview what you'll learn in this journey

    Journey Steps

    Preview
    1

    Content Step 1

    Content
    Data science project lifecycle and framing
    2

    Content Step 2

    Content
    Data collection, quality, and governance
    3

    Content Step 3

    Content
    Exploratory data analysis and visual profiling
    4

    Content Step 4

    Content
    Statistical inference and hypothesis testing
    5

    Quiz 5

    Quiz
    Checkpoint Quiz
    6

    Content Step 6

    Content
    Linear and logistic regression with regularization
    7

    Content Step 7

    Content
    Feature engineering and selection
    8

    Content Step 8

    Content
    Model validation and cross-validation
    9

    Content Step 9

    Content
    Evaluation metrics for classification and regression
    10

    Quiz 10

    Quiz
    Checkpoint Quiz
    11

    Content Step 11

    Content
    Handling imbalanced datasets
    12

    Content Step 12

    Content
    Tree-based models and ensembles
    13

    Content Step 13

    Content
    Unsupervised learning: clustering and dimensionality reduction
    14

    Content Step 14

    Content
    Time series forecasting basics
    15

    Quiz 15

    Quiz
    Checkpoint Quiz
    16

    Content Step 16

    Content
    NLP basics: tokenization and embeddings
    17

    Content Step 17

    Content
    Recommender systems fundamentals
    18

    Content Step 18

    Content
    Deep learning overview and when to use it
    19

    Content Step 19

    Content
    Experiment tracking and reproducibility
    20

    Quiz 20

    Quiz
    Checkpoint Quiz
    21

    Content Step 21

    Content
    Pipelines and feature stores
    22

    Content Step 22

    Content
    Deployment patterns: batch, online, streaming
    23

    Content Step 23

    Content
    MLOps: CI/CD, monitoring, and drift
    24

    Content Step 24

    Content
    Model explainability and fairness checks
    25

    Quiz 25

    Quiz
    Checkpoint Quiz
    26

    Content Step 26

    Content
    Privacy-preserving ML (DP, FL) basics
    27

    Content Step 27

    Content
    Cost management for data workflows
    28

    Content Step 28

    Content
    Real-world case study end-to-end
    29

    Content Step 29

    Content
    Portfolio and next steps
    30

    Quiz 30

    Quiz
    Checkpoint Quiz

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