Your strategic partner in reliable statistical analysis

SQR Data Solutions is a statistical analysis firm based in North Carolina, specialized in delivering reliable and accessible solutions for businesses, educational institutions, students, government agencies, and social organizations at both national and international levels.

Your Data, Our Expertise
Committed to Your Success

Based in North Carolina, SQR Data Solutions is a leading statistical analysis firm, recognized for its technical excellence, innovation, and social commitment. We offer reliable and customized solutions that promote knowledge, efficiency, and strategic decision-making at both national and international levels. Our team includes professionals with over 20 years of experience, a multidisciplinary approach, and cutting-edge technology serving key sectors of development.

Location Details

SQR Data Solutions LLC is headquartered in North Carolina, serving various sectors with reliable statistical analysis and affordable solutions.

Address

123 Data Drive, NC

Hours

9 AM - 5 PM

woman wearing yellow long-sleeved dress under white clouds and blue sky during daytime

SQR Data Solutions provided exceptional analysis that greatly improved our decision-making process and outcomes.

John Doe

A man in a suit is working at a desk with a dual-monitor setup showing SEO presentation slides and data charts. The office environment is bright, with natural light coming from a nearby window, and a Rubik's cube is placed in front of the monitor.
A man in a suit is working at a desk with a dual-monitor setup showing SEO presentation slides and data charts. The office environment is bright, with natural light coming from a nearby window, and a Rubik's cube is placed in front of the monitor.

Their reliable and affordable services helped our organization achieve significant improvements in data management and insights.

Jane Smith

A textbook is open to Chapter 6, titled 'Regression Models for Overdispersed Count Response.' The page discusses various statistical models, including the negative binomial regression model, providing mathematical explanations and theoretical backgrounds.
A textbook is open to Chapter 6, titled 'Regression Models for Overdispersed Count Response.' The page discusses various statistical models, including the negative binomial regression model, providing mathematical explanations and theoretical backgrounds.
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