Catalogue/Tier 3 · Job Skills/Business Operations

AI+ for Data Analysis cover

T3-29 · Tier 3 · Job Skills

AI+ for Data Analysis

Make Sense of Any Dataset, Fast

Data to insight, fast — without the AI hallucination trap.

You have the data. You open the spreadsheet, scroll for a few minutes, and still aren't sure what it's telling you. The gap isn't data literacy — it's a structured process for what to do before, during, and after AI analysis. This book gives you the 33-prompt Data Analysis Prompt Toolkit, the TRUST framework applied to data contexts, and a 30-day starter plan. Built by an AI engineering firm for analysts who know the numbers don't speak for themselves.

Tier

Tier 3 · Job Skills

Category

Business Operations

Format

Guide

Updated

Q2 2026

Read full bookSee in 7 bundles

Inside

33 ready-made, market-tested prompts: question framing, dataset assessment, exploratory analysis, pattern identification, chart selection, insight communication
The TRUST Framework applied to data contexts — checking AI analysis for accuracy before any of it reaches a stakeholder
A "frame the question" workflow that connects data to a real decision before any analysis begins
A communication discipline that puts the recommendation where it lands, not where it's buried
A 30-day plan for marketers, operations managers, finance professionals, researchers, policy analysts, and project managers working with data daily

Who this is for

Any professional who regularly handles data but does not call themselves a data analyst: a marketer reviewing campaign performance, a researcher processing survey results, a finance professional analysing budget variances, an operations manager tracking KPIs, a policy analyst interpreting statistics, a project manager reviewing delivery metrics. The book is cross-industry by design — the skill is the same whether the dataset is a sales export, a patient survey, or a grant application tracker.

Also for:Junior data analysts and data-adjacent professionals (BI report users, dashboard owners) who want to work faster and more confidently with AI assistance.

You’ll be able to

Frame a clear analytical question that connects data to a real decision
Assess the structure, type, and quality of a dataset before starting analysis
Use AI to explore, describe, and find patterns in data
Apply the TRUST framework to critically evaluate AI-generated analysis and detect errors
Select the right visualisation for a given finding
Communicate data insights to non-technical audiences using AI-assisted narratives

What’s inside

Diagnostic: How AI-ready is your data analysis?
Chapter 1: AI in Data Analysis Right Now
Chapter 2: Before You Touch the Data: Asking the Right Question
Chapter 3: Understanding What You Have
Chapter 4: Cleaning and Preparing Your Data
Chapter 5: Exploring and Describing Your Data
Chapter 6: Finding Patterns and Relationships
Chapter 7: Interpreting AI-Generated Analysis
Chapter 8: Choosing the Right Visualisation
Chapter 9: Communicating Findings to Non-Technical Audiences
Chapter 10: Your 30-Day Data Analysis Starter Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm — for analysts who know the numbers don't speak for themselves.

Appears in 7 bundles

IND-02The Finance AI Pack IND-05The Marketing AI Pack ROL-03The Researcher's AI Pack ROL-07The Operations Pack SKL-02The AI Research Pack SKL-04The AI Data & Reporting Pack STU-02The Postgraduate & Research Pack

Reads well with

Often packaged with this title.