Data Cleaning, Analysis and AI in Excel

Course Description

SkillDynamo’s Data Cleaning, Analysis and AI in Excel course develops practical, role-relevant capability in cleaning, validating, analyzing, visualizing, and automating Excel data with responsible AI assistance. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, instructor-led demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, secure working practices, and measurable outcomes.

The content is independently written for SkillDynamo using the supplied source page as the title, update-date, duration, and topic-alignment reference. Learners finish with an applied scenario, documented validation evidence, and a prioritized improvement plan.

What You Will Learn

• Explain and apply source import and structure review, missing, duplicate, and inconsistent data, text, date, and type transformations, Power Query steps and refresh design within Data Cleaning, Analysis and AI in Excel.
• Configure, validate, and troubleshoot source import and structure review, missing, duplicate, and inconsistent data, text, date, and type transformations, Power Query steps and refresh design using security, quality, governance, and operational controls.
• Explain and apply data validation and error controls, advanced formulas and dynamic arrays, tables, lookups, and aggregations, statistical and scenario analysis within Data Cleaning, Analysis and AI in Excel.
• Configure, validate, and troubleshoot data validation and error controls, advanced formulas and dynamic arrays, tables, lookups, and aggregations, statistical and scenario analysis using security, quality, governance, and operational controls.
• Explain and apply AI-supported questions and explanations, trend, pattern, and anomaly interpretation, prompting with approved data, accuracy, privacy, bias, and human verification within Data Cleaning, Analysis and AI in Excel.
• Configure, validate, and troubleshoot AI-supported questions and explanations, trend, pattern, and anomaly interpretation, prompting with approved data, accuracy, privacy, bias, and human verification using security, quality, governance, and operational controls.
• Explain and apply PivotTables, charts, and dashboard design, repeatable refresh and automation, protection, documentation, and audit controls, decision communication and improvement planning within Data Cleaning, Analysis and AI in Excel.
• Configure, validate, and troubleshoot PivotTables, charts, and dashboard design, repeatable refresh and automation, protection, documentation, and audit controls, decision communication and improvement planning using security, quality, governance, and operational controls.

SkillDynamo Training Approach

SkillDynamo delivers this course through instructor-led demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, documentation, and communication so the skills transfer confidently into real workplace situations.