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Business Intelligence Analytics Job Ready Live Bootcamp

Statistical Analysis Project 1 – Production Output vs Input Factors Analysis

📌 Topics Covered

  • Production output and input factor analysis
  • Relationship between raw materials, labor, machine hours, and output
  • Descriptive statistics using Python
  • Correlation and basic statistical comparison
  • Visualization of input-output relationships

📝 Project Summary

In this project, students will analyze how different input factors affect production output. Using statistical analysis with Python, they will explore whether materials, labor hours, machine usage, or other inputs have a strong relationship with production performance. This project helps students understand how data can be used to improve manufacturing efficiency.

What You Will Learn

  • Analyze production data using Python
  • Measure relationships between input factors and output
  • Use descriptive statistics to summarize production performance
  • Apply correlation analysis to identify important factors
  • Create visualizations to explain production efficiency

 

Note to Students –

Live Classes will held on Google Meet.
Mentor will provide files, dataset in the Google Classroom.
Class video will be provided on Google Classroom.

Click “Mark as Complete” button.

Good Luck.

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