Course curriculum

    1. Learning goals

    1. What is data science

    2. The success of Netflix

    1. Short history

    2. Trends in the market

    3. Value chain of data science

    1. Types of analysis

    2. Descriptive vs. Predictive

    3. Challenges - data quality

    4. Challenges - risk sensitive applications

    5. Challenges- ethics & privacy

    1. Supervised learning

    2. Unsupervised learning

    3. Reinforcement learning

    4. Linear regression

    5. Decision trees

    1. Uncovering data science product

    2. Building models with Rapidminer

About this course

  • Free
  • 18 lessons
  • 0 hours of video content

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