Predictive Modeling| Statistical Analysis: Minitab and Excel

Course Introduction

Predictive modeling and statistical analysis are essential for informed decision-making across industries. This course empowers you to apply Minitab and Excel to analyze data, uncover trends, and create robust models. Covering everything from descriptive statistics to regression modeling, this course provides practical examples with datasets from real companies like Infosys, Reliance, and Colgate Palmolive.

Section-wise Writeup

Section 1: Introduction

The course begins with an introduction to predictive modeling using Minitab. Students will learn the software's capabilities and gain a foundational understanding of its interface and purpose in statistical analysis.

Section 2: Getting Started

This section explores Minitab's basic features. You'll learn to compute column statistics, navigate the software's windows, and use the Help and Assistant features effectively for guided analysis.

Section 3: Descriptive Statistics

Dive into descriptive statistics with case studies from Reliance and Infosys. This section teaches how to summarize data, calculate central tendencies, and draw insights. You'll practice hands-on examples, progressing from simple statistics to hypothesis testing with t-tests for comparative analysis.

Section 4: Chi-Square and ANOVA Testing

In this section, you’ll explore Chi-square tests and Analysis of Variance (ANOVA) for assessing statistical independence and comparing group means. Examples from real-world scenarios solidify your understanding, ensuring you can apply these techniques confidently.

Section 5: Correlations

Correlations are key to understanding relationships between variables. This section covers correlation analysis in depth, breaking it down into three parts for clarity. You'll learn to quantify and interpret associations between datasets effectively.

Section 6: Linear Regression Modeling

Learn to build and interpret linear regression models with examples from companies like Tech Mahindra, Colgate Palmolive, and BSE. This section delves into the theoretical foundation of regression and applies it to real-world data, ensuring you gain both conceptual and practical expertise.

Section 7: MS Excel for Statistical Analysis

The course concludes with an introduction to using MS Excel for regression analysis. You’ll install and use the Analysis ToolPak add-in to perform statistical computations, providing an accessible alternative for analysis.

Conclusion

This course equips you with the tools and techniques to perform predictive modeling and statistical analysis using Minitab and Excel. By combining theoretical concepts with practical applications, you'll be prepared to tackle real-world data challenges.