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Course Outline

1. From data to business decisions
• The role of data analysis in decision-making
• From business questions to metrics and KPIs
• Raw data, information, and insights
• Steps in the data analysis process
• Tools used in the course: Power Query, Data Model, Power Pivot, and DAX

2. Preparing data for analysis
• Importing data from various sources
• Identifying data quality issues
• Cleaning and transforming data
• Combining and restructuring datasets
• Automating the data preparation and update process with Power Query

3. Organizing and modeling data
• Why a single table is not always sufficient
• Organizing data for analysis
• Creating a data model
• Relationships between tables
• Basic principles for building a clear and efficient model

4. Analyzing data with Power Pivot and DAX
• Using Power Pivot for data analysis
• Selecting relevant metrics for the analyzed question
• Calculated columns and measures
• Understanding filter context
• Essential DAX functions for business analysis
• Calculating metrics and KPIs

5. Building a dashboard for decisions
• From analysis to dashboard
• Choosing the appropriate visualization for the analyzed information
• Organizing information and visual hierarchy
• Dashboard layout and logical structuring
• Adding context: trends, targets, comparisons, and benchmarks
• Interactive dashboards with automatic updates
• Interpreting results and formulating business conclusions

Requirements

This course is designed for:

  • Business users working with reports and operational data.
  • Team leaders and managers involved in decision-making processes.
  • Specialists from Finance, Human Resources, Sales, Operations, Procurement, and Support departments.
  • Professionals who need to interpret, analyze, and communicate data-based information.
  • Users without technical training who wish to develop their data analysis skills.

Recommended prerequisites

  • Basic knowledge of using Microsoft Excel.
  • Experience working with tables, reports, or business data.
  • No programming knowledge required.
 14 Hours

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