Learn Excel Data Analysis, Data Management, Reporting and Dashboards Using Real World Business Examples
β±οΈ Length: 1.6 total hours
π₯ 27 students
π February 2026 update
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- Course Overview
- This compact, powerful course for professionals and aspiring analysts masters Microsoft Excel for advanced data analysis and management. Moving beyond basic functions, it empowers learners with practical techniques crucial for real-world business challenges. The curriculum provides a strong understanding of the data lifecycle, from cleaning raw data to sophisticated analysis and compelling visualization, all within a 1.6-hour, hands-on framework.
- Participants will master fundamental data management principles, utilize powerful Excel features for data manipulation, and develop skills in creating insightful reports and dynamic dashboards. The course emphasizes applying these techniques using real-world business examples, fostering a strategic mindset for data-driven decision-making, ensuring direct applicability to various industries and career paths.
- Requirements / Prerequisites
- Basic Microsoft Excel understanding is highly recommended. Learners should be comfortable navigating spreadsheets, entering data, performing simple calculations (SUM, AVERAGE), and basic cell formatting. This familiarity ensures quicker comprehension of advanced concepts.
- Access to a computer with Microsoft Excel (2013+ preferred) is essential for practical exercises. A stable internet connection for materials is also required. No prior advanced data analysis experience is needed, just eagerness to learn and apply Excel’s analytical power.
- Skills Covered / Tools Used
- The course covers critical Excel functionalities for business intelligence: advanced data cleaning (duplicates, missing values, standardization), and powerful data manipulation tools (Text-to-Columns, Flash Fill, text/logical functions like IF, LEFT, MID). Learners also master efficient data retrieval using lookup functions (VLOOKUP, XLOOKUP).
- Participants construct dynamic data models using Excel Tables and structured references for scalable reporting. Training covers leveraging pivot tables and pivot charts to summarize datasets, identify trends, and create cross-tabulations. Significant focus is placed on designing interactive dashboards with slicers, timelines, and form controls for effective data visualization and stakeholder communication.
- Benefits / Outcomes
- Upon completion, you will possess enhanced skills in using Excel for robust data analysis and management, directly boosting your professional value. You’ll confidently clean complex datasets, transform them into actionable business insights, and automate routine data tasks, increasing productivity and reducing errors.
- This course empowers you to build and maintain sophisticated Excel data systems and master data storytelling via compelling reports and interactive dashboards. You’ll effectively communicate KPIs and analytical findings, positioning yourself as a valuable asset driving informed decisions, accelerating career growth, and taking on data-centric responsibilities.
- PROS
- Highly Practical: Focuses on real-world business examples, ensuring immediate applicability.
- Time-Efficient: 1.6 hours provides essential skills without a long-term commitment.
- Career Enhancing: Boosts marketability across various industries by developing crucial data skills.
- Actionable Insights: Teaches transformation of raw data into strategic business intelligence.
- Foundation for Advanced Learning: Builds a solid base for exploring more complex BI tools.
- Increased Productivity: Automates data tasks and reduces manual errors.
- CONS
- Limited Advanced Depth: Due to its concise nature, it may not cover highly specialized statistical analysis or niche Excel functionalities in extensive detail.
Learning Tracks: English,Office Productivity,Microsoft
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