Applied Data Analytics with Excel, SQL, Power BI and Python
Build practical skills in performing end-to-end data analytics with Excel, SQL, Power BI, and Python for data preparation, querying, modeling, visualization, interpretation, and decision support 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 performing end-to-end data analytics with Excel, SQL, Power BI, and Python for data preparation, querying, modeling, visualization, interpretation, and decision support. 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
- Explain and apply analytics requirements, data quality and excel preparation within a practical Applied Data Analytics with Excel, SQL, Power BI and Python scenario
- Validate analytics requirements, data quality and excel preparation decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply sql querying, data integration and analytical datasets within a practical Applied Data Analytics with Excel, SQL, Power BI and Python scenario
- Validate sql querying, data integration and analytical datasets decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply python analysis, statistics and reproducible workflows within a practical Applied Data Analytics with Excel, SQL, Power BI and Python scenario
- Validate python analysis, statistics and reproducible workflows decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
- Explain and apply power bi modeling, dashboards and decision communication within a practical Applied Data Analytics with Excel, SQL, Power BI and Python scenario
- Validate power bi modeling, dashboards and decision communication decisions using requirements, configuration evidence, quality checks, risks, and measurable outcomes
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
- 40 Hours
- Course Curriculum4 Items
- 1.1Applied Data Analytics with Excel, SQL, Power BI and Python — Lesson 1: Analytics Requirements, Data Quality and Excel Preparation10 hours
- 1.2Applied Data Analytics with Excel, SQL, Power BI and Python — Lesson 2: SQL Querying, Data Integration and Analytical Datasets10 hours
- 1.3Applied Data Analytics with Excel, SQL, Power BI and Python — Lesson 3: Python Analysis, Statistics and Reproducible Workflows10 hours
- 1.4Applied Data Analytics with Excel, SQL, Power BI and Python — Lesson 4: Power BI Modeling, Dashboards and Decision Communication10 hours
SkillDynamo Expert Team
Instructor-led delivery focused on Applied Data Analytics with Excel, SQL, Power BI and Python 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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