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Predictive Modeling| Statistical Analysis: Minitab and Excel

Learn predictive modeling & statistical analysis with Minitab & Excel. Gain data-driven insights for better decision-making.

4.6(3)
120students
4h 25m
Certificate
EDUCBA Bridging the Gap
EDUCBA Bridging the GapLearn real world skills online

Course Content

Predictive Modeling| Statistical Analysis: Minitab and Excel is an all-levels Udemy course taught by EDUCBA Bridging the Gap. It runs 4h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 3 reviews, with 120 students enrolled. It is a paid course, first published December 2024.

Predictive Modeling & Statistical Analysis: Unlock Data Insights with Minitab & Excel

Gain valuable skills in predictive modeling and statistical analysis to drive informed decisions across various industries. This comprehensive course empowers you to effectively utilize Minitab and Excel for data analysis, trend identification, and building robust predictive models. Learn from real-world datasets sourced from prominent companies like Infosys, Reliance, and Colgate Palmolive.


Course Modules:

  • Introduction to Predictive Modeling with Minitab: Begin your journey with a clear understanding of predictive modeling principles and how Minitab facilitates statistical analysis. Explore the software's interface and its role in data-driven decision-making.

  • Minitab Basics: Getting Started: Master the fundamental features of Minitab. Learn to compute column statistics, navigate the software efficiently, and leverage the Help and Assistant tools for guided data analysis.

  • Descriptive Statistics & Data Summarization: Dive into descriptive statistics using practical case studies from Reliance and Infosys. Learn to summarize data, calculate central tendencies, and extract meaningful insights. Practice hypothesis testing with t-tests for comparative analysis.

  • Chi-Square & ANOVA Testing: Explore Chi-square tests and Analysis of Variance (ANOVA) to assess statistical independence and compare group means. Real-world examples ensure you can confidently apply these powerful techniques for data comparison.

  • Correlation Analysis: Understand the relationships between variables through in-depth correlation analysis. This section breaks down the process into manageable parts, enabling you to effectively quantify and interpret associations within datasets.

  • Linear Regression Modeling: Build and interpret linear regression models using examples from companies like Tech Mahindra, Colgate Palmolive, and BSE. Gain both theoretical understanding and practical expertise in applying regression to real-world data.

  • Excel for Statistical Analysis (Analysis ToolPak): Conclude with an introduction to using MS Excel for regression analysis. Learn to install and utilize the Analysis ToolPak add-in for performing essential statistical computations, providing a versatile alternative for data analysis.


Course Conclusion:

This course provides you with the essential tools and techniques for performing predictive modeling and statistical analysis using Minitab and Excel. By blending theoretical concepts with practical applications, you'll be well-prepared to tackle complex data challenges and make data-driven decisions.

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