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Free Lesson

Master AI Analytics Without Clearing Your Calendar

Hosted by Paras Doshi and Nicky Bell, PhD

Wed, Sep 23, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

139 students

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Advanced Agentic Analytics in Production & Private 1-1 with Head of Data
Paras Doshi
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What you'll learn

What experienced data pros really think about AI analytics

Hear the candid tradeoffs, failure modes, and practical realities that rarely make it into a polished AI demo.

Find the right task to learn with

Choose a recurring, low-risk analytics task where you can test AI, check the result, and learn by doing.

Make time without adding another project

Use five practical strategies to turn part of an existing workflow into a small, time-boxed AI experiment.

Why this topic matters

Two veteran data practitioners discuss what needs to be true before you start, what tends to fail, and how to fit AI analytics into a packed schedule. Expect a candid conversation, not a slide deck. You’ll leave with five practical ways to choose a task, run a small experiment, check the result, and build on what works.

You'll learn from

Paras Doshi

Head of Data (Amazon, Opendoor)

Paras Doshi led data during Alexa’s early years and through Opendoor’s turnaround after a $1B loss -- two businesses with AI at the center.

Nicky Bell, PhD

10 years teaching data literacy to up-and-coming data operators

Nicky Bell, PhD, has spent 10 years teaching data analysis to people who do not see themselves as data scientists, including journalism students and business professionals at Penn. He focuses on making analytics practical and accessible, helping people use data to ask better questions and make better decisions.

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