Course · Data & Analytics
AI Analytics & Reporting
Analyze data with AI tools — ChatGPT for insights, Python for processing, automated dashboards, and smart reporting.
- 1 free lesson every day
- Verifiable certificate on completion
- From Data-Curious up to AI Fluent
- Personalized to you
Start learning today
Free to start — your first lesson is 5 minutes.
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AI analytics, explained clearly in 15 languages
The interface, Kai’s guidance, and every explanation adapt to your language. Focus on SQL, Python, dashboards, and reporting—not translating technical terms.
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ქართულიWhy other learning paths stall
You studied the tools. The data still feels difficult.
Tutorials never became real analysis
You followed SQL, Python, or dashboard demos but struggled when your own dataset was messy and the business question was unclear.
AI gave you answers you could not trust
ChatGPT produced code, charts, or conclusions quickly. Checking its logic, assumptions, and metrics took much longer.
Generic courses repeated the wrong material
Beginner content covered concepts you knew, while advanced lessons skipped the gaps that were actually holding you back.
Dashboards did not drive decisions
You built charts and reports, but stakeholders still asked what changed, why it mattered, and what they should do next.
Your path to mastery
Start at your real level. Keep progressing to AI analytics mastery.
A short placement skips what you already know. From there, focused lessons build your ability to query, analyze, automate, govern, and communicate data with AI.
Where are you today?
Today
You have data questions but rely on others to query, clean, or explain the numbers.
In 1 month
With a daily five-minute lesson, you can move into Querying: using core data, SQL, spreadsheet, and statistics concepts to answer defined questions.
At mastery
You can design, review, and communicate governed AI analytics workflows from raw data to decision-ready reporting.
Find the gaps between your current workflow and mastery
Take the placement, skip familiar material, and begin with the skills that need attention.
How Kampster works
A direct route from your current level to verified capability
You do not restart from lesson one or finish after watching a fixed playlist. The course keeps adapting until you reach the top of the proficiency scale.
Find your real level
A roughly two-minute placement checks what you can already do across data, AI-assisted analysis, reporting, and governance. Demonstrated skills are skipped.
Practice for five minutes with Kai
Complete interactive lessons shaped around your gaps, goals, and pace. Ask Kai questions, inspect analyses, and rehearse decisions without being rushed.
Verify what you can do
Your level is assessed through demonstrated skills. Reach mastery to earn a verifiable, shareable certificate based on capability—not watch time.
Inside each lesson
Practice the decisions analysts make with AI
Every activity connects methods to realistic data work, from cleaning a CSV to defending an executive recommendation.
Worked analyses, end to end
Step through a business question from SQL query and Python cleanup to visualization, interpretation, and stakeholder summary.
Interpret-the-data quizzes
Read tables, distributions, charts, GA4 insights, and AI-generated findings. Decide what the evidence supports—and what it does not.
Decision scenarios with Kai
Choose metrics, challenge an AI conclusion, respond to a stakeholder, or decide whether a dashboard is ready to publish.
Method and terminology flashcards
Recall concepts such as joins, variance, semantic layers, data quality checks, agentic workflows, and ROI measurement.
Review before concepts fade
Spaced repetition brings back statistical methods, SQL patterns, governance rules, and reporting principles when you need reinforcement.
Custom lessons for your next task
Create focused practice for a dataset, metric dispute, Python error, dashboard review, or leadership report in about 30 seconds.
Built around your work
The course adapts to what you know, forget, ask, and need
The Kampster engine continuously adjusts your route instead of forcing every learner through the same sequence.
The Kampster engine
Your demonstrated gaps
The placement and lesson checks identify whether you need SQL foundations, stronger interpretation, better automation, or deeper governance.
Your retention pattern
Key methods and definitions return just before you are likely to forget them, with more review where recall is weaker.
Your questions for Kai
Ask why code failed, whether a conclusion is justified, or how to explain a metric. Kai responds patiently and corrects without judgment.
Your analytics context
Examples and custom lessons can reflect your datasets, stakeholders, reporting tools, and the decisions your organization faces.
13 modules · 103 lessons
A full AI analytics curriculum that arrives when you are ready
Move from data and SQL essentials through statistics, pandas, visualization, AI-assisted coding, BI copilots, GA4 reporting, semantic layers, data quality, Oracle Analytics Cloud, storytelling, agentic workflows, governance, and ROI. You see the material your next level requires—not a backlog of homework.
Data & SQL Essentials
Query a real dataset with SQL to answer a concrete business question and share the result.
Statistics & Spreadsheet Layer
Compute and interpret descriptive statistics in a spreadsheet to summarize a business dataset.
Python Data Wrangling
Load, clean, and summarize a CSV dataset using Python and pandas to produce a reproducible analysis script.
Python Visualization & EDA
Produce a visual exploratory analysis of a dataset using Python and communicate findings in a short written summary.
AI-Assisted Code Generation
Use an LLM to draft, debug, and refine Python analytics code, reducing scripting time by at least half on a real task.
BI Dashboards & Copilots
Build and publish an interactive BI dashboard using an AI-assisted tool and present it to a simulated stakeholder.
GA4 AI Reporting
Configure and interpret GA4 AI-generated insights for a digital property and extract a concrete optimization recommendation.
Semantic Layer & Metric Governance
Define and enforce a governed metric in a semantic layer tool so that all downstream AI queries use a single consistent business definition.
Data Pipeline & Quality AI
Build a lightweight automated data pipeline that uses AI to flag quality issues before data reaches a dashboard.
Oracle AI Analytics Cloud
Configure and use Oracle Analytics Cloud (OAC) AI features to generate an executive-ready report from enterprise data.
Smart Reporting & Storytelling
Transform a completed data analysis into a stakeholder narrative that drives a decision, using AI to draft and refine the prose.
Agentic Analytics Workflows
Design and run a multi-step agentic workflow that executes a full EDA cycle autonomously and delivers a reviewed output.
AI Governance & ROI Measurement
Implement a governance checklist for an AI analytics system and calculate and communicate its business ROI to a leadership team.
Your task, turned into practice
Create a custom lesson in about 30 seconds
Type a real scenario and Kai builds focused practice around it. Try: “Help me clean this sales CSV” · “Check my dashboard metric logic” · “Explain this GA4 traffic drop” · “Debug my pandas groupby” · “Draft my executive data story”.
Whatever’s coming up — the lesson exists before your coffee’s ready.
Questions, answered
What to expect from AI Analytics & Reporting
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AI Analytics & Reporting leaderboard
See who is leading the course
The live leaderboard recognizes learners progressing toward the highest verified level in AI-assisted analytics and reporting.
Nicoleta
100 / 100
Ansm
100 / 100
Ju
100 / 100
Put your current analytics skills to the test
Find your level in about two minutes, skip what you know, and start closing the gaps with Kai.