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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
•    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 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 the data model
•    Relationships between tables
•    Fundamental 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 question being analyzed
•    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 right visualization for the information analyzed
•    Organizing information and visual hierarchy
•    Dashboard layout and logical structuring
•    Adding context: evolution, objectives, comparisons, and benchmarks
•    Interactive dashboards and automatic updates
•    Interpreting results and formulating business conclusions

Requirements

This course is designed for:

  • Business users who work with reports and operational data.
  • Team Leaders and managers involved in decision-making processes.
  • Specialists from Finance, Human Resources, Sales, Operations, Purchasing, 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 is required.
 14 Hours

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