AI in
Data Analytics
AI in Data Analytics is a 1-month bootcamp for data analysts, BI specialists, reporting professionals, and analytics teams who want to use AI not just for faster answers, but for cleaner analysis, reusable workflows, and smarter data products.
What is this course
A STRATEGIC UPGRADE
You already know data.
Now learn how AI changes analytics.
This course teaches you how to use AI across the full analytics workflow: from exploring messy datasets and writing SQL/Python, to building BI agents, governed metrics, reusable tools, and AI-powered data apps.
In 8 practical sessions, you’ll learn how to work with AI safely, validate its outputs, avoid hallucinated analysis, and turn one-time conversations into repeatable analytics systems.
- 01
Understand AI deeply
Know what's under the hood of every marketing tool you use so you stop buying wrappers at 10× markup and believing outputs you shouldn't trust.
- 02
Apply it strategically
Learn which tools win which jobs: research, content, paid, lifecycle, analytics, automation. Not opinions - evidence-backed frameworks.
- 03
Build a system
Finish the course with a real AI marketing stack design, including prompts, an evaluation set, an automated workflow, and an ethics policy.
Who is this for
BUILT FOR DATA PROFESSIONALS WHO WANT TO WORK SMARTER WITH AI
Data Analysts
Who want to use AI for EDA, SQL, Python, pandas analysis, stakeholder requests, and faster insight generation.
BI Specialists
Who work with dashboards, metrics, reporting, and want to understand how BI agents and governed metrics can support decision-making.
Reporting Specialists
Who regularly answer recurring business questions and want to turn repeated analysis into reusable templates and mini-tools.
Product Analysts
Who need to explore product data, validate patterns, explain insights, and build clearer data-backed recommendations.
Business Analysts
Who work between stakeholders and data teams and want to translate business questions into better analysis workflows.
Analytics Team Leads
Who want to understand AI risks, governance, validation, and how to introduce AI into analytics processes responsibly.
Curriculum
EIGHT SKILLS.
ONE MONTH.
- 01
AI-Native Analytics Foundations
- 02
AI-Assisted EDA with DIG Framework
- 03
Coding Assistant for SQL and Python
- 04
From AI Conversations to Reusable Software
- 05
MCP for Analysts
- 06
BI Agents and Governed Metrics
- 07
From Notebook to Data App
- 08
Capstone: AI Analyst Assistant Demo
Final Project
YOU DON’T GRADUATE WITH A CERTIFICATE. YOU GRADUATE WITH AN AI ANALYST ASSISTANT.
In the final session, you’ll present a practical AI-powered analytics workflow or assistant designed for a real data use case.
Join the Bootcamp- 01
AI Analytics Workflow
A clear workflow showing how AI supports data exploration, SQL/Python analysis, validation, and final insight delivery.
- 02
Tool Stack
A structured prompt system, coding assistant setup, and tool stack for solving analytics tasks more consistently.
- 03
Metric Catalog
A small governed catalog of business metrics with definitions, logic, source tables, and validation rules.
- 04
AI-Assisted Data App
A simple Streamlit app with filters, charts, summary table, AI-generated narrative, source references, and limitations.
- 05
Safety & Validation Guide
A practical guide showing where AI can be trusted, where outputs must be checked, and how to avoid unsupported claims
Start your journey at ACA X
Master AI skills.
Build your future.
Lead the change.
Course Fee: 100,000 AMD
Get up to 100,000 AMD back if you submit your annual tax declaration and have income tax.
Secure your spot now
Add your details and proceed to payment.
The program manager will contact you shortly with all the details.