Products

Numerical Analytics is a leading
provider of Modern Education Technology,
Analytics and Business
Intelligence Solution.

Analytics Software

Innovative Software Solutions for a Smarter Future

Analytics Software

Handheld

Handheld

Precision and Power in Every Calculation

STEM

A Complete Solution For Modern Education

STEM

Analytics Software

Analytics Software

Innovative Software Solutions for a Smarter Future

Handheld

Handheld

Precision and Power in Every Calculation

STEM

STEM

A Complete Solution For Modern Education

An Overview

Revolutionizing Business Processes with
Advanced Analytics and Education
Technology for Better Decision Making.

Analytical

We offer a diverse range of analytical products and software in the field of analytics.

Education

In partnership with Numerical Analytics, Texas Instruments introduces a selection of universally recognized handheld devices.

Professional Development

Numerical Analytics Education Solutions offers comprehensive training services to enhance analytical skills.

Our Technology Partners

We've established enduring
collaborations with the world's
most forward-thinking brands.

Our Clients

Our Clients Trusted
by Visionaries Worldwide

Testimonials

Every satisfied customer
brings a unique perspective
to the table.

This section celebrates this diversity, showcasing a mosaic of voices from different industries, backgrounds, and challenges. This diversity not only highlights the versatility of our solutions but also resonates with a broad audience, demonstrating the universal appeal of our offerings.

Ms. Seema Pandey

Science faculty for IBDP

Mr. Andrew Teron

Director of Science Education, Chemistry Research

Ms. Greta Celine Gomes

MYP & DP Maths HOD Maths

Blogs

Stay Informed with Our Most
Recent Blog Updates!

Generalized Autoregressive Score (GAS) approach to univariate GARCH Models

This blog piece intends to introduce a new add-in (i.e.ย GASMODELU) that estimates selected univariate GARCH models within the Generalized Autoregressive Score (GAS) framework.

Principal Component Analysis for Nonstationary Series

This blog piece intends to introduce a new add-in (i.e.ย HXPRINCOMP) that implements the procedure developed by Hamilton and Xi (2022).

Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis

This research offers a novel approach that extends the application of importance-performance map analysis (IPMA)