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Instructional Video3:43
Curated Video

Understanding Measures of Center and Variance Using Line Plots and Number Lines

K - 5th
In this video, students learn about the difference between the measure of center and the measure of variance. They use a line plot and a number line to find the median and variance of a set of data. The teacher explains that the measure...
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Instructional Video3:24
Curated Video

Variance and Standard Deviation

3rd - Higher Ed
A video entitled “Variance and Standard Deviation” which describes ways that variance and standard deviation are used as measures in the real world.
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Instructional Video3:56
Curated Video

Understanding Measures of Center and Variance in Real World Data

K - 5th
Understand the difference between the measure of center and the measure of variance. Learn how these measures can be used in everyday life through a real-world example of basketball scores and review how different measures of tendency...
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Instructional Video9:47
Packt

Practical Data Science using Python - Python Iterations 2

Higher Ed
This video explains loop structures with numeric ranges. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video8:05
Packt

Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with a Known Variance

Higher Ed
In this video, you will see the first example of the use of confidence intervals and introduce the concept of the z-score. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
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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...
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Instructional Video11:05
Curated Video

Measures of Spread - Crash Course Statistics

12th - Higher Ed
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
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Instructional Video13:59
Packt

Practical Data Science using Python - Linear Regression Data Preparation and Analysis 1

Higher Ed
This video explains linear regression data preparation and analysis. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Instructional Video18:55
Packt

Practical Data Science using Python - Linear Regression Data Preparation and Analysis 3

Higher Ed
This video explains the train-rest split and feature scaling. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Instructional Video9:36
Packt

Practical Data Science using Python - Random Forest - Optimization Continued

Higher Ed
This video explains random forest - optimization continued. This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Instructional Video15:42
Packt

Practical Data Science using Python - EDA Project - 2

Higher Ed
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.
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Instructional Video5:08
Catalyst University

NO BS: Paired t-Test Excel Tutorial

Higher Ed
NO BS: Paired t-Test Excel Tutorial
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Instructional Video5:55
Catalyst University

Dixon-Q Test [Example #2]

Higher Ed
In this video, we do a sample problem for the Dixon-Q test.
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Instructional Video13:20
Packt

Predictive Analytics with TensorFlow 2.1: Using Statistics in Predictive Modeling

Higher Ed
In this video, we will discuss some widely used statistical concepts required in predictive analytics, followed by some basic understanding of predictive modeling, such as random sampling, central limit theorem, hypothesis testing using...
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Instructional Video13:47
Catalyst University

Independent t-Test and F-Test: Theory and Excel Calculation

Higher Ed
Independent t-Test and F-Test: Theory and Excel Calculation
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Instructional Video14:30
Packt

Practical Data Science using Python - Python Lists

Higher Ed
This video explains Python lists. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video17:03
Packt

Practical Data Science using Python - Pandas Series 2

Higher Ed
This video explains the various methods of accessing a series of objects. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video13:00
Packt

Practical Data Science using Python - NumPy Arrays 3

Higher Ed
This video explains iterating through an array. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video22:21
Packt

Practical Data Science using Python - Hypothesis Testing

Higher Ed
This video explains hypothesis testing. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
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Instructional Video16:44
Packt

Practical Data Science using Python - Python Lambda Functions and Date-Time Operations

Higher Ed
This video explains Python Lambda functions and date-time operations. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video15:50
Packt

Practical Data Science using Python - EDA Project - 5

Higher Ed
This video explains how to apply binning on funded amount. This clip is from the chapter "Exploratory Data Analysis (EDA)" of the series "Practical Data Science Using Python".This section explains Exploratory Data Analysis.
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Instructional Video14:36
Packt

Practical Data Science using Python - Pandas DataFrame 1

Higher Ed
This video explains Pandas DataFrame. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Instructional Video15:32
Packt

Practical Data Science using Python - Linear Regression Data Preparation and Analysis 2

Higher Ed
This video explains how to plot the distribution of various values of engine types. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Instructional Video19:35
Packt

Practical Data Science using Python - Data Science Introduction and Use Cases

Higher Ed
This video introduces you to data science and its use cases. This clip is from the chapter "Introduction to Data Science" of the series "Practical Data Science Using Python".This section introduces you to data science.