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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 ExamsFREE
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How this course updates itself

Every day we scan the latest information in every field. We share with you what we think is a change as we go through regular course curriculum work, so it's the most current thing possible.

Nothing in the news has changed what this course teaches. The daily scan last checked it on ; when something does change, a dated note with sources appears here.

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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