Course Outline
Day 1 – Foundations of Business Data Analysis Introduction to Data Analysis in Business
- Understanding the essence of data analysis
- Classification of business data types
- The pivotal role of analytics in decision-making
- Key business KPIs and metrics
- Transforming raw data into actionable insights
Analytical Thinking & Problem Solving
- Formulating the right business questions
- Establishing measurable objectives
- Introduction to root cause analysis
- Differentiating correlation from causation
- Awareness of bias and misleading interpretations
Working with Data in Excel
- Properly structuring datasets
- Essentials of data cleaning
- Utilizing sorting, filtering, and conditional formatting
- Applying formulas and functions for analysis
- Mastery of Pivot Tables & Pivot Charts
Data Visualization Fundamentals
- Selecting appropriate chart types
- Ensuring visual clarity and simplicity
- Core principles of dashboard design
- Avoiding common visualization errors
- Introduction to data-driven storytelling
Day 2 – Reporting, Insights & Business Decision-Making Introduction to Power BI Concepts
- Overview of Power BI capabilities
- Managing data connections and models
- Designing interactive dashboards
- Implementing filters, slicers, and drill-down analysis
- Comprehending self-service BI environments
KPI Analysis & Performance Monitoring
- Tracking operational KPIs
- Analyzing sales and financial metrics
- Evaluating customer and service KPIs
- Conducting trend analysis and benchmarking
- Detecting anomalies and potential risks
Data Storytelling for Business Users
- Presenting insights to stakeholders effectively
- Organizing analytical findings logically
- Converting data analysis into strategic recommendations
- Techniques for executive summaries
- Formulating action-oriented conclusions
Data-Driven Decision Making
- Incorporating data into operational decisions
- Prioritizing tasks using metrics
- Basics of scenario analysis
- Identifying risks through data interpretation
- Best practices for collaborative analytics
Recap & Action Planning
- Review of core concepts
- Common pitfalls in business analysis
- Defining practical next steps
- Q&A session
- Developing a personal action plan
*Note: Pre-requisite: POWER BI Desktop must be installed prior to the start of the course.
Requirements
Target Audience
- Business professionals managing reports and operational data
- Team leads and managers engaged in strategic decision-making
- Members of Finance, HR, Sales, Operations, Procurement, and Support departments
- Professionals required to interpret and articulate data insights
- Non-technical staff aiming to enhance their analytical capabilities
Recommended Prerequisites
- Familiarity with basic Excel functionalities
- Previous experience handling tables, reports, or business data
- No prior programming experience 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.
