Statistics and data literacy for non-statisticians

Learn the key terms and analysis methods in statistics

4.64 (1896 reviews)

Udemy

platform

English

language

Social Science

What you will learn

Important terms in statistics

Overviews of the most important statistical methods

Why take this course?

Welcome to this short course on statistics literacy! The purpose of this course is to teach you about basic statistics terminology and foundational concepts. You will learn the meaning of key terms in statistics, such as p-value, ANOVA, variance, t-test, etc.

If you are brand-new to statistics, then this is the right course for you. It’s a beginner-level course, so if you’ve already taken a statistics course, or read a statistics book, then you might find all of the material covered in this course to be familiar. In that case, you can browse through the course and see if there are some concepts you need to brush up on. You don’t necessarily need to go through the entire course in order — you can skip around to the videos you are most interested in learning from.

By the end of this course, you will feel more comfortable talking about and reading about commonly used statistical analysis methods. You’ll also be able to engage in conversations with people who focus on technical or statistical issues, business analytics, and so on.

Please note that this course does not cover the math of the analyses, nor software to perform statistical analyses. I show a few basic formulas, but the focus is much more on conceptual understanding than mathematical detail.

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Reviews

Paul

November 8, 2023

I'm 68 now, never studied Statistics in high school or college. (Instead studied Hebrew, Greek, ancient history and religion, up to an Oxford D.Phil., followed by a 33-year career teaching at the graduate level.) Dr. Cohen's distillation of basic statistical concepts illumined the whole field for me. His intuitive explanations of the standard error, of hypothesis testing, and of p-values enabled me to grasp the gist of what several more detailed books and courses including mathematical formulae have struggled to communicate.

Tamryn

August 22, 2023

Statistics is a subject matter in which the teachers of it sometimes tend to underexplain or there is a lack of adequate explanation. This course solves that problem. It is explained so well and it is easy to understand with good examples.

Tracy

July 12, 2023

Clear, concise explanations on data and chart use. I learned several crucial graphing use cases within the first 10 minutes.

Chihiro

June 16, 2023

As a complete newbie for the statistics (and non-native English speaker), I wish there were clear explanation/word definitions/ terminology. Many weren't cleared to me.

Bryan

June 10, 2023

Awesome overview of statistics. Did statistics years ago. Was a nice refresh before proceeding with a more in-depth course. This is I think the first course I actually completed from start to finish on Udemy (started several others, but still plodding through them all). This one actually got done! Completed!

Jasmin

May 13, 2023

I love Mike's courses. He is clear and consistent, explaining seemingly difficult topics in a way that makes them simple. Most importantly, he is logical in making the topic make sense.

Arda

February 12, 2023

Lecturer presents topic clearly. It is a university course given for free! Recommended for anyone who wants to understand essentials of statistics.

Mfon

December 14, 2022

I still find statistical significance confusing, aside from that so far, the course content is really helpful for non-statisticians like myself.

Amr

December 6, 2022

Good intro. Would skip if you have former statistics training and feel comfortable with the big picture.

Karen

November 15, 2022

This is exactly what I needed to bridge some gaps in understanding statistical application and language.

Jovana

August 17, 2022

The course is great for beginners and just understanding statistics and the most basic test used in data analysis.

Marcus

July 7, 2022

This mini-lesson is a great intro and refresher. Mr. Cohen's explanations, examples, and patience are top-notch.

Ilani

June 21, 2022

Perfect for a quick and basic introduction without getting bogged down with the mathematical side of things.

Mihai

June 12, 2022

So far, yes. I was interested in a broader but also less obtuse approach and the course is delivering on that front!

Guilherme

April 22, 2022

Some subjects a bit rushed and may be unclear. An example is the misguiding statement that the measure of MODE is necessarily categorical.

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