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 Duration 14 hours

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 • 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 the 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 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 Decision-Making • From analysis to dashboard • Choosing the appropriate visualization for the analyzed information • Information organization and visual hierarchy • Layout and logical structuring of the dashboard • Adding context: trends, objectives, comparisons, and reference values • Interactive dashboards and automatic refresh • Interpreting results and formulating business conclusions

Requirements

This course is suitable for:

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

Recommended Prerequisites

  • Basic knowledge of Microsoft Excel.
  • Experience working with spreadsheets, reports, or business data.
  • No programming knowledge is required.

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