📊 EXCEL BUSINESS ANALYTICS – BUSINESS DATA ANALYSIS WITH EXCEL

You already know how to use Excel but still spend a lot of time connecting data, checking errors, summarizing reports, and finding insights from thousands of rows of data?

Excel Business Analytics is designed to help you take one step further: not just “doing Excel,” but knowing how to turn data into answers to business questions. The course follows a real-world workflow CLEAN → LOOKUP → PIVOT → ANALYSIS, focusing on enterprise problems and output deliverables that can be applied directly to work.

⏱️ With a duration of about 9 hours, the course is suitable for people who already have basic Excel knowledge and want to upgrade their ability to summarize, analyze, and report data more systematically.

🎯 What will you be able to do after the course?

After the course, you will not only know how to use the tool but also understand why data needs to be processed step by step. You can connect multiple data tables with XLOOKUP, check errors that affect analysis results, build multi-dimensional PivotTable, use Slicer, PivotChart, identify Top/Bottom, and write an Analysis Summary backed by figures.

More importantly, you will develop the mindset to turn manager questions such as “Which region is selling well?”, “Which month has declining revenue?”, “Which product contributes the most?” into verifiable metrics and data perspectives.

🚀 Course content

• 🔗 Module 1 – Lookup & Data Connection: Understand the Key/ID mindset and how to link data between tables using XLOOKUP. You will practice retrieving Product Name, Category, Standard Price, Employee Name, Department, Region from Master tables; also checking duplicate IDs, non-existent IDs, and #N/A errors.
• 🧹 Module 2 – Data Cleaning for Analysis: Clean and standardize data before analysis. You will handle Duplicate, Missing Value, Wrong Data Type, Naming Inconsistency, Incorrect ID, Outlier, while also checking logic errors such as Quantity = 0 but Revenue > 0, delivery date before order date, or negative revenue. At the end of this section, you will know how to create a Data Quality Flag to distinguish errors that can be handled automatically from errors that require manual review.
• 📊 Module 3 – PivotTable Fundamentals: Turn thousands of rows of data into reports in just a few steps. You will master Rows, Columns, Values, Filters, Sum, Count, Average, Group Date, Top N, % of Total, Refresh, Slicer and PivotChart. The exercises focus on revenue by region/month, Top products, revenue share by Category, and Salesperson performance.
• 🧠 Module 4 – Business Analysis Challenge: This is the step from “someone who knows Excel” to “someone who knows how to analyze.” You will learn how to turn manager questions into metrics, analysis dimensions, and filters; perform period comparisons, composition analysis, Top/Bottom, and especially distinguish Fact from causal hypothesis to avoid conclusions lacking evidence.

💼 Practice with data that resembles a business environment

The course uses a Sales Transactions set of about 1,000–3,000 rows, combined with Product Master and Employee Master. The data has many pre-built errors so learners must actually check, process, and verify the data rather than just follow sample steps.

You will progressively build a complete Analysis Workbook, from raw data to connected data, analysis-ready data, Pivot Analysis, and finally an Analysis Summary.

🏆 MINI CAPSTONE – ROLE-PLAY AS A BUSINESS ANALYST

At the end of the course, you will take on the role of a Business Analyst supporting the Sales department.

The initial transaction data has only Product ID and Employee ID, while descriptive information is stored in separate Master tables. Your task is to connect data with XLOOKUP, check data quality, build PivotTable across multiple dimensions, identify Top 5 products, Top 5 employees, regions with high Return Rate, and write a 5–7 line Analysis Summary based only on what the data actually proves.

This is exactly how data is handled in real work: not stopping at creating beautiful tables, but being able to answer business questions.

✨ What makes the course different

The course does not focus on memorizing buttons or “dragging and dropping PivotTable”. Every analysis exercise begins with a business question: WHAT – WHERE – WHEN – WHO, then selects the appropriate data, metrics, and analysis method. At the same time, learners must always include a Verify step – checking totals before and after processing, which helps limit beautiful reports with incorrect numbers.

👨‍💼 Who is this course for?

The course is suitable for office staff, sales, accounting, HR, operations, managers, and anyone who regularly has to consolidate data from multiple Excel tables. Learners should already know Excel Table, Sort/Filter, and basic conditional functions, or have completed an equivalent foundational Excel course.

🎓 After the course, you don’t just have knowledge – you have a workflow

From a raw data file, you will know how to:

🔗 CONNECT data → 🧹 CLEAN data → 📊 PIVOT data → 🔍 ANALYZE data → 💡 deliver evidence-based INSIGHT.

This is the foundation for you to continue to Excel Dashboard & Reporting, where analysis results are turned into dashboards and visual management reports.

🔥 Excel Business Analytics – Not just knowing Excel. Learn how to make data answer business questions.

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