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Resources on the topics covered in introductory statistics and data analysis classes (e.g., PUBP 511, COMM 650)

These are organized in a logical progression and thus good for refreshing your memory or understanding how the different concepts fit together. But, they are well labeled and can also be watched individually to review concepts. They usually cover similar topics as an introductory course, but are shorter and potentially more entertaining.

- Crash Course Statistics44 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.
- Statistics I (Simple Learning Pro)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. Shortest and most straightforward. From Canada (e.g., "Z" is "Zed").
- Statistics in Psychology (Daniel Storage)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.

These are very lengthy, with multiple videos covering each topic and replicating the topics and pace of a college course.

- Statistics 101 (Brandon Foltz)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.
- Online Statistics for the Flipped Classroom (Dr. Todd Grande / Research By Design)Fifteen playlists of 5-15 videos, each covering a week of the class. Polished and experienced instructor of Organizational Psychology and Business with a slow and steady pace and interesting examples.
- Research Methods and Statistics (University of Amsterdam)14 playlists of 6-10 videos (each video typically 3-10 min) organized sequentially but also labeled within groups (Basic Statistics, Inferential Statistics, and Quantitative Methods). A good length for learning or review as it gets right to the point. Has interesting examples and friendly hand-drawn graphics.

More focused on practical data analysis issues and do not cover all the topics usually addressed in an introductory statistics course. Usually assumes knowledge of (or exposure to) calculations of average, different graph types, etc., though such things are often reviewed briefly.

- Passion Driven StatisticsOpenly-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.
- Introductory Statistics (Quant Psych)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.

These are often grouped, but are not necessarily organized in a logical progression. They get right to the point and are focused on specific topics. Thus, they work best to review specific topics.

- StatQuest with Josh StarmerOver 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 of genetics with funny cartoon graphics.
- Dr. Nic's Maths and StatsAlmost 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.

These are most useful to know the key terminology and concepts so that you understand how everything fits together.

- Teach me STATISTICS in half an hour! (zedstatistics)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.

- Kinesiology (Dr. Jacob Goodin)
- 25 videos supplementing a measurement and statistics class. Uses SPSS.

- Neuroscience (Mumford Brain Stats)
- 33 videos from an end of summer ram session. Assumes prior exposure to regression.

- Last Updated: Nov 1, 2022 11:46 AM
- URL: https://infoguides.gmu.edu/statsclass
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Subjects:
Data & Statistics

Tags:
applied_statistics, data, research methods, statistics

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