Beginner → Intermediate · Data & AI

Introduction to Data Science

The end-to-end workflow: asking questions, cleaning and exploring data, the statistics you need, basic modeling, and communicating results ethically.

Course by Prof. Hana YusufVerified creator
5 chapters15 lessons2 hr 5 min15 quick checks
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How this course works

The chapters and lessons below are the fixed course structure. When you start, LearnLive teaches each lesson interactively and adapts examples, pacing, and questions to you.

Complete syllabus

Every chapter and lesson

  1. 01

    Chapter 1 · 3 lessons

    The Data Science Process

    1. 1.1

      What data science is

      8 min · Quick check

    2. 1.2

      The data science workflow

      8 min · Quick check

    3. 1.3

      Asking good questions

      8 min · Quick check

  2. 02

    Chapter 2 · 3 lessons

    Working with Data

    1. 2.1

      Data types & sources

      8 min · Quick check

    2. 2.2

      Cleaning & wrangling

      9 min · Quick check

    3. 2.3

      Exploratory data analysis

      9 min · Quick check

  3. 03

    Chapter 3 · 3 lessons

    Statistics for Data Science

    1. 3.1

      Descriptive statistics

      8 min · Quick check

    2. 3.2

      Probability & distributions

      9 min · Quick check

    3. 3.3

      Inference & sampling

      8 min · Quick check

  4. 04

    Chapter 4 · 3 lessons

    Modeling

    1. 4.1

      Correlation & regression

      9 min · Quick check

    2. 4.2

      Classification basics

      8 min · Quick check

    3. 4.3

      Evaluating models

      8 min · Quick check

  5. 05

    Chapter 5 · 3 lessons

    Communicating & Ethics

    1. 5.1

      Telling stories with data

      8 min · Quick check

    2. 5.2

      Reproducibility

      8 min · Quick check

    3. 5.3

      Data ethics & bias

      9 min · Quick check

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