Statistics and data literacy for non-statisticians

Statistics and data literacy for non-statisticians, available at Free, has an average rating of 4.63, with 18 lectures, based on 2002 reviews, and has 32817 subscribers.

You will learn about Important terms in statistics Overviews of the most important statistical methods This course is ideal for individuals who are People unfamiliar with statistics but who want to learn the basics! It is particularly useful for People unfamiliar with statistics but who want to learn the basics!.

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Summary

Title: Statistics and data literacy for non-statisticians

Price: Free

Average Rating: 4.63

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Important terms in statistics
Overviews of the most important statistical methods

Who Should Attend

People unfamiliar with statistics but who want to learn the basics!

Target Audiences

People unfamiliar with statistics but who want to learn the basics!

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.

Course Curriculum

Chapter 1: Data and data visualizations

Lecture 1: Types of data: categorical, numeric, etc

Lecture 2: Populations, samples, case reports, and anecdotes

Lecture 3: Visualizing data

Lecture 4: Measures of central tendency (mean, median, mode)

Lecture 5: Measures of dispersion (variance, standard deviation)

Lecture 6: Data normalizations

Chapter 2: Probability theory

Lecture 1: What is probability?

Lecture 2: Probability distributions

Lecture 3: Sampling variability, noise, and other annoyances

Chapter 3: Hypothesis testing

Lecture 1: IVs, DVs, models, and hypotheses

Lecture 2: P-values

Lecture 3: What are outliers and why are they dangerous?

Lecture 4: Statistical vs. theoretical vs. clinical significance

Chapter 4: Common statistical tests

Lecture 1: T-test

Lecture 2: Correlation

Lecture 3: Analysis of Variance (ANOVA)

Lecture 4: Regression

Chapter 5: Bonus section

Lecture 1: Bonus content

Instructors

Mike X Cohen
Educator and writer

Rating Distribution

1 stars: 6 votes
2 stars: 21 votes
3 stars: 153 votes
4 stars: 599 votes
5 stars: 1223 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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