What You'll Learn
- Importance of Excel for Data Analysis
- Ribbon, Tabs, and Quick Access Toolbar
- Formatting and Structuring Data
- Best Practices for Clean Data Input
- Categories of Functions Used in Analysis
- SUM, AVERAGE, MEDIAN, MODE, MIN, MAX
- VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH
- CONCATENATE, TRIM, LEFT, RIGHT, MID, FIND, SUBSTITUTE
- Identifying and Handling Missing Data
- Removing Duplicates and Data Validation
- Splitting and Merging Data
- Using Flash Fill for Quick Cleaning
- Analyzing Data with the Analysis Toolpak
- Creating Column, Line, Pie, Bar, and Scatter Charts
- Using Sparklines for Quick Insights
- Advanced Chart Techniques
- Dashboards in Excel
- Goal Seek, Scenario Manager, and Data Tables
- Solver for Optimization Problems
- Data Analysis with Power Pivot
Requirements
- A basic understanding of Microsoft Excel (helpful but not required).
- Microsoft Excel 2019 or later (Windows or Mac).
Who This Course is For
- Anyone seeking to master Excel’s powerful analysis and visualization tools.
- Students and job seekers preparing for data analysis roles.
- Business professionals looking to boost productivity and analytical skills.
- Entrepreneurs who want to make smarter, data-driven business decisions.
Your Instructor
Skillify Academy
Data Analyst | Instructor at Udemy
4.1 Instructor Rating
414 Reviews
20,293 Students
13 Courses
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