← Back to Courses
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 Exams3 CreditsFREE
Start This CourseFree. No account required.

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.

    What changed

    Loading…

    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.

    Enter the course room

    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

    Ready to start?

    Free. No account required. Progress saves in this browser — no account exists.

    Start This Course