What will you learn in IBM: Analyzing Data with Excel course
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Analyze datasets using Microsoft Excel for business and analytics use cases.
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Clean, organize, and prepare data for analysis using Excel tools.
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Apply formulas, functions, and PivotTables to summarize and explore data.
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Create charts and basic dashboards to communicate insights clearly.
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Perform descriptive analysis to identify trends, patterns, and outliers.
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Build confidence in using Excel as a practical analytics tool.
Program Overview
Introduction to Data Analysis with Excel
⏳ 1–2 weeks
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Overview of Excel as a data analysis tool.
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Understanding datasets, data types, and basic spreadsheet operations.
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Setting up Excel for efficient analysis workflows.
Data Cleaning and Preparation
⏳ 2–3 weeks
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Learn to clean and format raw data.
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Handle missing values, duplicates, and inconsistencies.
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Use sorting, filtering, and conditional formatting for quick insights.
Data Analysis with Functions and PivotTables
⏳ 2–3 weeks
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Apply essential Excel functions for analysis (SUMIFS, COUNTIFS, IF, VLOOKUP/XLOOKUP).
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Build PivotTables to summarize and analyze large datasets.
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Explore data relationships and comparisons efficiently.
Data Visualization and Reporting
⏳ 2–3 weeks
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Create charts and visual summaries in Excel.
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Learn best practices for clear and accurate data presentation.
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Build simple reports to support data-driven decision-making.
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Job Outlook
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Ideal for entry-level Data Analyst, Business Analyst, and Operations roles.
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Excel analytics skills are in demand across finance, marketing, HR, and operations.
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Serves as a foundation for advanced analytics tools like Power BI, SQL, and Python.
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Enhances productivity and analytical thinking in business environments.
Explore More Learning Paths
Strengthen your Excel-based data analysis skills with these carefully selected courses designed to improve automation, advanced analytics, and everyday spreadsheet efficiency.
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Related Reading
- What Is Data Management? – Understand how proper data organization and management enhance accuracy, efficiency, and decision-making in Excel-based analysis.