Course Outline
Day 1 – Foundations of Business Data Analysis Introduction to Data Analysis in Business
- Understanding data analysis
- Types of business data
- The role of analytics in decision-making
- Common business KPIs and metrics
- Transforming raw data into actionable insights
Analytical Thinking & Problem Solving
- Formulating the right business questions
- Defining measurable objectives
- Basics of root cause analysis
- Distinguishing between correlation and causation
- Recognizing bias and misleading interpretations
Working with Data in Excel
- Correctly structuring datasets
- Data cleaning basics
- Sorting, filtering, and conditional formatting
- Formulas and functions for analysis
- Pivot Tables & Pivot Charts
Data Visualization Fundamentals
- Selecting the appropriate chart type
- Ensuring visual clarity and simplicity
- Dashboard principles
- Avoiding common visualization mistakes
- Introduction to storytelling with data
Day 2 – Reporting, Insights & Business Decision-Making Introduction to Power BI Concepts
- Understanding Power BI
- Data connections and data models
- Interactive dashboards
- Filters, slicers, and drill-down analysis
- Understanding self-service BI
KPI Analysis & Performance Monitoring
- Operational KPIs
- Sales and financial metrics
- Customer and service KPIs
- Trend analysis and benchmarking
- Identifying anomalies and risks
Data Storytelling for Business Users
- Presenting insights to stakeholders
- Structuring analytical findings
- Converting data into recommendations
- Executive summary techniques
- Building action-oriented conclusions
Data-Driven Decision Making
- Utilizing data in operational decisions
- Prioritization using metrics
- Basics of scenario analysis
- Risk identification through data
- Best practices for analytical collaboration
Recap & Action Planning
- Review of key concepts
- Common business analysis mistakes
- Practical next steps
- Q&A session
- Personal action planning
*Note: Pre-requisite: POWER BI Desktop installed before the course begins.
Requirements
Target Audience
- Business users engaged with reports and operational data
- Team leads and managers involved in decision-making processes
- Personnel from Finance, HR, Sales, Operations, Procurement, and Support teams
- Professionals requiring the ability to interpret and communicate data insights
- Non-technical users seeking to enhance their analytical skills
Recommended Prerequisites
- A foundational understanding of Excel functionality
- Experience working with tables, reports, or business data
- No programming experience is required.
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
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Tshering Dorji - Druk Holding and Investments
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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.
