Empowering Analysts. Elevating Insights. Driving Decisions.
KR-Labs is your gateway to mastering the KRL Analytics Suite—a comprehensive platform for transforming raw data into actionable intelligence. Designed for analysts, researchers, and institutional teams, our tutorials provide structured learning paths that combine hands-on guidance, real-world applications, and collaborative knowledge sharing.
Whether you're exploring economic trends, building interactive dashboards, or evaluating policy impacts, KR-Labs equips you with the expertise and tools to make confident, data-driven decisions.
Practical Applications
Turn complex datasets into clear insights that drive business strategy, inform policy decisions, and advance research objectives.
Collaborative Learning
Join a vibrant community of analysts and contributors who share knowledge, datasets, and best practices to accelerate collective growth.
Institutionally Trusted
Developed with academic rigor and professional standards, our platform serves both individual learners and enterprise teams seeking reliable analytics solutions.
Flexible Pathways
Progress from foundational concepts through advanced analytics, machine learning, and production-grade systems at your own pace.
Start your analytics journey by mastering the fundamentals. Learn to connect, load, and explore datasets from trusted sources including the Federal Reserve, U.S. Census Bureau, and World Bank. Build your first visualizations and develop confidence in working with economic and social data.
Deepen your expertise by combining multiple data sources, conducting time series analysis, and creating compelling geographic visualizations. Master the techniques that transform raw data into meaningful insights for strategic decision-making.
Apply sophisticated methodologies to evaluate real-world scenarios. Learn difference-in-differences, synthetic control methods, and regression discontinuity designs to rigorously assess policy impacts and economic interventions.
Transition from analysis to implementation. Build interactive dashboards, deploy machine learning models, develop data APIs, and optimize performance for enterprise-scale applications.
Our comprehensive tutorial library covers 8 core domains with 29 interactive notebooks spanning 33 specialized topics:
Economic & Social Fundamentals
Income analysis, employment trends, education metrics, housing dynamics, and health indicators
Data Integration & Connectivity
Connect to Federal Reserve (FRED), Census Bureau, Bureau of Labor Statistics, World Bank, and OECD data sources
Advanced Analytics
Time series forecasting, causal inference methodologies, machine learning applications, and network analysis
Geospatial Intelligence
Spatial econometrics, interactive mapping, geographic clustering, and regional analysis
** Business Applications**
Consumer behavior, industry structure, entrepreneurship, innovation ecosystems, and digital economy insights
Policy & Impact Evaluation
Difference-in-differences, synthetic control methods, regression discontinuity, and program effectiveness assessment
Equity & Justice Analysis
Environmental justice, public safety, transportation equity, and social mobility metrics
Production & Deployment
Dashboard development, API creation, containerization, and enterprise-scale optimization
View Complete Tutorial Index →
1. Access the Tutorials
Clone the repository and open any notebook in Jupyter Lab or Jupyter Notebook to begin your learning journey.
git clone https://github.com/KR-Labs/krl-tutorials.git
cd krl-tutorials
pip install -r requirements.txt jupyter jupyterlab
jupyter lab2. Choose Your Path
Start with beginner fundamentals or dive directly into topics relevant to your work. Each tutorial is self-contained with clear learning objectives and practical exercises.
3. Learn by Doing
Every tutorial combines conceptual explanation with hands-on code examples. Practice with real datasets, complete exercises, and build skills progressively.
4. Engage with the Community
Share insights, ask questions, and contribute improvements. Join discussions at github.com/orgs/KR-Labs/discussions.
- Basic Python knowledge (variables, functions, data structures)
- Statistical familiarity (descriptive statistics, basic probability)
- API keys for data sources (free registration with FRED, Census Bureau, BLS)
Complete setup instructions and data source guides are provided within the tutorials.
KR-Labs thrives on collaboration and shared expertise. By participating, you become part of a global network committed to advancing data-driven decision-making.
Contribute Your Expertise
- Share new tutorials and analytical approaches
- Propose topics that address emerging challenges
- Improve existing content with clearer explanations or additional exercises
- Report issues and suggest enhancements
Connect with Peers
- Collaborate with analysts, researchers, and data scientists
- Exchange insights on methodologies and best practices
- Access curated datasets for practice and experimentation
Shape the Future
- Influence the direction of tutorial development
- Help build resources that serve diverse analytical needs
- Participate in a community dedicated to open, responsible analytics
Read Contributing Guidelines →
Documentation Hub
Comprehensive guides, API references, and best practices at krlabs.dev
Community Discussions
Ask questions, share insights, and connect with other users at github.com/orgs/KR-Labs/discussions
Direct Support
Report issues at github.com/KR-Labs/krl-tutorials/issues or contact [email protected]
Practice Datasets
Access curated economic, demographic, policy, and geographic datasets in the datasets/ directory—all with open licensing and proper attribution.
KR-Labs embraces dual licensing to maximize accessibility and encourage responsible use:
All Python code, scripts, and technical implementations are available under the MIT License, enabling:
- Commercial and proprietary use
- Modification and redistribution
- Integration into enterprise systems
- No requirement to open-source your projects
Tutorials, documentation, and educational materials are licensed under CC-BY-SA 4.0, supporting:
- Educational and training applications
- Adaptation for institutional curricula
- Commercial use with attribution
- Community-driven improvements (derivative works must share alike)
Quick Reference:
Building software? Use code under MIT terms.
Teaching or training? Use content under CC-BY-SA 4.0.
Both? Follow respective license terms for each component.
View Complete License Details →
krl-open-core
Core utilities and foundational tools for analytics workflows
krl-data-connectors
Seamless API integrations with major economic and social data sources
krl-model-zoo
Pre-built statistical and machine learning models for rapid deployment
krl-dashboard
Interactive visualization and dashboard frameworks for stakeholder communication
KR-Labs tutorials are developed collaboratively by academic researchers, industry practitioners, and open-source contributors committed to democratizing access to professional-grade analytics capabilities.
KR-Labs™ is a trademark of Quipu Research Labs, LLC, a subsidiary of Sundiata Giddasira, Inc.
© 2025 KR-Labs. All rights reserved.
SPDX-License-Identifier: MIT AND CC-BY-SA-4.0
Discover the power of analytics. Learn collaboratively. Transform data into decisions.
