Aptus AI ExpertiseData Analysis
Aptus AI Expertise · Data Analysis
Applied AI for Data Analysis
Use AI to accelerate analysis without skipping data quality, uncertainty, or validation.
Public program · In person
AI practice space for Data Analysis
From tasks to performance
01Tasks
02Workflow
03Controls
Application roadmap3 priorities
123
01 day
01hands-on day
20–30learners
04working outputs
30–90day action plan
Who this is for
Data professionals seeking faster analysis and more careful conclusions
A standard public program for analysts and functional managers. Companies may also book group coaching or a customized program around internal data and reporting.
See tailored solutions for enterprises
Finance, operations, and functional analysts
02Managers who regularly make data-informed decisions
03AI in the flow of work
Practice on real tasks, workflows, and role-specific assistants
Learners do not study AI in the abstract. They apply it to recurring work, high-stakes tasks, automation, and a governed assistant for their function.
Accelerate daily data work
Use AI to support data preparation, queries, formulas, and result communication.
- Clean, standardize, and draft formulas and queries
- Create charts, summaries, and recurring reports
Analyze difficult questions with validation
Use AI to expand analysis while showing calculations, assumptions, and limits.
- Detect anomalies and analyze causes and scenarios
- Turn findings into decision-oriented recommendations
Automate data and reporting workflows
Connect recurring steps from data intake to checks, refreshes, and alerts.
- File intake → quality checks → dashboard refresh
- Create recurring reports and anomaly alerts
Build a data AI assistant
Build an assistant over the data catalog and governed semantic layer.
- Ask for metrics in natural language with sources and calculations
- Explain metric definitions, limitations, and missing data
Business outcomes
What learners can put to work
Clear analysis questions
Connect metrics to decision context instead of open-ended analysis.
Checked data
Create a small data contract with sources, fields, limits, and quality rules.
Explainable insight
Show calculations, assumptions, and uncertainty.
Actionable decision memo
Turn analysis into recommendations and follow-up questions.
International credential
Learners can register for the AI+ Data™ exam
This is a separate learning and assessment path for learners who need an international credential.
AI+ Data™
AI CERTs®
Learning path
Forty hours online plus a proctored exam
Suitable for
For learners who need data science, statistics, Python/R, and machine learning foundations.
Program architecture
One hands-on day - Five modules
Each module produces an input for the next, ending in a 90-day action roadmap.
01 · Frame
Decision question, metric, and data source
Define the question, measure, and usable data before analysis.
Analysis briefMetric tree
02 · Apply AI
Data preparation, formulas, and queries
Use AI for cleaning, standardization, formulas, and queries, then validate each step.
Data quality checklistValidation log
03 · Analyze
Anomalies, causes, and decision reporting
Analyze trends, anomalies, causes, and scenarios with charts and a limitations-aware brief.
Decision chartAnalysis brief
04 · Automate
Reporting workflow and data assistant
Design checking, refresh, reporting, alerting, and a sourced assistant that shows calculations.
Reporting automation mapData assistant prototype
05 · Control
Data governance and adoption plan
Confirm metric definitions, access, quality rules, human review, and impact metrics.
Data guardrails30-day adoption plan
Working outputs
AI-enabled data analysis toolkit
Each learner leaves with reusable outputs for the work of their function.
Output 01
One analysis brief and metric tree
Output 02
One data quality checklist and validation log
Output 03
One chart and decision-ready summary
Output 04
One automated reporting workflow and AI data-assistant template
FAQ
Questions before joining the program
Is the one-day Aptus program equivalent to a 40-hour technical credential?+
No. Aptus focuses on work application. The technical path is a separate option for deeper coverage.
Is coding required?+
Not for the Aptus public program. Technical credential selection depends on the learner's background and goals.
Program information
Get the full brochure and intake schedule
Organizations may book group coaching for data teams or a customized program around their data sources, metrics, and reporting workflow.