SciShow
How to Predict the Odds of Anything
Statistics! They're every scientist's friend. But they can be easy to misinterpret. Check out this thought exercise with Hank to understand how some mental kung fu known as Bayesian reasoning can use stats to draw some downright...
TED-Ed
TED-Ed: The method that can "prove" almost anything | James A. Smith
In 2011, a group of researchers conducted a study designed to find an impossible result. Their study involved real people, truthfully reported data, and commonplace statistical analyses. So how did they do it? The answer lies in a...
Curated Video
Scatter Graphs Introduction
This video explains what a scatter graph/plot is and how to plot them. A practice question is provided at the end of the video.
Curated Video
Mean, Median, Mode, and Range
This video explains how to find the mean, median, mode and range. Practice questions and answers are at the end of the video.
Curated Video
Conceptual Rigor
Political scientist Mark Bevir (UC Berkeley) describes how too many people associate rigor primarily with methodology rather than basic thinking.
APMonitor
Data Engineering Summary Statistics
Summary statistics give valuable insights as one of the first steps in data engineering after the data is gathered. Statistics help to assess data quality and diversity. Data discovery with statistics is a common first activity and there...
R Programming 101
T-test and interpreting P values using R Programming
This video explains how to use a t-test and interpret the p value using R programming. If you are doing data analysis or interested in data science, then you'll need to learn how to do statistical analysis. Statistics and statistical...
Professor Dave Explains
Techniques for Sampling and Analysis in Dendrochronology
We now know what dendrochronologists do. They examine tree rings. But precisely how do they do this? How do they collect the data? How do they analyze it? This is a very involved question, but let's try to answer it by investigating the...
Global Health with Greg Martin
Understanding missing data and missing values. 5 ways to deal with missing data using R programming
In this video I talk about how to understand missing data and missing values. I also provide 5 strategies to deal with missing data using R programming. If you're doing quantitative analysis or statistical analysis, your dataset will...
APMonitor
Install Python Packages for Machine Learning
The power of Python is in the packages that are available either through the pip or conda package managers. This video is an overview of some of the best packages for machine learning and data science and how to install them. Python is a...
R Programming 101
Ggplot for plots and graphs. An introduction to data visualization using R programming
Using ggplot and ggplot2 to create plots and graphs is easy. This video provides an easy to follow lesson on how to use R programming to do excellent data visualisation. If you want to learn how to work with data and do quantitative...
Global Health with Greg Martin
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
In this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for...
R Programming 101
Recoding data using R programming. Using the tidyverse and dplyr packages to create a new variable
This video is about how to recode data and manipulate data using R programming. It is really an R programming for beginners videos. It provides a demonstration of how to recode data using the tidyverse package (specifically the dplyr...
Curated Video
pandas for Python - A Quick Guide - Processing Numerical Data for Pandas
In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio. This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming Guide - Learn...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Input and Put Functions
If you want to convert your character variable to a numeric one (so you can do an analysis on that variable), you have to use the INPUT function. If you want to change a numeric variable to a character one, you have to use the PUT...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Creating a Macro Example 1 (Greater Flexibility and Useful for Repetitive Coding)
Learning how to create a macro can give you great flexibility and help finish your coding much quicker. As you know, time is equivalent to money. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Creating a Macro Variable (Helps You Modify Data Easier)
Learning how to create a macro variable can speed up your coding, by making it easier to modify your data. This clip is from the chapter "Macro Facility Fundamentals" of the series "Complete SAS Programming Guide - Learn SAS and Become a...
Global Health with Greg Martin
Statistics made easy ! ! ! Learn about the t-test, the chi square test, the p value and more
Learning statistics doesn’t need to be difficult. This introduction to stats will give you an understanding of how to apply statistical tests to different types of data. You’ll learn about numeric and categorical data and gain an...
Loyola University Chicago
Math Flix: Data Analysis Statistical Analysis With Words
From the MathFLIX Series, this Quick-Time movie builds on student knowledge of the concepts of mean, median, and mode. In this interactive discussion, teacher and student go step by step through the data analysis process to identify...