Khan AcademyFree Video

Categorical Data Analysis: Free Course

Free Khan Academy video course on Categorical Data Analysis. Study all 8 source recordings with an on-site lesson list and completion tracking.

Every occurrence follows the published source playlist order; original titles, supplemental clips and literal repeated entries are retained.

Video 1 of 8 2:25

Meet Jeff, a creator of AP Statistics on Khan Academy | AP Statistics | Khan Academy

Before you start

Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.

About this course

Categorical data describe groups and attributes rather than numerical measurements. This course uses tables, bar charts and conditional distributions to organize those observations and compare groups. Study the complete public source playlist from Khan Academy in English, with all 8 recordings available in the on-site classroom. Lessons retain their original titles and source order, including worked examples, introductions and repeated entries.

Course at a glance

Provider / Teaching team Khan Academy
Platform YouTube · Khan Academy
Access Free Video
Level Beginner
Language English
Videos 8
Video duration 25m · allow extra time for practice
Format Self-paced recorded training
Certificate Not included with video viewing

What you’ll learn

  • Identify individuals and categorical variables in a dataset.
  • Construct and interpret two-way frequency tables.
  • Distinguish marginal from conditional distributions.
  • Compare groups using relative frequencies, bar charts and Venn diagrams.

Skills you’ll gain

  • Categorical variables
  • Two-way tables
  • Conditional proportions
  • Bar charts

Course Overview

The source begins with a brief creator introduction, retained alongside every instructional recording. The main lessons identify individuals and variables, then use two-way frequency tables to organize two categorical attributes at once. Relative-frequency tables change counts into proportions, making the choice of denominator central to interpretation. Marginal distributions summarize one variable, whereas conditional distributions describe it within a selected group. Bar charts support comparisons visually, and Venn-diagram examples provide another representation of overlapping categories. The sequence is a focused introduction to organizing and reading categorical data; it does not claim to supply a complete statistical-inference curriculum. When comparing groups of different sizes, explain whether a count or a proportion answers the question and label the conditioning group explicitly.

How to study the course

  • Videos 1–2: this part of the source list includes “Meet Jeff, a creator of AP Statistics on Khan Academy” through “Marginal and conditional distributions”. Define the question and the observations. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
  • Videos 3–4: this part of the source list includes “Identifying individuals, variables and categorical variables in a data set” through “Interpreting two-way tables”. Check the assumptions behind a method. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
  • Videos 5–6: this part of the source list includes “Two-way relative frequency tables” through “Reading bar charts: comparing two sets of data”. Connect a calculation with a plain-language interpretation. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.
  • Videos 7–8: this part of the source list includes “Two-way frequency tables and Venn diagrams” through “Creating a bar chart”. Describe uncertainty and limits of a conclusion. Keep a brief working note, revisit an unclear explanation and test one example before moving to another part of the material.

Who is this for?

This course suits students, analysts and readers who want to understand the specific statistical methods in the course. It also provides a recorded reference for revisiting a topic after an earlier lesson or study attempt. Choose examples appropriate to your background and allow time to work through the method instead of judging understanding only by how familiar the terminology sounds.

Before you start

Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.

Put the lessons into practice

Create a fictional table classifying people by two attributes, using groups of different sizes. Compute row, column and overall proportions and label every denominator. Draw a bar chart answering one comparison question and explain why raw counts would tell a different story. Check that the table margins and totals agree before interpreting the result.

This optional study activity is provided by WikiFree for independent practice. Keep your working notes and use the relevant classroom recording to check a step, definition or interpretation. It is not an instructor-marked assignment.

Certificate / Assessment

Watching the public videos and using WikiFree completion tracking does not award a certificate, academic credit, an examination voucher or instructor assessment. Use your practice output to review what you can explain and repeat independently. The recorded lessons provide study material; completion tracking records your progress through that material.

Related courses for your next step

Compare course focus, level and study time
Compare the published course outlines. A lower level is a preparation option, not a required prerequisite.
CourseLevelFocusStudy time
This course — Categorical Data Analysis: Free CourseBeginnerCategorical variables · Two-way tables · Conditional proportions25m of video; practice time is additional
Bivariate Data Analysis: Free CourseBeginnerScatter plots · Correlation · Linear regression1h 36m of video; practice time is additional
Summarizing Quantitative Data: Free CourseBeginnerDescriptive statistics · Standard deviation · Interquartile range2h 4m of video; practice time is additional
Statistical Study Design: Free CourseBeginnerSampling · Survey bias · Experimental design1h 11m of video; practice time is additional

Frequently asked questions

Is this course free to watch?

Yes. The public source videos are available in the WikiFree classroom. Video viewing does not include separately priced tools, hardware, memberships or a credential.

How long does the course take?

The 8 source video occurrences total approximately 25m. Allow additional time for pausing, notes, practice and revisiting an explanation.

What background do I need?

Basic arithmetic and familiarity with tables and graphs are helpful. More advanced probability or inference topics assume the prerequisite methods shown in the recordings.

Does completing the videos award a certificate?

No. Video viewing and WikiFree progress tracking do not award a certificate, academic credit or an exam voucher.

Can I study on a phone?

Yes. The classroom supports a responsive player and searchable lesson list. A larger screen or a suitable practice environment can help with detailed calculations, diagrams and software examples.

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Provider: Khan Academy. Videos play from the Khan Academy channel on YouTube.

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