Crash Course
Confidence Intervals - Crash Course Statistics
Today we’re going to talk about confidence intervals. Confidence intervals allow us to quantify our uncertainty, by allowing us to define a range of values for our predictions and assigning a likelihood that something falls within that...
Curated Video
Introduction to FinTech Using R - How to Time Stock Market
In this video, you will learn how to time the stock market and will focus on the coding aspect of how the algorithm is designed. This clip is from the chapter "Stock Market Timing" of the series "Introduction to FinTech Using R".In this...
Curated Video
R Programming for Statistics and Data Science - Standard Error and Confidence Intervals
This video explains standard error and confidence intervals. This clip is from the chapter "Hypothesis Testing" of the series "R Programming for Statistics and Data Science".This section explains hypothesis testing.
R Programming 101
T-test and interpreting P values using R Programming
This video explains how to use a t-test and interpret the p value using R programming. If you are doing data analysis or interested in data science, then you'll need to learn how to do statistical analysis. Statistics and statistical...
Curated Video
Comparing Treatments Using Resampling: Determining the Effectiveness of New Salt Substitute and Fertilizer
In this video, the teacher explains how researchers can determine if there is a difference between two treatments using a resampling strategy. They use examples of comparing salt substitutes and fertilizers to demonstrate the process. By...
R Programming 101
R programming in one hour - A crash course for beginners
R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot...
Global Health with Greg Martin
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
In this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for...
Curated Video
The Complete Excel Guide: Beginners to Advanced - One Click Forecasting
The aim of this video is to explore one click forecasting. This clip is from the chapter "Excel 2019 Advanced: Statistical Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll explore...
Curated Video
Learning R for Data Visualization (Video 12)
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...
APMonitor
Solve and Optimize ODEs in MATLAB
This tutorial covers MATLAB programming to simulate a differential equation model and optimize parameters to match measurements. In this exercise, the model is simulated with an ODE integrator (ode15s) and optimized with fmincon or...
Curated Video
Statistics for Data Science and Business Analysis - What is a Margin of Error and Why is it Important in Statistics?
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...
Curated Video
Data Analytics using Python Visualizations - Seaborn Slopeplots for Comparing Distributions
This video explains Seaborn Slopeplots for comparing distributions. This clip is from the chapter "Advanced Visualizations Using Business Applications" of the series "Data Analytics Using Python Visualizations".This section explains...
Curated Video
Fundamentals of Machine Learning - Linear Regression - Lectures
This video explains the foundation of the linear regression model, which is the very first approach to supervised learning. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains...
Curated Video
Statistics for Data Science and Business Analysis - Working with Estimators and Estimates
This video explores the estimators and estimates, and differentiates between the two concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Curated Video
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 3)
This is the third of the three-part video, where you'll calculate confidence intervals for two means with independent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
Global Health with Greg Martin
T-test, ANOVA and Chi Squared test made easy.
Statistics doesn't need to be difficult. Using the t-test, ANOVA or Chi Squared test as part of your statistical analysis is straight forward. You do need to understanding the underlying principles of hypothesis testing and p-values of...
Curated Video
Statistics for Data Science and Business Analysis - Practical Example: Inferential Statistics
This video contains a practical example on inferential 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 topics on...
R Programming 101
ANOVA using R programming
ANOVA or Annalysis of Varience can be easily done using R programming. If you're learning statistics or data analysis using R, the you'll need to know how to compare the means of three or more variables. ANOVA lets you do that. So, for...
Curated Video
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Dependent Samples
This video shows real life examples of confidence intervals on dependent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to...
Curated Video
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals Within a Population with a Known Variance
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...
Curated Video
Interpreting Marketing Data: Confidence Intervals, Correlations, and Extrapolation Explained
The video discusses different techniques for interpreting marketing data, including confidence intervals, correlations, and extrapolation. The speaker explains each technique in detail and provides examples to illustrate how they work in...
Curated Video
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 2)
This is the second of the three-part video, where you'll calculate confidence intervals for two means with independent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...
Curated Video
Reducing Margin of Error with Simulation and Sample Size
This video explains how to use simulation to decrease the size of a confidence interval, using the example of a cafeteria manager who wants to know how many parents of school children believe that school lunches are satisfactory. The...
Curated Video
Statistics for Data Science and Business Analysis - Calculating Confidence Intervals for Two Means with Independent Samples (Part 1)
This is the first of the three-part video, where you'll calculate confidence intervals for two means with independent samples. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business...