Business Analytics Foundation
Business Analytics drives practical, data-driven changes in a business. It enable data-driven decision making that has the potential to increase profits and improve efficiency in a business.
How to use this course
FREE PREVIEWIntroduction to Learning management system
Important Reading - Get Started
Participant Honor Code
Download - Required for the course
Minitab Application Installation and Instructions
Mindmaps
BAF Virtual Classroom Schedule
Business Analytics Foundation Virtual Classroom Link
Business Analytics Foundation, Manual login details
What is Statistics?
Graphical Plots
Descriptive Statistics
Outliers
Boxplot
Skewness
Normal Distribution
Effect of Outliers
Downloads
Mathematics
Exploratory Data Analysis
Descriptive Statistics
Download
Hypothesis testing
Illustration - Hypothesis Testing
P value
Hypothesis Tests for Means
Practice Exercises
Sample Size for Estimation
Parameter Estimation - Proportion
Parameter Estimation - MEAN
Parameter Estimation - Standard Deviation
Confidence Intervals - Manual computation
Paired t test - Manual Computation
Introduction to ANOVA - Statistical Background
One Way ANOVA - Manual Computation
Chi-Square Test for Independence (Manual Computation)
Chi-Square Test for Goodness of Fit (Manual Computation)
Mann-Whitney U Test - Manual Computation
Download
Which Regression Analysis should you choose?
Assumptions of Ordinary Least Square Regression (Numeric Y, Numeric and categorical Xs)
Multiple Regression with continuous and categorical X variable
Y continuous, multiple Xs - Biomass
Y continuous, Multiple X - Best Subset
Y continuous, Multiple X - Stepwise
Y discrete (1 event)
Y discrete, X continuous and discrete
Y Discrete - Ordinal
Y Discrete (multiple events)
Y (Discrete -counts)
Logistic Regression - Model Summary and Measures of Association
Logistic Regression - Link Function
Variable Normalization / Feature Scaling