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Course Outline

1. From Data to Business Decisions
• The role of data analysis in decision-making
• From business questions to indicators and KPIs
• Raw data, information, and insights
• Stages of 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 data preparation and refresh processes 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. Data Analysis with Power Pivot and DAX
• Using Power Pivot for data analysis
• Selecting relevant indicators for the analyzed question
• Calculated columns and measures
• Understanding filter context
• Essential DAX functions for business analysis
• Calculating indicators and KPIs

5. Building a Dashboard for Decision-Making
• From analysis to dashboard
• Choosing the right visualization for the analyzed information
• Organizing information and visual hierarchy
• Layout and logical structuring of the dashboard
• Adding context: trends, targets, comparisons, and benchmark values
• Interactive dashboards and automatic refresh
• Interpreting results and formulating business conclusions

Requirements

This course is intended for:

  • Business users who work with reports and operational data.
  • Team leaders and managers involved in decision-making processes.
  • Specialists in Finance, Human Resources, Sales, Operations, Procurement, and Support departments.
  • Professionals who need to interpret, analyze, and communicate data-based information.
  • Non-technical users who wish to develop their data analysis competencies.

Recommended Prerequisites

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

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