Minitab Minitab - Predictive Modeling

Minitab - Predictive Modeling

Catalog: Minitab
Short name: Predictive Modeling
Course start date: 2024-07-02
Paystack

Description

The curriculum for “Minitab and its Application to Predictive Modelling” consists of the following sections and sub-sections.


Minitab and its Application to Predictive Modelling –


This section consists of the following subsections


Introduction to the concept of Predictive Modelling

Non Linear regression

Anova as well as Control Charts

Descriptive Statistics, Means and Standard Deviation –


This part consists of the following sub-sections –


Understanding, Interpretation as well as Implementation with the use of Minitab

Continuation of Interpretation as well as Implementation with the use of Minitab

Observation

Outcomes for the NAV prices

Observations of the NAV prices

Descriptive Statistics

Observations of the complaints of the customers

Observations of the Resting Heart Rate

Outcomes of the Loan Applicant MTW

More details on the outcomes for the Loan Applicant MTW

T-Test features

Loan Applicant

Paired T – Test

Course Duration:-16h 11m

Sections

General
0 activities

Introduction of Predictive Modeling
Non Linear Regression
Anova and Control Charts
Understanding, Interpretation and implementation using Minitab
Continue on Interpretation and implementation using Minitab
Observation
Results for NAV Prices
NAV Prices - Observations
Descriptive Statistics
Customer Complaints-Observations
Resting Heart Rate Observations
Results for Loan Applicant MTW
More Details on Results for Loan Applicant MTW
Features of T- Test
Loan Applicant
Paired T - Test
Understanding and Implementation of ANOVA
Pairwise Comparisons
Features of Chi - Test
Preference and Pulse Rate
Diffe. btw Growth Plan ad Dividend Plan in MF
Checking NAV Price and Repurchase Price
Basic Correlation Techniques
More on Basic Correlation Techniques
CT Implementation Using Minitab
Continue on Implemetation using Minitab
Interpretation of Correlation Values
Results for Return
Correlation Values - Observations
Correlation Values - Interpretations
Heart Beat - Objective
Heart Beat - Interpretation
Demographics and Living Standards
Demographics and Living Standards - Observation
Graphical Implementation
Add Regression Fit
Scatterplot with Regression
Scatterplot of Rhdeq vs Rhcap
Introduction to Regression Modeling
Identify Independent Variable
Regression Equation
Tabulating the Values
Interpretation and Implementation on Data Sets
Continue on Interpretation on Database
Significant Variable
Calculating Corresponding Values
Identify Dependent Variable
Generate Descriptive Statistics
Scatterplot of Energy Consumption
Identity Equation
P - Value and T - Value
Changes in Tem. and Expansion
Objective of Stock Prices
Interpretations of Example 5
Reliance Return Change
Generate Predicted Values
Scatterplot Return RIL
Basic Multiple Regression
Basic Multiple Regression Continues
Basic Multiple Regression - Interpretation
Generate Basic Statistics
Working on Scatterplot
Dependent Variable Objective
Concept of Multicollinearity
Identify Dependent Variable Y
Outputs and Observation
Interpretations - Example 3
Calculate with and without Flux
Scatterplot of Heart FLux Vs Insolation
Interpretation of Datasets
Implementation of Datasets
Example 4 Observations
Display Descriptive Statistics
Predicted Values Example 4
Scatterplot of Example 4
Calculating IV - Multiple Regression
Calculating Independent Multiple Regression
Understanding Basic Logistic Scatter Plot
Basic Logistic Scatter Plot Continues
Generation of Regression Equation
Tabulated Values
Interpretation and Implementation on Dataset
Interpretation and Implementation on dataset Continues
Output and Observation - Tabulated Values
Business Metrics Example
Example Two and Three Interpretations
Regression Equation Group
Interpretation and Implementation of Scatter Plot
More on Implementation of Scatter Plot
Plastic Case Strength
Separate Equations
Generation of Predicted Values
Scatter Plot Strength Vs Temp
Data of Cereal Purchase
Children Viewed and RE
Predicted Values for Individual Customers
Income Independent Variable
Example of Credit Card Issuing
Example Five - Tabulated Values
Generating Outputs
Example Five Interpretations
Situations Income
Scatterplot
Scatter Plot Scale
Using Data Analysis Toolpak
Implementation of Descriptive Statistics
Descriptive statistics - Input Range
Implementation of ANOVA
Implementation of T - Test
Implementation Using Correlation
Implementation Using Regression
Course Certificate

Secure Video
111
Certificate
1
Cost: 5000

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Course Duration:-16h 11m