Decision Making Using Data Analytics
Build practical skills in using data analytics to frame decisions, select measures, analyze evidence, compare options, communicate recommendations, and monitor business outcomes through four structured lessons with demonstrations, hands-on activities, troubleshooting, validation checklists, and an applied improvement plan.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
This SkillDynamo course develops practical, role-relevant capability in using data analytics to frame decisions, select measures, analyze evidence, compare options, communicate recommendations, and monitor business outcomes. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.
What You Will Learn
- Define the decision, stakeholders, options, constraints, risks, timing, data needs, and measurable success criteria
- Select relevant KPIs, dimensions, baselines, targets, data sources, definitions, and quality controls
- Use descriptive, diagnostic, trend, variance, segmentation, contribution, and scenario analysis to compare alternatives
- Recognize correlation limits, uncertainty, bias, outliers, missing data, confounding factors, and evidence gaps
- Create Power BI visuals, filters, drill paths, comparisons, narratives, and decision-focused dashboard views
- Explain findings with context, confidence, trade-offs, assumptions, limitations, and practical implications
- Recommend an option with benefits, risks, costs, dependencies, ownership, timelines, and contingency actions
- Define monitoring indicators, review cadence, feedback, corrective thresholds, and continuous-improvement steps
SkillDynamo Training Approach
SkillDynamo delivers this course through 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, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 8 Hours
- Course Curriculum4 Items
- 1.1Decision Making Using Data Analytics — Lesson 1: Decision Framing, Questions, Metrics and Data Readiness2 hours
- 1.2Decision Making Using Data Analytics — Lesson 2: Analytical Methods, Comparisons and Scenario Evaluation2 hours
- 1.3Decision Making Using Data Analytics — Lesson 3: Power BI Visuals, Insights and Stakeholder Communication2 hours
- 1.4Decision Making Using Data Analytics — Lesson 4: Recommendations, Action Plans and Outcome Monitoring2 hours
SkillDynamo Expert Team
Instructor-led delivery focused on Decision Making Using Data Analytics with practical demonstrations, implementation guidance, validation, and troubleshooting.
- Structured explanations and role-focused demonstrations
- Applied exercises, scenario analysis, and solution reviews
- Course-specific validation, support, and improvement guidance
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