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Statistical Analysis on Manufacturing Equipment Quality, Strength, & Accuracy
This project is curated for learners to learn the art of applying various data cleaning & data visualization techniques and statistical tests to validate hypotheses.
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Difficulty: BeginnerNo prior knowledge or experience with data required.
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Duration: Approximately 3 hours
Case Overview
- This project is curated for learners to learn the art of applying various data cleaning & data visualization techniques and statistical tests to validate hypotheses.
- As technology is evolving, it will enable businesses to adopt new ways of producing products or parts, and it is likely that this adoption will make way for future needs.Hence, it is vital to investigate and examine all the features that influence production.
- Machinery upgrade, changes in print speed, or even a change in product can all be very beneficial for manufacturers to formulate better production mechanism by using various visualization techniques and statistical inferences.
- Learn to apply Hypothesis testing on several parameters to use the results generated to perform visualizations.
What’s included
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this project on a desktop
Skills You Will Learn
Associated Learning Tasks
- The manufacturing sector is under constant pressure to increase profitability in a growingly competitive international market.
- 3D printing allows you to produce more complex shapes with less material and was originally intended mainly for prototype and one-off production, but it is quickly growing into a manufacturing process.
- As a result, it’s critical to investigate the components that influence the instances’ manufacturing or printing.
- EDA was used to evaluate the data set to investigate and summarize the primary characteristics involved in an accident, with the help of various functionalities and other data visualization techniques.
- Correlation test was performed to test the relationship between input variable: layer height and output variable: Roughness; nozzle temperature and output variable: Elongation.
- Various statistical tests such as the t-test, chi-square, ANOVA were used.
- This case can be emulated to check what all factors affect the printing accuracy, quality, and strength, and based upon the results certain measures can be incorporated to improve the output.
- Identification of significant factors can result in good levels of productivity maintained for a long period.
- Improvements to machinery, adjustments to the print speed, or even a product change can be achieved.
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.
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Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
- We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
- We also work with enterprises and universities to develop new content directed towards their industry and expertise.
