Instructional Video3:55
Curated Video

Methods of Displaying Data for Identifying Patterns in Diseases and their Effects on Society

Higher Ed
This video discusses three ways in which scientists can display and analyze data to identify patterns and relationships within the data. The first method is using bar charts to quantify and compare different categories of data, which can...
Instructional Video2:48
Curated Video

Causation vs. Correlation: Understanding the Difference

K - 5th
In this video explains the difference between correlation and causation. It provides examples to show that just because two variables are correlated, it does not mean that one causes the other. Learn the importance of understanding...
Instructional Video11:56
Economics Explained

Why Are Cold Countries Richer Than Hot Countries?

9th - Higher Ed
There are all manner of factors that make poor countries poor and rich countries rich. Many of these factors we have explored in depth when we have looked at economies like the democratic republic of the Congo all the way up to places...
Instructional Video7:07
Packt

CompTIA Network+ Certification N10-007: The Total Course - Security Information and Event Management (SIEM)

Higher Ed
This video explains the purpose of SIEM tools. This clip is from the chapter "Network Monitoring" of the series "CompTIA Network+ Certification N10-007: The Total Course".In this section, you will learn about SNMP, system monitoring, and...
Instructional Video0:53
Curated Video

Python for Machine Learning - The Complete Beginners Course - Sorting the Data by Correlation

Higher Ed
In this video, you will learn how to sort the data by correlation. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...
Instructional Video11:35
Economics Explained

Why 40,000 People Die for Every 1% Increase in Unemployment - The Big Short

9th - Higher Ed
the big short was a fantastic movie, for finance nerds and regular viewers alike. One of the lines that stood out the most, amongst many memorable lines, was the claim that for every 1% increase in unemployment 40,000 people die. This is...
Instructional Video11:23
Curated Video

pandas for Python - A Quick Guide - Processing Numerical Data for Pandas

Higher Ed
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...
Instructional Video5:28
ShortCutsTv

Correlations

Higher Ed
Based around the example of media and violence, this film examines the difference between correlation and causation.
Instructional Video12:32
Curated Video

Practical Data Science using Python - Logistic Regression - Build the Logistic Model

Higher Ed
This video explains logistic regression - build the logistic model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Instructional Video8:03
Curated Video

Data Analytics using Python Visualizations - Creating Heatmaps

Higher Ed
This video explains creating heatmaps. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced visualizations using...
Instructional Video2:15
Curated Video

Python for Machine Learning - The Complete Beginners Course - Correlation Between the Most-Rated Movies

Higher Ed
In this video, you will learn about correlation between the most-rated movies. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover...
Instructional Video9:40
Curated Video

Practical Data Science using Python - EDA Project - 3

Higher Ed
This video explains unordered categorical variables. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
Instructional Video1:02
Curated Video

Python for Machine Learning - The Complete Beginners Course - Sorting Values

Higher Ed
In this video, you will learn about sorting values. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the recommender system.
Instructional Video2:23
Curated Video

Python for Machine Learning - The Complete Beginners Course - Repeating the Process for Another Movie

Higher Ed
In this video, you will learn how to repeat the process for another movie. This clip is from the chapter "Recommender System" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover the...
Instructional Video10:02
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Information Theoretic Methods

Higher Ed
In this video, we will cover information theoretic methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video4:07
Curated Video

Statistics for Data Science and Business Analysis - Correlation and Causation

Higher Ed
In this video, you will learn about correlation and causation. This clip is from the chapter "The Fundamentals of Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section includes fundamentals...
Instructional Video4:03
Brainwaves Video Anthology

Jaime Casap - Google Global Education Evangelist

Higher Ed
Jaime Casap is the Chief Education Evangelist at Google, Inc. Jaime evangelizes the power and potential of the web, technology, and Google tools as enabling and supporting capabilities in pursuit of creating powerful learning models. In...
Instructional Video11:46
Curated Video

The Complete Excel Guide: Beginners to Advanced - Statistical Functions for Forecasting - Part 2

Higher Ed
The aim of this video is to explore more statistical functions for forecasting. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section,...
Instructional Video5:11
KnowMo

Introduction to Scatter Graphs and Plotting Techniques

12th - Higher Ed
This is a lecture video that explains scatter graphs, also known as scatter plots. The video describes how scatter graphs are used to analyze the relationship between two variables and provides examples of data points that can be plotted...
Instructional Video2:53
KnowMo

Understanding Scatter Graphs: Identifying Correlations and Making Predictions

12th - Higher Ed
The video discusses scatter graphs and their usefulness in determining the relationship between two sets of data. The speaker explains the concepts of positive, negative, and no correlation, and how to identify them on a scatter graph....
Instructional Video4:52
Brian McLogan

Master Determining the correlation and trend line of a scatter plot

12th - Higher Ed
Master Determining the correlation and trend line of a scatter plot
Instructional Video15:29
Curated Video

Scatter Plots and Lines of Fit

9th - 12th
In this video lesson, students will learn about scatter plots and lines of fit. They will learn how to interpret scatter plots, identify types of correlation between data sets, and write, interpret, and use lines of fit to model data....
Instructional Video5:41
Mr. Beat

How Long Will You Live?

6th - 12th
Here's a plain and simple look at life expectancy. Sure, we all are going to die. But at least we all now have a greater chance of living longer than ever before.
Instructional Video10:25
APMonitor

Raoult's Law Vapor Liquid Equilibrium Solved with Excel

10th - Higher Ed
Microsoft Excel is used to calculate the liquid mole fraction and temperature of a mixture, using Raoult's law for vapor-liquid equilibrium. Excel solver is used to solve for 2 equations and 2 unknowns.