CODEDAgentic Data Analysis Bootcamp
CODED PROFESSIONALS / BUSINESS + AI

Turn Business Data Into Decisions You Can Defend

Investigate performance, validate AI-generated insights, explore scenarios and build an agentic decision-support workflow, without learning to code.

Not a Dashboard Course. A Decision Course.
15 Sessions45 HoursEvening BootcampNo Coding Required
Apply Now
Analytical AgentILLUSTRATIVE EXAMPLE
ROWS SCANNED0CHECKS PASSED0/12SOURCES0
BUSINESS QUESTION
SOURCE DATA CHECKED
Sales by BranchProduct CostsDiscount Log
SalesGross margin
CHECKED INSIGHTDeeper discounts on two product lines explain most of the margin drop.Verified
OPTION AReduce discount depthOPTION BShift the promotion mix
HUMAN DECISIONYou review and make the callAwaiting your review

Everything You Need to Know

Five weeks of evening sessions at CODED Campus. You work through one business case from the first question to a decision you can explain. The goal is the decision, not the dashboard.

TARGET START6 DEC 2026 → 7 JAN 2027
SUN5 to 8 PM
MON
TUE5 to 8 PM
WED5 to 8 PM
THU
CODED Campus, KuwaitTarget dates, subject to admissions confirmationApply Now
BOOTCAMP FEE950 KDPay in full or choose an installment plan.Explore Payment Options
DURATION5 Weeks15 sessions
HOURS45 Scheduled Hours3 hours per session
LEVELBeginner FriendlyNo coding required
FORMATIn-PersonCODED Campus, Kuwait
SCHEDULE3 Evenings a WeekSun · Tue · Wed · 5 to 8 PM

Sound Familiar?

Most teams are not short of data. They are short of answers they can trust. Switch views to see what changes after the bootcamp.

WITHOUT THE BOOTCAMPMany Numbers, No AnswerReports show what changed. None of them explain why.
WITHOUT THE BOOTCAMPSales Up, Margins DownGrowth looks good until profit tells another story. What should management do?
WITHOUT THE BOOTCAMPAI Answers Without VerificationAI replies sound confident. Is the calculation right? Is the explanation supported?
WITHOUTReporting takes effort and is outdated by the next meeting.WITHRerun the same workflow on refreshed data.
WITHOUTHard to turn findings into a recommendation.WITHClear visuals, scenarios and a concise decision brief.
WITHOUTNo technical background to question the numbers.WITHData foundations taught in class, no coding.

Your Business Has Data. Learn How to Turn It Into Decisions.

Go beyond reports, dashboards and AI-generated answers. Investigate performance, verify findings, explore scenarios and build an AI-assisted workflow that supports defensible decisions.

01UnderstandFind out what changed, examine possible reasons and challenge misleading conclusions.You produce: An evidence-backed findings log
02BuildConfigure a repeatable AI-assisted analytical workflow using defined rules and trustworthy data.You produce: A runnable analytical agent
03DecideCompare possibilities, explain uncertainty and recommend a practical action.You produce: A scenario comparison and recommendation
ONE CASE, START TO DECISION

Sales Increased. Profit Margin Declined.

What changed, and what should management do? Follow a hypothetical retailer through the workflow you learn. Tap each step.

WHAT MAKES IT AGENTICA chatbot answers once. An analytical agent works through the question with your rules, checks itself, then stops for your decision. Watch each trait light up as you move through the steps.
1Works From a Defined Question2Uses Only Permitted Data3Chooses Its Next Check4Verifies Its Own Findings5Stops for Your Approval
STEP 1 OF 6Why are sales growing while margins are shrinking?
THE AGENT DOESRestates the question, lists the data it needs and flags information gaps.
YOU DOConfirm the decision owner, the question and when the decision is needed.
Retail Performance ReviewILLUSTRATIVE DATA
BUSINESS QUESTIONWhy are sales growing while margins are shrinking?
SALES+12%vs last quarter
GROSS MARGIN−3.1 ptsvs last quarter
AVG DISCOUNT+4.5 ptsvs last quarter
Decision owner: Commercial ManagerNeeded by: month-end review

Curriculum

5 Modules · 15 Sessions · 45 Scheduled Hours
Claude as the main AI environmentGuided intro to SQLOne business case throughout
MODULE 101 / 05Business Analysis & Data FoundationsSessions 1 to 3 · Dec 6, 8 and 9

Understand the decision, prepare trustworthy data and define meaningful performance measures.

Frame the decision owner, business question, initial hypotheses and information gaps.Takeaway: Decision brief
Understand records, data relationships, missing values, duplicates and sensitive-data boundaries.Takeaway: Prepared dataset and quality log
Define revenue, cost, margin and KPI rules; check calculations and comparisons.Takeaway: Metric dictionary and checked baseline
Business Analysis & Data Foundations visual

Apply It to Your Function

The same workflow adapts to the questions your team faces. Examples, not separate tracks.

QUESTIONWhy are actual costs or margins deviating from the plan?DATA USEDBudget vs ActualsCost CentersMonthly Ledger
INVESTIGATION · THE AGENTCompares actuals with plan by cost center and month, then checks which variances are material.
DECISION · YOUVerified variance drivers and response options.
MODULE 5 · CAPSTONE

Build an AI-Assisted Decision System. Defend the Decision Yourself.

Not a dashboard. Not a chatbot. A decision. You configure and test a bounded analytical agent that works through a recurring business question and delivers a reviewable decision package.

01Business FramingAn answerable question, decision owner, assumptions, data limits and metric definitions.
02Trustworthy InvestigationSource checks, verified calculations, corrected AI interpretations and supporting visuals.
03Forecast and AlternativesA justified forecast when suitable, plus a baseline and at least two action scenarios.
04Agentic ExecutionA working workflow that follows rules, picks a next analytical step and reruns when data changes.
05Human DecisionYour recommendation, trade-offs, a review date and your own explanation of the evidence.
Illustrative mockup. Not a trainee or client result.

Who It's For

Every function now runs on data, but few people are trained to question it. If you make or support decisions with numbers, this is for you. No programming needed.

Department Managers“Why did my team miss target this quarter?”TODAYYou receive dashboards but struggle to challenge the numbers.AFTERInvestigate independently and defend a decision.
Reporting & Business Analysts“Can this monthly analysis run itself, and still be right?”TODAYYou repeat the same investigation every reporting cycle.AFTERReusable, verified workflows and stronger decision briefs.
SME Owners“Which products actually make me money?”TODAYSales, cost and customer data are scattered, with no analytics team.AFTERCompare profitability, demand and commercial actions.
Existing AI Users“Can I trust what AI tells me about my numbers?”TODAYYou use AI for writing but rarely on real business data.AFTERMove from ad-hoc prompts to structured analytical agents.
WHAT YOU NEEDNo programming, SQL or advanced Excel. Foundations are taught in class.Basic comfort with digital files, workplace reports and numbers.A short admissions conversation to talk through your goals and fit.
PROBABLY NOT THE RIGHT FIT IF YOU WANTIntensive Python or machine-learning training, advanced BI engineering, production data infrastructure, or a guaranteed career change.See AI & Data Science or Agentic AI instead.
USEFUL ACROSSFinanceSalesMarketingOperationsHRCustomer ExperienceProcurementSupply ChainProject Management

Campus Facilities

Where you will spend the 15 sessions

Flexible Payment Plans

950 KD in full, or spread across an installment plan.

ONE PAYMENT950 KDPaid once at enrollment
Total 950 KD
Start Your AdmissionCorporate sponsorship: [Approved Terms]

Frequently Asked Questions

Quick answers before you apply.

No. The program is designed for professionals without a programming background. It introduces the data concepts and practical tools needed for the learning outcomes.

No. Advanced Excel is not a prerequisite, and the program includes guided introductory SQL practice.

An AI-supported workflow configured to investigate a defined business question using permitted data and tools, check findings, and prepare a recommendation for human review.

No. Trainees learn to review evidence, challenge assumptions and make the final decision themselves.

No. It focuses on business analysis, verification, practical forecasting and agentic decision support, rather than training machine-learning models or teaching Python.

No. Agentic Data Analysis focuses on investigating business data and supporting decisions. Agentic AI addresses broader task and workflow automation.

A working analytical decision-support workflow supported by data checks, investigated findings, scenarios and a defensible business recommendation.

Yes. You will practice explainable forecasting, baseline comparisons and uncertainty, using a prediction horizon justified by the available data.

The program uses a prepared fictional dataset so learning and testing are consistent. Use of personal or employer data is subject to privacy, permissions and classroom guidance.

Sunday, Tuesday and Wednesday, 5:00 to 8:00 PM Kuwait time, across 5 weeks and 15 sessions.

[Approved fee inclusions from CODED's admissions configuration]

Use the Apply Now button to begin the official CODED admissions process. An admissions conversation may help confirm program fit.

Agentic Data Analysis Bootcamp

Your Business Has Data. Learn How to Turn It Into Decisions.

Target start 6 December 2026 · Sun, Tue, Wed · 5 to 8 PM · CODED Campus · 950 KD
Apply NowQuestions first? Talk to admissions: +965 6079 1018 · [email protected]