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Course Outline
Day 1 – Foundations of Business Data Analysis Introduction to Data Analysis in Business
- What is data analysis?
- Types of business data
- The role of analytics in decision-making
- Common business KPIs and metrics
- From raw data to actionable insights
Analytical Thinking & Problem Solving
- Asking the right business questions
- Defining measurable objectives
- Root cause analysis basics
- Correlation vs causation
- Recognizing bias and misleading interpretations
Working with Data in Excel
- Structuring datasets correctly
- Data cleaning basics
- Sorting, filtering, and conditional formatting
- Formulas and functions for analysis
- Pivot Tables & Pivot Charts
Data Visualization Fundamentals
- Choosing the right chart type
- Visual clarity and simplicity
- Dashboard principles
- Common visualization mistakes
- Introduction to storytelling with data
Day 2 – Reporting, Insights & Business Decision-Making Introduction to Power BI Concepts
- What is 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 Professionals
- Presenting insights to stakeholders
- Structuring analytical findings
- Turning data into recommendations
- Executive summary techniques
- Building action-oriented conclusions
Data-Driven Decision Making
- Using data in operational decisions
- Prioritization using metrics
- Scenario analysis basics
- 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
Requirements
Target Audience
- Business users working with reports and operational data
- Team leads and managers involved in decision-making
- Finance, HR, Sales, Operations, Procurement, and Support teams
- Professionals who need to interpret and communicate data insights
- Non-technical users looking to improve analytical skills
Recommended Prerequisites
- An understanding of basic Excel functionality
- Experience working with tables, reports, or business data
- No programming experience requir
14 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
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.
