The Problem We're Solving

Why Datellx Exists

Data modeling should be accessible to every student. Here's the evidence showing why no-code education is urgently needed.

The Coding Barrier Problem

Students struggle with syntax when they should be learning concepts

Traditional Approach

Coding Prerequisites

Students must learn Python/R before understanding models

Syntax Overload

Focus shifts from concepts to debugging code

Excludes Non-Coders

Biology, business, social science majors are shut out

"Many professors advise against [teaching coding] in intro data science for non-majors, considering it a distraction from important statistical topics."

— Mukherjee & Bien (2024), arXiv:2401.17647

Datellx Approach

No-Code Interface

Visual drag-and-drop modeling without programming

Concept-Focused

Students learn how models work, not syntax

Inclusive for All Majors

Biology, business, social science students can participate

"With the no-code approach, I got the opportunity to try experiments... I could focus on the problem I wanted to solve... I think I learned more about AI... and that is without any code."

— Student from Umeå University Study (JISE 2024)

Research-Backed Solution

U.S. university research demonstrates the critical need for accessible, block-based data science education

UC Berkeley Research
UC Berkeley
2022

EECS

Block-based approach to Data Science Education

Berkeley explicitly frames the problem: data science is growing, but accessibility is a barrier; they build DASIS (Data Science in Snap!) and BJDS to make DS learning possible for students without needing traditional text-based tooling/software installs.

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MIT Research
MIT
2024

App Inventor

Data science toolkits & research for democratizing data science

MIT research explicitly states the motivation: the importance of DS across fields creates a need to democratize data science; their work builds a data science toolkit inside App Inventor so learners can analyze/visualize data in a more accessible way.

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UNC Chapel Hill Research
UNC Chapel Hill
2020+

School of Information and Library Science

NSF-funded research on data literacies via block-based programming

UNC faculty received an NSF CRII grant to develop a data-focused visual, block-based programming environment, specifically to foster data literacies through iterative formative studies with youth—this is a direct "the barrier is real, and NSF is funding alternatives" signal.

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NSF Research
NSF
2023

Peer-Reviewed Research

Visual block-based programming system for data processing, analysis, and visualization

A research paper (archived on NSF's system) presents a visual block-based data programming system and reports results from workshops with children using it for data analysis through story-driven investigations. This supports the claim that visual tooling enables authentic data analysis learning earlier.

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University of Maryland Research
University of Maryland
2023

Weintrop Lab

Research mapping what tools youth use for data science

This paper is useful for showing that tooling choices matter and that curricula explicitly categorize "programming vs visual analysis tools," reinforcing your point that the interface/tooling is a key design variable in DS learning.

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The Market Opportunity

Datellx addresses a critical gap in data science education

High Schools

K-12 schools need tools to introduce data science without technical prerequisites. Only 17% of teachers have data science training.

23,000+

Public High Schools in US

~15M high school students

Source: National Center for Education Statistics

Undergraduate Non-CS

Business, biology, psychology, economics departments need accessible analytics tools for their majors.

2.2M+

Students Taking Data Courses

Each year in the US

Source: National Center for Education Statistics

New Data Science Programs

Colleges launched 897 new data science degree programs/courses in 2022 alone - showing huge demand for these skills.

897

New Programs Launched (2022)

New courses & degrees added

Source: Inside Higher Ed (2024)

The Solution Is Clear

Datellx removes coding barriers so students can focus on learning data modeling concepts and making data-driven decisions.