Course Outline
1. From Data to Business Decisions
• The Role of Data Analysis in Decision-Making
• From the Business Question 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 Analyzed Information
• Organizing Information and Visual Hierarchy
• Layout and Logical Structuring of the Dashboard
• Adding Context: Evolution, Objectives, Comparisons, and Baseline Values
• Interactive Dashboards and Automatic Updates
• Interpreting Results and Formulating Business Conclusions
Requirements
This course is addressed to:
- 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, 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 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.
