Instructional Video0:56
Next Animation Studio

China dumped 27 percent more waste into the ocean in 2018

12th - Higher Ed
China discarded 200.7 million cubic meters of waste into its coastal waters in 2018.
Instructional Video6:19
Curated Video

Comparing Data Sets Using Comparative Box Plots

K - 5th
In this video, the teacher explains how to compare two data sets using comparative box plots. They discuss the elements of a box plot, such as the minimum, maximum, median, lower quartile, upper quartile, and interquartile range. The...
Instructional Video4:08
Curated Video

Analyzing Data: Comparing Sets with Outliers

K - 5th
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.
Instructional Video6:04
Learning Mole

Secure Online Banking

Pre-K - 12th
Jamal wonders how to keep your money safe online after someone attempts to hack into his bank. How do you keep your money safe? What steps can you take to be careful? How safe is online banking?
Instructional Video6:47
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Data Structure (List, Tuple, Set, Dictionary): Introduction to Data Structure

Higher Ed
In this video, we will cover introduction to data structure. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video6:15
Packt

Julia for Data Science (Video 22)

Higher Ed
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance...
Instructional Video3:44
Curated Video

Learning R for Data Visualization (Video 8)

Higher Ed
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
Instructional Video2:45
Curated Video

AWS Certified Data Analytics Specialty 2021 - Hands-On! - Other Visualization Tools (HighCharts, D3, and so on)

Higher Ed
This video explains the other visualization tools in Amazon OuickSight. This clip is from the chapter "Domain 5: Visualization" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn how to...
Instructional Video4:42
Curated Video

Find and Compare Median and Range

9th - 12th
In this short math video we will find & compare median and range of two line plots to answer a standardized math test question. We will define median and range. We will understand that the median of a data set is found by putting the...
Instructional Video4:48
Curated Video

Comparing Data Sets Using Mean and MAD

9th - 12th
In this math video we will solve a math problem by comparing data sets using mean and MAD. We will understand that mean represents the average of a set of data. We will understand that MAD represents the Mean Absolute Deviation of a data...
Instructional Video3:53
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Data Step Versus Proc Step

Higher Ed
In this video, you will see the difference between data step and proc step. This clip is from the chapter "SAS Syntax, Data Step Versus Proc Step, SAS Compared to R/Python" of the series "Complete SAS Programming Guide - Learn SAS and...
Instructional Video8:13
Curated Video

Data Analytics using Python Visualizations - Radarplot to Compare Scores of Multiple Parameters

Higher Ed
This video explains Radarplot to compare scores of multiple parameters. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains...
Instructional Video10:58
Curated Video

Python for Data Analysis: Step-By-Step with Projects - Removing Unnecessary Columns/Rows

Higher Ed
This video explains how to remove unnecessary columns/rows. 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.
Instructional Video21:32
Curated Video

Probability Statistics - The Foundations of Machine Learning - Foundations, Data Types, and Representing Data

Higher Ed
In this video, we will cover foundations, data types, and representing data. This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Instructional Video8:18
Curated Video

Data Analytics using Python Visualizations - Area and Stacked-Area Charts

Higher Ed
This video explains area and stacked-area charts. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains advanced...
Instructional Video6:04
Curated Video

Discuss the importance of data : Test-Train split in Python

Higher Ed
From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the...
Instructional Video9:56
Curated Video

Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models

Higher Ed
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Instructional Video5:39
APMonitor

Data Engineering Overview

10th - Higher Ed
Data engineers consolidate and prepare data for visualization, cleansing, scaling, and data division for training, validation, and testing. Data Engineering: Part 1 Gathering data is the process of consolidating disparate data (Excel...
Instructional Video6:52
Curated Video

Calculating and Comparing the Spread of Data Sets: Understanding Standard Deviation

K - 5th
Learn how to calculate and compare the spread of data sets using measures such as range, interquartile range, and standard deviation. By understanding these measures, the teacher helps students understand the variability and consistency...
Instructional Video6:04
Science360

Ocean Temperatures -- Changing Planet

12th - Higher Ed
Observations document that the Earth's ocean is warming. As the ocean warms, it will also expand in volume, causing sea level to rise. This rise is in addition to the sea level rise that results from water added from melting ice and snow...
Instructional Video3:44
Curated Video

Creating a Dot Plot: Representing Data on a Number Line

K - 5th
In this lesson, students are taught to organize the data, create a frequency table, and determine the intervals for the number line. By placing dots on the graph to represent each data point, students can visually analyze and compare the...
Instructional Video3:26
Curated Video

Java Programming for Complete Beginners - Java 16 - Step 16 - Understanding Data Structures - Tree - Sorted Order

Higher Ed
In this session, we will understand data structures - tree - sorted order. This clip is from the chapter "Collections" of the series "Java Programming for Complete Beginners - Java 16".In this section, we will explore Java collections -...
Instructional Video6:40
Curated Video

AWS Certified Data Analytics Specialty 2021 - Hands-On! - Machine Learning 101

Higher Ed
This video focuses on machine learning. This clip is from the chapter "Appendix-Machine Learning Topics for the Amazon Web Services (AWS) Certified Big Data Exam" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In...
Instructional Video17:49
APMonitor

Analyze Stock Data with Microsoft Excel

10th - Higher Ed
Visualization of data is a powerful method to see trends and make decisions. Microsoft Excel trending capabilities are tools to visualize large data sets, such as financial information on company performance.

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