Description

A focused course, tailored for you

Building Modern Public-Sector Data Analytics and Feasibility-Study Practice (Civic Data + KNIME + AI + Procurement + Grant + Multi-Department)

Build the modern public-sector data analytics and feasibility-study practice in 10 weeks. Civic data + KNIME + AI + procurement + grant + multi-department.

Public-sector data analytics and feasibility-study practice has shifted: civic-data architecture, modern analytics tooling (KNIME, Tableau, Power BI, open source), AI-augmented analysis, procurement and grant-budget modelling, multi-department coordination, and citizen-engagement reporting. Analysts who build the modern practice take the senior project work. Here is the 10-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Public-sector data analytics and feasibility-study practice at counties, municipalities, special districts, school districts, and state agencies (Dane County, King County, Cook County, Travis County, Maricopa County, San Diego County, Orange County, Hennepin County, Mecklenburg County, Multnomah County, Tarrant County, etc) has shifted in 2024-2026.

Civic-data architecture (open data portals, internal data warehouses, departmental analytics platforms), modern analytics tooling (KNIME, Tableau, Power BI, Looker, Apache Superset, JupyterLab), AI-augmented analysis (AI-driven hypothesis generation, AI-driven pattern detection in transactional and demographic data), procurement and grant-budget modelling (federal-grant alignment, state-grant alignment, county-fund alignment, multi-source-fund tracking), multi-department coordination (Finance, IT, Public Health, Human Services, Public Works, Sheriff, DA, Parks, Library), and citizen-engagement reporting all need to land at the analyst layer.

Analysts who build the modern practice take the senior project work. Analysts who stay on classic spreadsheet-only patterns watch the senior work shift to peers.

This course teaches the 10-week build of modern public-sector data analytics and feasibility-study practice: civic-data architecture, analytics tooling modernisation, AI-augmented analysis framework, procurement and grant-budget modelling, multi-department coordination, citizen-engagement reporting, and the executive-engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific county or agency.

What you walk away with

A documented civic-data architecture.
An analytics-tooling modernisation plan.
An AI-augmented analysis framework.
A procurement and grant-budget modelling framework.
A multi-department coordination model.
A citizen-engagement reporting framework.
An executive-engagement model.
A 10-week build plan.

The 12 modules

Module 1. Public-sector analytics landscape 2026

Detailed walkthrough of the public-sector analytics landscape in 2026: civic-data trends across peer counties and agencies, AI-augmented analysis patterns at peer agencies, federal grant-funded modernisation programmes (Treasury State and Local Fiscal Recovery Funds, DOJ JAG grants, HHS grants, DOT grants, DOE grants), state grant-funded programmes, modern tooling adoption patterns, citizen-engagement patterns, and the strategic-level decisions facing public-sector analysts.

Module 2. Civic-data architecture

Build the civic-data architecture: open data portal design (Socrata, CKAN, in-house), internal data warehouse design (Snowflake, BigQuery, Redshift, on-prem PostgreSQL), departmental analytics-platform design, citizen-survey integration, transactional-data integration (financial, permit, license, court, public-health, education), and the integration architecture. Three civic-data architecture patterns at peer counties.

Module 3. Analytics tooling modernisation

Build the analytics tooling modernisation plan: KNIME pattern for visual-flow analytics, Tableau pattern for departmental dashboards, Power BI pattern for Microsoft-anchored counties, Looker pattern for Google-anchored counties, Apache Superset pattern for open-source-anchored counties, JupyterLab pattern for data-scientist analysts, and the tool-selection framework. Three tooling patterns at peer counties.

Module 4. AI-augmented analysis framework

Build the AI-augmented analysis framework: AI-driven hypothesis generation from civic data, AI-driven pattern detection in transactional and demographic data, AI-driven document analysis (council minutes, public-comment, news, RFP responses), AI-driven forecast generation, AI-driven feasibility-analysis support, AI-augmented report drafting, and the integration with broader analytics workflow.

Module 5. Procurement and grant-budget modelling

Build the procurement and grant-budget modelling framework: federal-grant alignment (Treasury SLFRF, DOJ JAG, HHS, DOT, DOE, EPA, USDA, FEMA), state-grant alignment, county-fund alignment, multi-source-fund tracking, procurement-pipeline modelling, vendor-spend analytics, contract-performance analytics, and the integration with broader Finance department workflow. The framework that wins grant-funded modernisation.

Module 6. Multi-department coordination

Build the multi-department coordination model: Finance department engagement, IT department engagement, Public Health engagement (CDC alignment, state DOH alignment), Human Services engagement (HHS programs, state-DSS alignment), Public Works engagement, Sheriff and DA engagement, Parks and Library engagement, and the cross-department data-sharing framework. Three coordination patterns at peer counties.

Module 7. Citizen-engagement reporting framework

Build the citizen-engagement reporting framework: open-data publishing, citizen-dashboard design, citizen-survey design and analysis, public-comment analysis, community-meeting analytics, social-media analytics, and the integration with broader citizen engagement. The framework that drives trust and engagement.

Module 8. Programme evaluation framework

Build the programme evaluation framework: logic-model design, theory-of-change design, outcome-measurement framework, randomised-evaluation framework where applicable, quasi-experimental evaluation framework, qualitative-research framework, cost-benefit-analysis framework, and the integration with broader programme management. The framework that drives evidence-based policy.

Module 9. Data governance and privacy

Build the data governance and privacy framework: state-privacy law application (CCPA/CPRA for CA counties, CDPA for VA, CPA for CO, UCPA for UT, CTDPA for CT, ICDPA for IN, OCPA for OR, TDPSA for TX, FDBR for FL, MTCDPA for MT, etc), HIPAA application where Public Health touches PHI, FERPA application where school-district data touches, criminal-justice-data sensitivity (CJIS Security Policy), retention schedules, and the integration with broader records management.

Module 10. Vendor-management and tooling

Build the vendor-management and tooling: cooperative-purchasing-agreement framework (NASPO ValuePoint, Sourcewell, OMNIA Partners, GSA Schedules), state-cooperative-agreement framework, vendor-due-diligence framework, vendor-performance management, vendor-renewal framework, and the integration with broader procurement.

Module 11. Executive and political engagement

Build the executive and political engagement: County Executive partnership, County Board partnership, department-head engagement, public-meeting engagement, intergovernmental engagement (cities + special districts + school districts + state + federal), and the integration with broader county leadership.

Module 12. Your 10-week build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: public-sector analytics landscape + civic-data architecture. Weeks 3-4: analytics tooling modernisation + AI-augmented analysis framework. Weeks 5-6: procurement and grant-budget modelling + multi-department coordination. Weeks 7-8: citizen-engagement reporting + programme evaluation. Weeks 9-10: data governance and privacy + vendor management + executive engagement. Deliverable: modern public-sector data analytics and feasibility-study practice.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.

Modules 2 to 4 produce civic-data architecture, analytics tooling modernisation, and AI-augmented analysis.

Module 5 covers procurement and grant-budget modelling.

Module 6 covers multi-department coordination.

Module 7 covers citizen-engagement reporting.

Module 8 covers programme evaluation.

Module 9 covers data governance and privacy.

Module 10 covers vendor management.

Module 11 covers executive engagement.

Module 12 covers the 10-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates and worked examples for civic-data architecture, analytics tooling modernisation, AI-augmented analysis framework, procurement and grant-budget modelling, multi-department coordination model, citizen-engagement reporting framework, programme evaluation framework, data governance and privacy, vendor management, executive engagement.
A hand-built implementation playbook generated for your specific county or agency.
Three worked examples of modern public-sector data analytics practices at peer counties.
Scripted talking points for the County Executive and Board engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Civic-data architecture scaffold drafted.

Week 4: Analytics tooling + AI-augmented analysis designed.

Week 8: Procurement/grant + multi-department coordination + citizen-engagement operational.

Week 10: Modern practice in operation.

Before and after

Before

Your analytics practice handles classic spreadsheet-based feasibility studies. KNIME and modern tooling are talked about but not embedded. AI in analysis is reactive. Multi-department coordination is patchy. Senior project work goes to peers shipping the modern practice.

After

A modern public-sector data analytics and feasibility-study practice is in operation. Civic-data architecture, analytics tooling modernisation, AI-augmented analysis framework, procurement and grant-budget modelling, multi-department coordination model, citizen-engagement reporting framework, programme evaluation framework, data governance and privacy, vendor management, executive engagement are all designed.

What happens if you do not address this

Analysts without the modern practice miss the senior project work. Federal grant-funded modernisation programmes (Treasury SLFRF, DOJ JAG, HHS, DOT, DOE) are funding peer-county modernisation.

Who it is for

For senior analysts, lead analysts, programme analysts, financial-analyst leads, and analytics managers at counties, municipalities, special districts, school districts, and state agencies.

Who this is NOT for. Pure operational support roles without analytics scope. Analysts at firms with no public-sector business. Pure academic research roles.

How it arrives

Text-based course via LMS, plus downloadable templates and worked examples and the hand-built implementation playbook.

Time investment. Roughly 18 hours of reading and 60 to 120 hours of analyst effort across the 10-week build.

Why $199 is the right number

External public-sector analytics consultants (Big4 government practices, specialist firms like Berkeley Research Group, GovEx at Bloomberg Philanthropies, Tyler Technologies consulting) charge $200K-$1M for analytics-modernisation programmes. $199 buys the focused playbook plus the implementation document for your specific county or agency.

FAQ

Will this replace hiring a public-sector analytics consultant?

Partially. It teaches the modern practice. You may still want specialist input for advanced data-warehouse architecture.

What if my agency is state-level (not county-level)?

Module 6 covers state-anchored coordination patterns.

Does this cover school-district-specific analytics?

Module 6 covers school-district patterns.

What about cooperative-purchasing frameworks specifically?

Module 10 covers cooperative-purchasing in depth.

What is in the implementation playbook for me specifically?

Civic-data architecture tailored to your specific county or agency; tooling modernisation matched to your existing stack; a 10-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.