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Data Science & Analyticsgraduate
DS-401

Predictive Analytics

When you finish, you can

Forecast, predict churn, and recommend: build predictive models a business would pay for, and measure their impact in money.

Start hereYou need DS-301. Pick one real dataset with a time dimension early; the capstone builds on it.

9 hours total5 Chapters20 Lessons1 Exams3 CreditsFREE
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Debate a counselor

Take a position on Predictive Analytics. The AI counselor argues the other side, asks you questions back, and cites a source for every fact it states. Sources listed under a reply are the pages it actually found; if none are listed, it is arguing from reasoning only. It is an AI and it can be wrong: check the sources.

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    A room for people taking this course, in any language, translated for every reader. Open breakout rooms for one question at a time.

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    Prerequisites::DS-301 Data Visualization & Communication

    Course Syllabus

    9h total

    Practice

    1. Plot a monthly series and split it into trend, season and noise.
    2. Difference it until it is stationary; confirm with a test.
    3. Fit a seasonal ARIMA and forecast 12 periods with intervals.

    Check

    Your forecast interval is wide enough to be useless. Name two ways to narrow it honestly.

    Topics Covered

    predictionforecastingrecommendations

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