Global Health with Greg Martin
Data Visualisation
In this video, the speaker discusses the importance of data visualization in telling a compelling story with data. They showcase various graphics and techniques to effectively communicate insights from different types of data sets. From...
Curated Video
Practical Data Science using Python - Central Limit Theorem
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.
Curated Video
Data Analytics using Python Visualizations - Plotting Histograms and Box Plots
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...
Curated Video
Practical Data Science using Python - EDA Project - 2
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.
Curated Video
Practical Data Science using Python - Logistic Regression - Telecom Churn Case Study
This video explains logistic regression - Telecom Churn case study. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
Curated Video
Practical Data Science using Python - Linear Regression Data Preparation and Analysis 1
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.
Curated Video
Data Analytics using Python Visualizations - Marginal Histograms and Marginal Boxplots
This video explains marginal histograms and marginal boxplots. 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...
Curated Video
Calculating and Comparing Data Spread Using Interquartile Range
In this video, the teacher explains how to calculate and compare the spread of data sets using the interquartile range. The interquartile range helps determine the range of the middle half of the data, which is especially useful when...
Curated Video
Comparing Two Sets of Data: Measures of Center and Measures of Spread
Learn how to effectively compare and analyze data sets using statistical measures. In this video, we how to compare two sets of data using measures of center (median and mean) and measures of spread (standard deviation and interquartile...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Central Tendency, Mean, Median, and Mode
In this video, we will cover central tendency, mean, median, and mode. 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 first set...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Seaborn for Data Visualization: Seaborn Catplot
In this video, we will cover Seaborn Catplot. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Curated Video
Fundamentals of Machine Learning - Sampling and Bootstrap
This video explains the two most famous and common procedures—cross-validation and Bootstrap. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
Curated Video
Learning R for Data Visualization (Video 10)
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...
KnowMo
Introduction to Box Plots: Understanding and Constructing Them
This video explains what box plots are and how to interpret and construct them. It provides specific information on the different components of a box plot, including the minimum and maximum values, quartiles, range, and median. The video...
Curated Video
Representing Outliers in a Boxplot Using Quartiles
In this video, students learn how to represent outliers in a boxplot by using quartiles. The video explains the five-number summary of a boxplot and demonstrates how to calculate the interquartile range. It then shows how to identify and...
Curated Video
Summarizing Data: Measures of Variability
In this video, the teacher explains how to find the average distance from each data point to the mean using the mean absolute deviation (MAD). The teacher demonstrates this concept using examples of dinner prices and emphasizes that...
Curated Video
Choosing the Best Graphs for Data Using Measures of Center
Explore the concepts of median, mode, and range, and demonstrates how these measures can help determine which graph would be most useful. This video provides examples and comparisons of dot plots, histograms, and box plots, highlighting...
Curated Video
Analyzing Data: Comparing Sets with Outliers
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.
Curated Video
Drawing Inferences from Box Plots
In this video, the teacher explains how to draw inferences by analyzing data on a box plot. They review the different components of a box plot and how they can help make predictions about the data.
Curated Video
Creating a Box Plot: Graphically Representing Data
This video, covers the three main components of a box plot: the box shape, the 50% of data contained within the box, and the five-number summary that provides the structure. The video also clarifies misconceptions about interpreting the...
Curated Video
Describing Data: Measures of Center and Spread
In this lesson, students will learn how to describe data using measures of center and measures of spread. They will understand the difference between median and mean as measures of center, and how to calculate mean absolute deviation,...
Global Health with Greg Martin
Data Analysis Fundamentals: Describing, Summarizing, and Visualizing Data
This video provides a comprehensive guide on how to describe, summarize, and visualize data, covering key concepts such as variables, distributions, and statistical measures. It explains different types of data, such as categorical and...
Curated Video
Advantages of Representing Data on a Dot Plot
In this video, the advantages of representing data on a dot plot are explained. The teacher discusses how dot plots provide a quick snapshot of the shape of the data, show individual data points, and accurately represent the distribution...
Curated Video
Learning R for Data Visualization (Video 1)
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...