Instructional Video11:31
Let's Tute

Introduction to Cumulative Frequency and Less Than Type Ogive Graph

9th - Higher Ed
This video teaches about the less than type cumulative frequency and its representation in a graph. It explains how to calculate cumulative frequency, plot it on a graph, and find the median of the data. The video provides a step-by-step...
Instructional Video8:04
Curated Video

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

Higher Ed
Let's continue with the functions. This clip is from the chapter "Excel 2019 Advanced: Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll explore what are functions.
Instructional Video1:20:06
TMW Media

Normal Probability Density

K - 5th
This program covers the important topic of the Normal Probability Density in Probability and Statistics. We begin by discussing what the Normal Density is and why it is important. Next, we solve several problems that involve the Normal...
Instructional Video38:24
TMW Media

Random Variables & Introduction to Probability Distributions

K - 5th
This program covers the important topic of Random Variables and Probability Distributions in Probability and Statistics. We begin by discussing what a random variable is and how it applies to probability distributions. Next, we solve...
Instructional Video8:34
Curated Video

Multi-Paradigm Programming with Modern C++ - Grouping Tasks with Fork/Join

Higher Ed
Fork/Join builds on top of continuation. The idea is that not one, but multiple parallel tasks can consume results of the previous one. And after those tasks are finished, another task aggregates the results. In this video we will both...
Instructional Video11:02
Catalyst University

Paired t-Test: Theory and Excel Calculation

Higher Ed
Paired t-Test: Theory and Excel Calculation
Instructional Video6:03
Curated Video

Extending the Empirical Rule: Finding Percentages within a Normal Distribution

K - 5th
In this video, the teacher explains how to use the empirical rule to find the percentage of data that falls within a certain interval in a normal distribution. The teacher provides examples and tips on how to apply this rule effectively.
Instructional Video30:10
TMW Media

Standard Deviation & Variance

K - 5th
This program covers the important topic of Standard Deviation and Variance in Probability and Statistics. We begin by discussing what Standard Deviation and Variance is and why it is important. Next, we solve several problems that...
Instructional Video8:04
Let's Tute

Calculating Mean of Group Data using Step Deviation Method

9th - Higher Ed
This video explains how to find the mean of group data using the step deviation method in statistics. It provides a step-by-step guide to organizing the data, calculating mid-values and frequencies, and using the formula to find the...
Instructional Video4:56
Curated Video

Statistics for Data Science and Business Analysis - What is a Margin of Error and Why is it Important in Statistics?

Higher Ed
This video explains about margin of error and its importance in statistics. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to advanced...
Instructional Video28:58
TMW Media

Mean & Standard Deviation of the Binomial Distribution

K - 5th
This program covers the important topic of the Mean and Standard Deviation of the Binomial Distribution in Probability and Statistics. We begin by discussing the Binomial Distribution and its mean. Next, we solve several problems that...
Instructional Video9:38
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dispersion and Spread in Data, Variance, Standard Deviation

Higher Ed
In this video, we will cover dispersion and spread in data, variance, standard deviation. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section,...
Instructional Video8:13
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Training and Testing the Model

Higher Ed
This video demonstrates training and testing the model. This clip is from the chapter "Car Racing Game" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the car racing game.
Instructional Video18:31
Curated Video

Practical Data Science using Python - Histograms and Normal Approximation

Higher Ed
This video explains histograms and normal approximation. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Instructional Video11:26
Let's Tute

Introduction to Cumulative Frequency Distribution and OGIVE Graphs

9th - Higher Ed
This video explains how to create a cumulative frequency distribution graph, also known as an ogive, using the more than type method. It provides step-by-step instructions on how to calculate cumulative frequencies and plot them on a...
Instructional Video13:41
Curated Video

Python In Practice - 15 Projects to Master Python - Data Analysis - Advanced Level: Data Science

Higher Ed
This video explains data analysis. This clip is from the chapter "Advanced Level: Data Science" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the advanced level: data science.
Instructional Video19:32
Curated Video

Practical Data Science using Python - Types of Data and Descriptive Statistics

Higher Ed
This video explains types of data and descriptive statistics. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
Instructional Video19:20
Curated Video

Practical Data Science using Python - Statistics and Experiments

Higher Ed
This video explains statistics and experiments. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Instructional Video16:58
Curated Video

Practical Data Science using Python - Central Limit Theorem

Higher Ed
This video explains the Central Limit Theorem. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Instructional Video5:28
Curated Video

Deep Learning CNN Convolutional Neural Networks with Python - Batch Normalization

Higher Ed
This video demonstrates batch normalization. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
Instructional Video11:06
Curated Video

Probability Statistics - The Foundations of Machine Learning - Dispersion Exploration Through Code

Higher Ed
In this video, we will cover dispersion exploration through code. This clip is from the chapter "Measures of Spread" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will cover measures...
Instructional Video23:23
Curated Video

Data Analytics using Python Visualizations - Plotting Histograms and Box Plots

Higher Ed
This video explains plotting histograms and box plots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to...
Instructional Video12:28
Curated Video

Practical Data Science using Python - Linear Regression - Feature Scaling and Cost Functions

Higher Ed
This video explains linear regression - feature scaling and cost functions. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Instructional Video5:08
Curated Video

The Complete Python Course - 4 Coding Examples - Statistics Module Functions

Higher Ed
Understand the primary functions of a statistic module with examples. This clip is from the chapter "Python – Statistics Module" of the series "The Complete Python Course (2022)".This section handles statistical data in a module.