Excel with AI - Data Management & Analysis: A Quickstudy Laminated Reference Guide

By Andrew McLeod

Essential guide to managing, preparing, and analyzing data in Excel using AI. From data imports and cleaning to analysis, tasks that take hours to complete can be done in minutes using natural language AI prompts. This reference is about taking action and gives you the need-to-know steps in the process of analysis including example prompts for each step. Succinct, colorful, and in an outline-style format for finding answers fast, this 6 page laminated guide covers more per page than any other reference. Easily stored and accessed, find any step in the process you need to review at any time without continually searching for answers. Author Andrew McLeod, a writer, and statistics and computer science expert working in AI since 2022 uses his Excel and AI knowledge to help you with the best notes an expert can give for a great price. Add this desktop reference for you, your team, department or entire company and save time and resources.

6 page laminated reference guide includes:

Importing Data with CopilotPrimary Data Import MethodsHow Copoilot Handles Imported DataConstraints & System BoundariesData Preparation & Workflow AnalysisData CleaningData profilingError ClassificationRemove or eliminate invalid dataHandling missing or null dataFix error inconsistenciesText CleaningDetect & handle outliers & anomaliesData-type error fixingFuzzy matching & deduplicationData harmonizingCross-referencing& data enrichmentPattern violation detectionConstraint or rule-based cleaningData StructuringTable formattingHeader structureTable layout cleanupConvert nontabular layoutsColumn or schema designData organizationReshaping dataRelational structuring (multitable design)Data modeling preparationIndexing & keysData input structuring (upstream design)Schema consistency Data Formatting & StandardizationData-type consistency Data-type standardizationDate, time, & number formatsCell formatting Conditional formattingText standardizationQuantitative standardizationCategory & label standardizationReadability Cross-dataset standardizationData encoding standardizationLocale & language standardizationData Transformation & PreparationSorting & selectionCombining data (multi-source structuring)Column-level transformationsRow-level transformationsData aggregation & groupingReshaping dataHierarchical or nested data handlingDerived metrics & calculationsTime-based transformationsData enrichmentScenario & business logic transformationsCustom logic & advanced calculationsPerformance optimizationData Validation & QAValidation rule setupValidity & type checksRequired & unique fields Logical & relationship checksCompleteness & reconciliation checksError reportingData AnalysisExploratory data analysis Descriptive statisticsAggregation & summarizationPivot table analysis (nonvisual)Statistical analysisAdvanced statistical analysisPredictive & modeling analysis (basic)Multivariant analysis Segmentation & cohort analysis (basic)Drill-down & drill-through analysisAnomaly detectionInsight generationSensitivity analysis (basic)Business logic analysisM365 Copilot EcosystemBeyond CopilotAdd-insChatGPTClaudeShortcut AIJulius.AI

• Format: Paperback
• Language: English
• ISBN: 1423254295
• ISBN13: 9781423254294
• Release Date: August 2026
• Publisher: Barcharts
• Length: 6 Pages