Course Outline
1. From Data to Business Decisions
• The role of data analysis in the decision-making process
• From business questions to metrics and KPIs
• Raw data, information, and insight
• 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
• Basic principles for building a clear and efficient model
4. Analyzing Data with Power Pivot and DAX
• Using Power Pivot for data analysis
• Choosing 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 structure
• Adding context: evolution, objectives, comparisons, and reference values
• Interactive dashboards and automatic updates
• 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 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.
- 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.
Testimonials (3)
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Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
