Course

Future-Proof Your Data Career: Master Agentic Analytics

Paras Doshi

Head of Data & AI (Ex-Amazon)

Sai Kumar Bysani

Guest Speaker & LinkedIn Instructor

Future-proof your data career: turn one-off analysis into a system.

AI tools change fast. The durable skill is knowing how the whole system works: choosing the right problem, giving the agent trusted context, checking its work, showing proof, and handling failure.

Without that standard, it is easy to keep watching videos, copy isolated prompts, and still not know whether your analytics agent is any good.

This two-day live course starts from zero. You will use Cursor, Claude Code, or Codex to set up a safe workspace and complete your first AI-assisted analysis. Then you will build the production path: approved context, validation, proof, human review, correction reuse, and operating controls.

You will learn directly from Paras Doshi, with Sai Kumar Bysani joining as a guest speaker. Sai is the LinkedIn Learning instructor behind Build Your First AI Data Analyst with Claude Code, and this course goes much deeper into what it takes to build a production-ready, tool-agnostic system.

Bring one recurring problem from your work, or use the shared synthetic case. You will leave with a working system and a clear standard for judging the next tool, model, or architecture your team considers.

What you’ll learn

Move from trying AI tools to building and evaluating an analytics agent your team can inspect, test, and improve.

  • Set up a safe project in Cursor, Claude Code, or Codex.

  • Give the agent approved files, context, and clear write boundaries.

  • Complete one prompt-to-analysis workflow and inspect the evidence.

  • Define the inputs, output, context, tools, and human boundary.

  • Save reusable instructions and context instead of starting from scratch.

  • Prove a fresh session can run the approved workflow.

  • Add validation, evidence, and Answer, Clarify, Review, or Refuse states.

  • Test normal, ambiguous, broken, and unsafe requests.

  • Turn a failure into a reviewed correction that a fresh session reuses.

Learn directly from Paras & Sai

Paras Doshi

Paras Doshi

Contact

Head of Data (Amazon, Opendoor)

Sai Kumar Bysani

Sai Kumar Bysani

Contact

LinkedIn Learning instructor teaching data and AI to a 300K+ community.

See all products from Paras

Who this course is for

  • Data analysts and analytics engineers who want a guided start in Cursor, Claude Code, or Codex without a software-engineering bootcamp.

  • Data and AI leaders who need a practical standard for judging whether an analytics agent is ready to test with a team.

  • Operators with a recurring analysis, report, or business question who want a repeatable workflow instead of another one-off prompt.

Prerequisites

  • No coding experience required

    We start from zero and explain the working model as we build.

  • A laptop with one supported tool

    Install Cursor, Claude Code, or Codex and confirm it can open the lab files before the course.

  • Comfort with data or business questions

    You should be comfortable with metrics, reports, data, or a recurring business problem. No warehouse access is required.

What's included

Live sessions

Learn directly from Paras Doshi & Sai Kumar Bysani in a real-time, interactive format.

Complete course companion and lab kit

Use the templates, staged prompts, synthetic dataset, verifier, and practice files during the weekend and after the course.

Two post-course group office hours

Bring an implementation question, debug a failure, or get feedback as you adapt the workflow to your work.

Shared synthetic practice case

Complete the full build without using company data, warehouse credentials, or proprietary code.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Oct 17—Oct 18

    Saturday: Zero to your first analytics agent

    1 item

    Sunday: Build an analytics agent people can trust

    1 item

Schedule

Live sessions

8 hrs

Eight live hours across two days, including hands-on build time: Saturday and Sunday, 8:00 AM–noon PT.

Async work on your data

4-6 hrs

Spend 4–6 hours applying the workflow to your own data or use case after the live course.

Optional office hours

2 hrs

Two optional group office hours after the course. Bring an implementation question, debug a failure, or get feedback on your adaptation.

Frequently asked questions

Maven for Teams

Reimbursement

Get your company to pay

Everything L&D needs: email template, receipts, and certificate of completion.

Get reimbursed

Team discount

Learn with your teammates

Save 20%+ when 2 or more teammates enroll in the same cohort.

Save 20%+ with a team

Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

Book a private cohort

$1,500

USD

Oct 17—Oct 18
Enroll