Industry Use Case

Analyzing and Predicting Productivity of Manufacturing Workers

This project is curated for  learners to understand the concept of Linear Regression Model to predict a future event.

Analysing and Predicting the Productivity Performance of Manufacturing Industry Workers
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    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended

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    Duration: Approximately 4 hours

Course Overview

  • Exploratory data analysis is the crucial process of doing preliminary analyses on data in order to find patterns, identify anomalies, test hypotheses, and double-check assertions with the aid of descriptive statistic and graphical representations.
  • Productivity, a measure of efficiency calculated by dividing the outputs produced by a company by the inputs used in its production process, is an essential factor in analyzing an industry’s level of performance. As the clothing business is so large, it is important to access the productivity frequently to raise the performance standards.
  • It is very important for decision-makers in this industry to regularly monitor and foresee the productivity efficiency of the workers.
  • Learn to use various Data Visualization techniques to analyze the performance of workers and apply a robust regression model to predict their productivity.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

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Desktop Only

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Skills you will learn

Data Management

Data Visualization

Data Preprocessing

Linear Regression

Feature Engineering

Data Transformation

Associated Learning Tracks

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