Schooling Online
IB Physics Skills: Reliability Part 2
We know that Robin Hood is an accurate and reliable archer, but just how good is he? Is his aim god-like, or is he subject to the errors and imperfections of mortals? This lesson will continue investigating the concept of reliability,...
Curated Video
Statistics for Data Science and Business Analysis - Measuring Skewness
This video explains the most commonly used tool to measure asymmetry - skewness, and its relationship with the mean, median, and mode. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data...
Economics Explained
Why Are Cold Countries Richer Than Hot Countries?
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...
Curated Video
Comparing Populations: Range and Interquartile Range
In this video lesson, students will learn how to compare the consistency of two teams or populations over a period of time using the range and interquartile range. The range measures the difference between the highest and lowest values,...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Bayesian Inference Code Through PyMC3
In this video, we will cover Bayesian inference code through PyMC3. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Curated Video
Practical Data Science using Python - EDA Project - 2
This video explains data distribution. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
Curated Video
Machine Learning Random Forest with Python from Scratch - Outliers
Let's look at outliers, the data points of a dataset that differ from others and are usually excluded by visualizing a dataset. This clip is from the chapter "Introduction to Machine Learning" of the series "Machine Learning: Random...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - [Exercise] Amazon Machine Learning - Part 2
This video is the second part of the two-part video that explains how to predict order quantities with a linear regression from Amazon machine learning. This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web...
Curated Video
Machine Learning Random Forest with Python from Scratch - Outliers Removal
In the second part of the data cleaning process, we will look at an outlier in detail and learn how to correct or remove the outlier. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Analytics Costs and RANDOM_CUT_FOREST
This video focuses on the cost of Kinesis analytics and explains how to use the RANDOM_CUT_FOREST function. This clip is from the chapter "Domain 4: Analysis" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this...
Curated Video
Python for Data Analysis: Step-By-Step with Projects - Data Cleaning Overview
This video introduces you to data cleaning overview. This clip is from the chapter "Cleaning Data" of the series "Python for Data Analysis: Step-By-Step with Projects".This section introduces you how to clean the data.
KnowMo
Understanding Quartiles and Box Plots for Data Analysis
This video explains the concept of quartiles and box plots, which are used to analyze and visualize data sets. The video also explains how to determine the quartiles using a cumulative frequency graph and how to draw a box plot to...
Curated Video
Representing Outliers in a Boxplot Using Quartiles
In this video, students learn how to represent outliers in a boxplot by using quartiles. The video explains the five-number summary of a boxplot and demonstrates how to calculate the interquartile range. It then shows how to identify and...
Curated Video
Interpreting Scatter Plots: Identifying Clusters and Outliers
This video lesson teaches students how to interpret scatter plots by identifying clusters and outliers. It explains the concept of scatter plots and demonstrates how to draw conclusions about the relationship between two sets of data. By...
Fun Robotics
Understanding Boxplot
Explains how to read a boxplot including all the parameters associated with it.
Curated Video
Analyzing Data: Comparing Sets with Outliers
In this video, the teacher explains how to compare two sets of data when there is an outlier. They discuss the use of measures of center and measures of spread, such as median and interquartile range, to analyze the data.
Curated Video
Testing for Outliers in Data: Methods and Example
The video is a lecture on how to test for outliers in datasets and provides three methods for identifying them. The instructor explains the importance of identifying outliers to ensure the validity of data and outlines the three methods:...
Curated Video
Introduction to Scatter Plots and Interpretation
This lesson on scatter plots teaches students how to interpret and create scatter plots to show relationships between two sets of data. It covers positive and negative linear relationships, non-linear relationships, and no correlation....
Curated Video
Understanding Appropriate Conditions for Using the Normal Model
Understand the conditions for using a normal model to analyze one-variable data sets. Review different types of distributions, such as uniform, skewed, and multi-peaked, and emphasize the importance of visually examining the data before...
Curated Video
Identifying Outliers in Data Sets Using Quartiles
In this video, the teacher explains how to identify outliers in data sets using quartiles. They use the example of temperature data in Chicago to demonstrate the process. The teacher emphasizes the importance of not simply dismissing...
Curated Video
Assessing the Appropriateness of a Linear Correlation Model
In this video, a teacher explains how to assess the appropriateness of a linear correlation model by checking three conditions: do the variables are quantitative? Does the scatterplot looks linear? And are there any outliers? Review...
Curated Video
Comparing Box Plots: Analyzing Shape, Center, and Spread
This video explains how to interpret and compare box plots by analyzing shape, center, and spread. We review the five-number summary and how to determine the minimum, quartiles, median, and maximum. We also discuss the importance of...
Bloomberg
Lockhart: At Least One More Fed Hike This Year Possible
"I think the assumption of one more increase either at the September or the October November meeting, is a reasonable and plausible way of looking at the future." Former Federal Reserve Bank of Atlanta President Dennis Lockhart discusses...
Bloomberg
'Brackets for a Cause': March Madness for Charity
Mar.16 -- Bloomberg's "Brackets for a Cause" March Madness charity contest returns for a third year, giving the biggest names in business and finance a chance to make their picks for the NCAA tournament to benefit the charity of their...