Welcome to Elneuro Documentation

Whether you're new to data analytics or an experienced practitioner, our comprehensive resources will help you leverage the full power of the Elneuro platform. All content is developed to academic standards with rigorous theoretical foundations.

Recommended Learning Path

Follow this structured path to build a strong foundation in analytics:

1 Quick Start Guide
2 Statistical Fundamentals
3 Process Control (SPC)
4 Machine Learning
5 Advanced Analytics

Getting Started

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Quick Start Guide

Beginner

Get up and running with Elneuro in minutes. Learn to upload data, run your first analysis, create visualizations, and export results.

๐Ÿ“– 15 min read โœ… Hands-on
Start Tutorial
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Platform Overview

Beginner

Comprehensive tour of all Elneuro features, navigation, and capabilities. Understand the full scope of available tools.

๐Ÿ“– 20 min read ๐ŸŽฅ Video available
Explore Features
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API Documentation

Intermediate

Complete API reference for Pro and Enterprise users. Integrate Elneuro into your applications with RESTful endpoints.

๐Ÿ“– 45 min read ๐Ÿ’ป Code samples
View API Docs

Academic Learning Paths

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Statistical Process Control

Intermediate

Master the theory and application of control charts, process capability analysis, and quality management. Includes Shewhart, CUSUM, and EWMA methodologies.

๐Ÿ“– 2 hours ๐Ÿ“ Mathematical foundations
Learn SPC
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Machine Learning

Intermediate

Comprehensive coverage of supervised and unsupervised learning. From linear regression to ensemble methods and neural networks with mathematical rigor.

๐Ÿ“– 3 hours ๐Ÿงฎ Algorithm theory
Learn ML
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Time Series Analysis

Advanced

Deep dive into temporal data analysis. ARIMA, exponential smoothing, spectral analysis, and modern forecasting methods with complete derivations.

๐Ÿ“– 2.5 hours ๐Ÿ“Š Forecasting theory
Learn Forecasting
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Design of Experiments

Advanced

Scientific experimentation methodology. Full factorial, fractional factorial, response surface methodology, and Taguchi methods with ANOVA foundations.

๐Ÿ“– 2.5 hours ๐Ÿงช Experimental design
Learn DOE
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Statistical Analysis

Intermediate

Foundational statistical methods: hypothesis testing, ANOVA, regression analysis, correlation, and distribution theory with worked examples.

๐Ÿ“– 3 hours ๐Ÿ“ Theoretical foundations
Learn Statistics
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Reliability Analysis

Advanced

Product and system reliability engineering. Weibull analysis, survival curves, failure mode analysis, and life data analysis methods.

๐Ÿ“– 2 hours ๐Ÿ“Š Life data methods
Learn Reliability

50+

Tutorial Chapters

200+

Code Examples

100+

Formulas Explained

15+

Hours of Content

Developer Resources

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REST API Reference

Intermediate

Complete API documentation with authentication, endpoints, request/response formats, and error handling for programmatic access.

๐Ÿ“– 60 min read ๐Ÿ’ป OpenAPI spec
View API Docs
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Python SDK

Intermediate

Official Python client library for Elneuro. Simplify integration with type hints, async support, and comprehensive error handling.

๐Ÿ“– 30 min read ๐Ÿ“ฆ PyPI package
Get SDK
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Integrations Guide

Intermediate

Connect Elneuro with databases, BI tools, and third-party services. Includes webhooks, data pipelines, and automation recipes.

๐Ÿ“– 45 min read ๐Ÿ”ง Configuration guides
View Integrations

Reference Materials

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Glossary of Terms

Beginner

Comprehensive glossary of statistical, machine learning, and quality engineering terminology with clear definitions.

๐Ÿ“– Reference ๐Ÿ”ค 300+ terms
View Glossary
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Formula Reference

Intermediate

Quick reference for statistical formulas, control chart constants, critical values, and distribution parameters.

๐Ÿ“– Reference ๐Ÿงฎ 100+ formulas
View Formulas
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Statistical Tables

Intermediate

Critical value tables for t-distribution, chi-square, F-distribution, and control chart factors.

๐Ÿ“– Reference ๐Ÿ“‹ Complete tables
View Tables

Frequently Asked Questions

What prerequisites do I need for these tutorials? โ–ผ

Our beginner tutorials assume basic familiarity with data and spreadsheets. Intermediate content assumes college-level statistics (mean, standard deviation, basic probability). Advanced tutorials assume comfort with calculus and linear algebra. Each tutorial clearly states its prerequisites.

Are these tutorials suitable for academic coursework? โ–ผ

Yes! Our tutorials are developed to academic standards with proper mathematical derivations, citations to seminal papers, and rigorous theoretical foundations. They're suitable for undergraduate and graduate coursework in statistics, quality engineering, data science, and operations research.

Can I access tutorials without a paid subscription? โ–ผ

All documentation and tutorials are freely accessible. A free Elneuro account gives you access to practice the concepts with 100 analyses per month. Pro and Enterprise subscriptions unlock API access and higher usage limits.

How do I get help if I'm stuck? โ–ผ

You can reach our support team through the contact page. Pro and Enterprise users get priority support with faster response times. We also have in-app AI assistance that can answer questions about methodology and help troubleshoot issues.

Do you provide certificates of completion? โ–ผ

Currently, we do not offer formal certificates. However, the knowledge gained from our tutorials translates directly to industry-recognized certifications like ASQ CQE, Six Sigma, and various data science credentials.

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