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Data Science & Analyticsintroductory
DS-101

Introduction to Data Science

When you finish, you can

Take a messy spreadsheet from question to clean chart to a written finding, using Python and the tools working data scientists use.

Start hereNo prior coding. Open a free Google Colab notebook and keep it open through the course; everything builds in it.

8 hours total5 Chapters20 Lessons1 ExamsFREE
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Updated · What changed

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 Introduction to Data Science. 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.

    Discuss this course

    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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    Course Syllabus

    8h total

    Practice

    1. Open Colab, import pandas, and load a CSV from the internet in one line.
    2. Write the question you want your first project to answer in one sentence.
    3. List the five workflow stages and what 'done' means for each on your project.

    Check

    What is the difference between a data analyst and a data scientist in one sentence each?

    Topics Covered

    datapythonpandas

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    Questions about this course

    Is this course really free?
    Yes. There is no account, tuition or card. Current University is not accredited and gives no degrees, credit or certificates.
    How long does it take?
    About 8 hours across 5 chapters and 20 lessons, at your own pace.
    What do I need before I start?
    No prior coding. Open a free Google Colab notebook and keep it open through the course; everything builds in it.
    Can I ask questions or disagree with the course?
    Yes. The course has an AI counselor that takes the other side, asks you questions back and lists the sources it used.