Identify two examples of real-world problems that you have observed in your personal, academic, or professional life that could benefit from data driven solutions. Explain how you would use data/statistics and the steps you would take to analyze each problem. You may also choose topics below (or examples from the weekly content) to help support your response: Productivity at work. Financial decisions and budgeting. Health and nutrition. Political campaigns. Quality testing in products. Human resource policies. Algorithms for programming/coding. Accounting & financial policies. Crime reduction and trends. Environmental protection / Emergency preparedness.
Identify two examples of real-world problems that you have observed in your personal, academic, or professional life that could benefit from data driven solutions. Explain how you would use data/statistics and the steps you would take to analyze each problem. You may also choose topics below (or examples from the weekly content) to help support your response: Productivity at work. Financial decisions and budgeting. Health and nutrition. Political campaigns. Quality testing in products. Human resource policies. Algorithms for programming/coding. Accounting & financial policies. Crime reduction and trends. Environmental protection / Emergency preparedness.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Identify two examples of real-world problems that you have observed in your personal, academic, or professional life that could benefit from data driven solutions. Explain how you would use data/statistics and the steps you would take to analyze each problem. You may also choose topics below (or examples from the weekly content) to help support your response:
- Productivity at work.
- Financial decisions and budgeting.
- Health and nutrition.
- Political campaigns.
- Quality testing in products.
- Human resource policies.
Algorithms forprogramming /coding.- Accounting & financial policies.
- Crime reduction and trends.
- Environmental protection / Emergency preparedness.
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