Data Analysis & Statistics

44 videos (10-15 min each, total almost 9hrs) on important concepts in introcutory statistics (through simple regression), with some research methods and basic machine learning. Professionally produced as if to be on television, with interesting examples and graphics. Not the best for following along with an academic class, but well organized (and labeled) to be able to learn about specific topics, or learn from scratch.

20 playlists, containing ~5-15 videos (each video typically 10-30 min) on topics covered in an introductory class, through General Linear Models. A traditional professorial presentation with slides including lengthy conceptual explanations, useful examples, and graphs to ensure thorough understanding. See also the Regression Problem Walkthrough playlist for review and reinforcement. Best for people that really want to understand everything and have the time and motivation.

28 videos (3-10 min each, total 3 hrs) that covers the first half of introductory course, plus probability and Regression, but no hypothesis testing (e.g., p-values, t-tests). Steady narration with well-done graphics, but academically-focused with sample problems that might be encountered in a class. From Canada (e.g., "Z" is "Zed").

33 videos (typically 5-10 in, total 5 hrs) from a professor at the University of Denver addressing the standard content of an introductory class, up to Simple Linear Regression. 12 of the videos (~2 hrs) cover hand-calculation of statistics and test results, which are often unneeded. Well-explained but neither exciting nor boring. PDF files covering the content are also available. More overlay ads than other series, but you can "x" them out.

At 42 min, including a bonus section on p-hacking, this teacher mostly accomplishes the goal of covering all the basic concepts underlying statistics and hypothesis testing with no formulas. Discusses data types, distributions, sampling and estimation, hypothesis testing, and p-values. Not sufficient alone, but useful as a way to identify the crucial concepts and see how everything fits together. Despite the goal, the pace is not too fast with interesting examples from basketball and a good narrator.

Openly-licensed Book and professionally-produced Video lecture series for a class on applied data analysis with secondary data, leading to an independent research project presented by poster. Consequently, it glosses over conceptual principles of hypothesis testing that most traditional classes include but actually covers the process of conducting a simple data analysis project such as codebooks, literature reviews, data management, and presentation. SPSS videos do not cover any software (15 videos, total 3.2 hrs), others--showing the process in Stata, SAS, R, or Python--vary in length. Also available on YouTube.

29 videos (~5-15 min each, totalling 4.5 hrs) on the major topics in an introductory class, focusing on visualizations, probability, and general linear models. Dynamic, fast-paced teacher who continually attempts to be funny and entertaining (including bleeped curse words), with lively background music and personal tips. Does not follow the traditional ordering or content of a class, but covers all the topics in some way and is well-organized with learning objectives for each video. Better explains how the concepts relate to each other and practical use. References Jamovi but does not show how to do graphs or analyses directly.

Over 200 videos total with three main playlists relevant to an introductory statistics class: Statistics Fundamentals (47 videos, 2hrs), Linear Regression (10 videos, 1.25 hrs), and Logistic Regression (7 videos, 1.5 hrs). Videos are typically 5-20 min, but range widely. Dynamic teacher with funny cartoon graphics.

Almost 150 videos, with a at least 6 playlists relevant to introductory college-level classes. Videos are generally short (<10 min) with colorful drawn characters, interesting examples and simple explanations to maintain interest. Some show calculations using Excel. Up to a two-variable Multiple Regression, but mostly focused on and geared toward the more basic tests and concepts. Some videos only available to subscribers, but most are free.