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Business Analytics -Advanced

Statistics is always a difficult subject for business professionals. Our pursuit is make business analytics  simple and easy for you. Instead of focusing on the theory (like in academics), we have packaged the application of important statistical principles to real-life business situations.

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Course Information

Estimated Time: 8.50 Hours | 92 Lectures | Price : $199

Difficulty: Advanced

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Course Introduction

This section does not have any lessons.

 Six Sigma Metrics

Rolled Throughput Yield

Learn how to compute Rolled Throughput Yield? Difficulty Level : Low
Baseline

Learn how to baseline process parameters? Difficulty Level : Low
Target Setting

Learn how to set targets for process and projects. Difficulty Level : Low

 Measurement System Analysis

MSA Overview

Role of Measurement Variation & Types of Measurement System Analysis. Difficulty Level : Medium
Performing MSA Kappa Study

Learn to perform discrete MSA using Agreement & Kappa Method. Difficulty Level : High
MSA ANOVA

Understand Variable MSA (ANOVA method) in detail. Difficulty Level : High
Understanding MSA ANOVA Terms

Understand the various terms used in Variable ANOVA GRR. Difficulty Level : High
Performing MSA ANOVA 1

How to perform ANOVA Variable GRR and interpret the results? Difficulty Level : High
Performing MSA ANOVA 2

Continued from previous lesson. How to perform ANOVA Variable GRR and interpret the results? Difficulty Level : High
MSA Practice Files

 Statistical Techniques

This section does not have any lessons.

 Statistical Techniques – Advanced

Probability Distribution Refresher

Ability to identify different types of statistical distributions 2.Apply the concept of distributions to practical situations. Difficulty Level : High
Standard Normal Variable

Understand what is Standard Normal Variable. Difficulty Level : High
Application of Probabilities

Application of the concept of probability to business scenarios. Difficulty Level : High
Types of Distributions

Learn about different types of distributions. Difficulty Level : High
Distribution Parameters

Learn about distribution parameters. Difficulty Level : High
Process Lead Time Data

How to deal with process lead time data? Answer important questions for business? Difficulty Level : High
Weibull Distribution

Learn about Weibull Distribution & its characteristics. Difficulty Level : High
Identifying Distributions

How to identify what distribution a given data belongs to? Difficulty Level : High
Application of Weibull Distributions

Learn about the application of Weibull Distribution. Difficulty Level : Medium
Exponential Distribution

Learn about Exponential Distribution and its applications. Difficulty Level : High
Binomial Application

Application of Binomial Distribution. Difficulty Level : High
Poisson Distribution

Learn about Poisson Distribution. Difficulty Level : High
Poisson Distribution Application

Application of Poisson Distribution. Difficulty Level : High
Normal Approximations

Learn about the impact of Sample Size on Distributions. Difficulty Level : High
Central Limit Theorem

What is Central Limit Theorem and its relevance to business? Difficulty Level : High
Application of Central Limit Theorem

Learn about the application of Central Limit Theorem. Difficulty Level : Medium
Statistical Techniques Practice Files
Binomial Distribution

Learn about Binomial Distribution. Difficulty Level : Medium

 Sampling Distribution

Sampling Distribution Practice Files
Confidence interval for means

Learn how to compute Confidence Intervals for means. Difficulty Level : Medium
Degrees of freedom

Learn about what is Degrees of Freedom & where will it be applied. Difficulty Level : Medium
t-Distribution

Learn about t distribution & its relevance to data analysis.
Difficulty Level : Medium
CI for t-Distribution

Learn to compute the Confidence Limits for sample mean using t-distribution.
Difficulty Level : Medium
Proportion of CI

Learn to compute Confidence Interval for proportion data. Difficulty Level : Medium
Chi-Square distribution

Learn about Chi-square distribution & its relevance to data analysis. Difficulty Level : Medium
F- Distribution

Learn about F Distribution and its relevance to data analysis. Difficulty Level : Medium
Sampling Distribution Practice Files

 Estimate Sampling

Estimate Sampling

Revise what you know about data sampling Difficulty Level : Low
Rational Sub-Grouping

Learn about Rational subgrouping and its importance Difficulty Level : Medium
Sample size computation for estimates for discrete data

Learn how to compute sample size for estimation using MS-Excel and Minitab Difficulty Level : Medium
Sample size computation for estimates for Continuous data

Learn about how to adjust sample size for finite populations Difficulty Level : Medium
Sample size for finite population

Learn about how to adjust sample size for finite populations. Difficulty Level : Medium
Estimate Sampling Practice Files

 Advanced Graphical Methods

Graphical Methods Intro

Importance of graphical methods & types of graphical tools. Difficulty Level : Low
Dot Plots, Box Plots & Interval Plots

Learn how to create and interpret Dot Plots, Box Plots & Interval Plots. Difficulty Level : Low
Run Charts

Learn how to create and interpret Run Charts in Minitab. Difficulty Level : Low
Time Series Plots

Learn how to create and interpret Time Series Charts in Minitab. Difficulty Level : Low
Theory of Scatter Plots & ‘r’

Learn about the theory behind Scatter Plots & the origin of ‘r’ value. Difficulty Level : Low
Non-linear correlation

Learn about how to study and interpret non-linear correlation using Spearman’s Rho. Difficulty Level : Low
Marginal Plots

Learn how to create and interpret Marginal Plots. Diffifculty Level : Low
3D Plots

Learn about 3D Plots such as Scatter Plots, Contour Plots & Surface Plots. Difficulty Level : Low
Multi Vary Charts

Learn to create and interpret Multi-vary charts. Difficulty Level : Low
Advanced Graphical Methods Practice Files

 Inferential Statistics

This section does not have any lessons.

 Hypothesis testing

Hypothesis Testing

Learn the principles behind hypothesis testing Difficulty Level : High
Hypothesis testing in t-tests I

Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
Hypothesis testing in t-tests II

Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
Hypothesis testing in t-tests III

Continued from previous lesson. Learn how to perform 1t, 2t & Paired-t tests. Difficulty Level : High
ANOVA Fundamentals I

Learn about theory behind ANOVA testing. Difficulty Level : High
ANOVA Fundamentals II

Continued from previous lesson. Learn about theory behind ANOVA testing. Difficulty Level : High
Performing ANOVA I

Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Performing ANOVA II

Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Performing ANOVA III

Continued from previous lesson. Learn to apply 1 way ANOVA, 2 way-balanced ANOVA & 2 way –unbalanced ANOVA (GLM) and interpret the results. Difficulty Level : High
Type of Chi-square test

Learn about types of chi-square tests & where to apply them. Difficulty Level : High
Hypothesis testing using Chi-square tests

Learn about chi-square hypothesis tests & where to apply them. Difficulty Level : High
Performing Chi-square tests I

How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High
Performing Chi-square tests II

Continued from previous lesson. How to perform different types of chi-square tests and draw suitable inferences? Difficulty Level : High
Hypo Testing Proportion Test I

Learn how to perform 1P & 2P tests. Difficulty Level : High
Hypo Testing Proportion Test II

Continued from previous lecture. Learn how to perform 1P & 2P tests. Difficulty Level : High
Hypothesis Testing Practice Files

Non parametric testing

Non Parametric Intro

How to perform Non-Parametric Hypothesis Testing Difficulty Level : High
One Sign & Wilcoxon Test

How to perform One Sign & Wilcoxon Test? Difficulty Level : High
Mann Whitney & Moods Median

How to perform Mann Whitnney & Moods Median? Difficulty Level : High
Non Parametric Testing Practice Files

 Hypothesis Sampling

Risks in hypothesis testing

Learn about various risks involved in decision making with respect to hypothesis testing
Difficulty Level : High
Sampling of hypothesis testing

Learn to compute sample size for hypothesis test based on risk factors & purpose of test Difficulty Level : High
Hypothesis Sampling Practice Files

 Correlation & Regression

Line of Best Fit

How to construct a line of best fit for simple linear regression? Difficulty Level : High
Regression in Minitab

How to construct a line of best fit for simple linear regression? Difficulty Level : High
Fits & Residuals

What are fits, residuals & how it relates to Least Squares Method? Difficulty Level : High
Partial Correlation

What is partial correlation and how to compute it? Difficulty Level : High
Importance of Rsq

What is R-sq & Adj R-sq? How is it computed? What is its significance? Difficulty Level : High
Confidence Band and Prediction Band

Learn about Confidence Band & Prediction Band. Difficulty Level : High
Multiple Linear Regression

How to construct a Multiple Linear Regression? Difficulty Level : High
Multi-collinearity

What is Multi-Collinearity & how to detect it? Difficulty Level : High
Best Subsets

Build Simple Prediction Models. Difficulty Level : High
Logistic Regression Intro

What is Logistic Regression? How to perform Binary Logistic Regression? Difficulty Level : High
Performing Logistic Regression

Learn to perform logistic regression. Difficulty Level : High
Predicting using Models

Learn to build simple prediction models. Difficulty Level : High
Correlation & Regression Practice Files

 Process Capability

Data Transformation I

When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High
Data Transformation II

Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High
Data Transformation III

Continuation from previous lecture. When & how to use Data Transformation for Process Capability? Box-Cox Transformation & Johnson Transformation. Difficulty Level : High

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