Instructional Video5:40
SciShow

How Machine Learning Makes Our Decisions Smarter

12th - Higher Ed
Whether you're picking a place to eat or something to watch, machine learning helps us make smarter decisions in our daily lives.
Instructional Video5:51
Curated Video

R Programming for Statistics and Data Science - Variables: Revisited

Higher Ed
This video explains variables. This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.
Instructional Video14:42
Curated Video

Statistics for Data Science and Business Analysis - Practical Example: Regression Analysis

Higher Ed
This video shows a practical example of regression analysis. This clip is from the chapter "Practical Example: Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains about regression...
Instructional Video9:40
KnowMo

Constructing and Interpreting Bar Charts

12th - Higher Ed
The video explains how to construct and interpret bar charts using different examples, including numerical and categorical data. The presenter explains the key aspects of bar charts such as titles, axes, labels, scales, and gaps between...
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 Video4:32
KnowMo

Calculating the Mode of a Data Set: Understanding and Examples

12th - Higher Ed
This video provides an explanation of how to calculate the mode of a data set. The mode is defined as the most frequent value in a set of data, and the video demonstrates how to identify the mode using examples of both quantitative and...
Instructional Video2:44
Curated Video

Python for Data Analysis: Step-By-Step with Projects - EDA Overview

Higher Ed
This video introduces you to EDA overview. 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 Video5:46
Fun Robotics

Matplotlib Library Part 2

Higher Ed
Further implementation of matplotlib Python library functions
Instructional Video4:36
Curated Video

Statistics for Data Science and Business Analysis - The Various Types of Data We can Work With

Higher Ed
This video explains about the various types of data to work with. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Instructional Video7:35
KnowMo

Types of Data: Qualitative, Quantitative, Primary, Secondary, Discrete, Continuous, Categorical and Grouped

12th - Higher Ed
This video lecture discusses the various types of data that exist, including qualitative and quantitative data, primary and secondary data, discrete and continuous data, and categorical data. The instructor explains the differences...
Instructional Video6:19
Curated Video

Practical Data Science using Python - Role of Data in Machine Learning

Higher Ed
This video explains the role of data in machine learning. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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 Video13:59
Curated Video

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.
Instructional Video4:46
Curated Video

Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Encoding Categorical Data - Multiple Linear Regression

Higher Ed
In this video, you will learn how to encode categorical data. This clip is from the chapter "Multiple Linear Regression" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will cover multiple...
Instructional Video8:14
Curated Video

pandas for Python - A Quick Guide - Data Transformation

Higher Ed
In this video, you will learn how to convert String data to a category and discretize a continuous variable and convert it into a categorical feature. This clip is from the chapter "Data Preprocessing" of the series "Pandas for Beginners...
Instructional Video10:37
Curated Video

Practical Data Science using Python - Decision Tree - Hyperparameter Tuning

Higher Ed
This video explains decision tree - hyperparameter tuning. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
Instructional Video5:21
Curated Video

Statistics for Data Science and Business Analysis - Dummy Variables

Higher Ed
In this video, you'll learn about dummy variables. This clip is from the chapter "Dealing with Categorical Data" of the series "Statistics for Data Science and Business Analysis".This section explains about dealing with categorical data.
Instructional Video6:24
Curated Video

Analyzing Gender Differences in Math Class Preferences Using Two-Way Frequency Tables

K - 5th
This video provides a lesson on how to use two-way frequency tables to analyze data and determine if one gender likes math class more than the other. It explains the difference between frequency counts and relative frequencies, and...
Lesson Plan7:31
Curated OER

Inside OKCupid: The Math of Online Dating

9th - 12th Standards
Capture the hearts of your young statisticians with this real-life example of using statistics in online dating. The use of average and geometric mean are discussed in the context of creating the algorithm used to connect people.
Instructional Video10:22
Crash Course

Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5

6th - 12th Standards
Clever marketers can use visual statistics to mislead their target populations. Explore these visual misrepresentations with a video lesson from a larger statistics playlist. The lesson instructor explains visual representations of both...
Instructional Video7:19
Curated OER

What is a Frequency Table?

6th - 12th
So you have a data set and you want a visual diagram to help you analyze the data. Not sure how to draw it? The instructor illustrates four different ways to look at a frequency table: two tally tables, one line graph, and one bar graph....
Instructional Video6:44
Curated OER

What is a Frequency Table?

6th - 10th
So you have a data set and you want a visual diagram to help you analyze the data. Not sure how to draw it? The instructor illustrates four different ways to look at a frequency table: two tally tables, one line graph, and one bar graph....
Instructional Video
Khan Academy

Khan Academy: Video Games and Violence

7th - 9th Standards
In this video lesson students look at a set of data, transfer the data into a two-way table and then use that table to make inferences about the data.
Instructional Video
Texas Education Agency

Texas Gateway: Study Edge Statistics: Comparing Distributions

9th - 10th
This lesson discusses how to compare distributions of categorical data using different methods of display, e.g., bar charts, pie charts, and frequeny tables. Includes downloadable study guide with exercises - guide also covers other...