Instructional Video8:08
Curated Video

Apache Spark 3 for Data Engineering and Analytics with Python - Working with Missing or Bad Data

Higher Ed
In this video, we will learn to clean the data frame and remove missing or bad data. This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3 for Data Engineering and Analytics with Python".This...
Instructional Video16:19
Curated Video

Statistics for Data Science and Business Analysis - Practical Example

Higher Ed
This video contains a practical example on descriptive statistics. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Instructional Video41:31
APMonitor

Python Import Export Data

10th - Higher Ed
Import data from an Excel spreadsheet, CSV file, PDF report, database, or cloud storage into Python. Data may reside in local storage or obtained through a remote connection to a database, web service, or extracted from a webpage. 0:00...
Instructional Video16:41
Let's Tute

Basic Excel Statistical Functions Tutorial

9th - Higher Ed
In this Microsoft Excel tutorial, we cover basic statistical functions such as count, median, mode, percentile, standard deviation, variance, and max/min. We explain the purpose of each function and provide examples to demonstrate how...
Instructional Video13:24
msvgo

Measures of Dispersion

K - 12th
It explains the limitations of measures of central tendency and hence the need of measures of dispersion. It also introduces various measures of dispersion.
Instructional Video5:56
Curated Video

Predicting Intervals and Population Percentages Using the Empirical Rule

K - 5th
This video explains how to use the Empirical Rule to predict intervals and population percentages in a normal distribution. It covers the concept of normal distributions, the characteristics of the Empirical Rule, and how to apply it to...
Instructional Video9:06
Curated Video

Introduction to Variation and Spread in Economics

12th - Higher Ed
The video explores the concepts of variation and spread in economics. The speaker explains the meaning of range, quantiles, and standard deviation and how they can be used to interpret and analyze data. He discusses the different types...
Instructional Video9:38
Curated Video

How to Calculate Standard Deviation

Higher Ed
This video explains how to calculate standard deviation, defines variance and standard deviation, and provides two formulas for finding standard deviation. The video also includes an example calculation of standard deviation using both...
Instructional Video13:44
Curated Video

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

Higher Ed
The aim of this video is to further explore statistical functions for description. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this...
Instructional Video37:47
Curated Video

Data Science and Machine Learning with R - Data Preprocessing

Higher Ed
This video explains some of the practical ways of data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains...
Instructional Video7:20
Curated Video

Understanding the Impact of Outliers on Data Analysis

K - 5th
In this video, Miss Culp's Honors English class of 25 students had to read 10 assigned books over the summer. The video discusses how outliers can affect the shape, center, and spread of data, comparing their impact to the effect of...
Instructional Video9:27
Curated Video

Multi-Paradigm Programming with Modern C++ - More Range Examples

Higher Ed
Everything you can do with loops and algorithms; you can also do with ranges. Thanks to lazy evaluation of views, the code becomes more functional, and often more compact. • Returning ranges from functions • Creating a new range that...
Instructional Video27:04
Curated Video

Data Science and Machine Learning with R - Data Preprocessing Introduction

Higher Ed
This video introduces you to data preprocessing. This clip is from the chapter "Data Preprocessing" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data preprocessing.
Instructional Video5:10
Catalyst University

Excel/Numbers: Absolute Cells vs Reference Cells

Higher Ed
Excel/Numbers: Absolute Cells vs Reference Cells
Instructional Video4:05
Brian McLogan

Learn how to create a normal distribution curve given mean and standard deviation

12th - Higher Ed
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal...
Instructional Video13:38
Packt

Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction to MatPlotLib

Higher Ed
From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and Seaborn...
Instructional Video5:45
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Linear Regression

Higher Ed
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Instructional Video1:30
Curated Video

Statistics for Data Science and Business Analysis - Standard Error

Higher Ed
This video introduces the standard error - an important ingredient for making predictions. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section...
Instructional Video3:44
Brian McLogan

Learn how to find the geometric probability from a figure

12th - Higher Ed
Learn how to find the geometric probability of an event. Given a geometric figure, we can find the geometric probability of an event by taken the area of the part of the geometric figure satisfying the event divided by the area of the...
Instructional Video4:44
Curated Video

Statistics for Data Science and Business Analysis - Standard Deviation and Coefficient of Variation

Higher Ed
This video explains standard deviation and coefficient of variation. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Instructional Video23:09
Curated Video

Python for Data Analysis: Step-By-Step with Projects - Aggregating Statistics

Higher Ed
This video explains aggregating statistics. This clip is from the chapter "Exploratory Data Analysis" of the series "Python for Data Analysis: Step-By-Step with Projects".This section explains exploratory data analysis.
Instructional Video8:24
Curated Video

Finding Percentages Using Technology

K - 5th
In this video, the teacher explains how to use technology, such as spreadsheets and calculators, to find the percentage of a population that falls within a certain range. They demonstrate how to use statistics tables, Z scores, and the...
Instructional Video32:46
APMonitor

Scale Data for Machine Learning

10th - Higher Ed
Scaling (inputs and outputs) can improve the training process for machine learning. A common scaling technique is to divide by the standard deviation and shift the mean to 0. Another common scaling approach is to adjust all of the data...
Instructional Video15:50
msvgo

Standard Deviation and Variance

K - 12th
It explains how standard deviation and variance can overcome the limitations of mean deviation and demonstrates their computation for ungrouped and grouped data.