AI in the Flow of Data Science: 10 Days to Smarter Data Analysis

AI in the Flow of Data Science: 10 Days to Smarter Data Analysis

38mIntermediate2026-08-07

Authors

Dawn Choo

Dawn Choo

Course details

AI tools can help data professionals work faster, but only when used effectively. In this practical 10-day challenge, instructor Dawn Choo introduces everyday ways to use AI throughout the data analysis workflow. Learn how to brainstorm solutions, craft stronger prompts, clean and explore data, validate AI-generated outputs, create visual assets, conduct research, and accelerate learning. Through short daily lessons and hands-on examples, you'll develop a practical framework for integrating AI into your existing analytics and data science processes.

Learning objectives
Brainstorm analytical approaches with AI and evaluate potential tradeoffs.
Create structured prompts that improve the quality of AI-generated outputs.
Use AI tools to clean data and support common data workflow tasks.
Validate AI-generated analyses by reviewing assumptions, methodology, and results.
Use AI to create visual assets, conduct research, and accelerate learning.
Integrate AI tools into an end-to-end data analysis workflow.

Concepts

Introduction

  • 10 days of practical AI for data analysts and scientists

10 Days to Smarter Data Analysis

  • Day 1 - Brainstorming and evaluating analytical approaches
  • Day 2 - Writing structured prompts using the RACE framework
  • Day 3 - Making the most of Claude's additional features
  • Day 4 - Running an analysis with ChatGPT
  • Day 5 - Evaluating AI outputs
  • Day 6 - Using ChatGPT with Excel and Google Sheets
  • Day 7 - Creating images with AI
  • Day 8 - Planning and prompting deep research
  • Day 9 - Using Gemini Notebook to learn faster
  • Day 10 - Go further with AI agents and automation
40,000 Toman