• Overview of Excel Data Analysis
• Data Types, Structure, and Formatting Best Practices
• Using Excel Tables and Ranges
• Sorting and Filtering Data
• Basic Formulas for Analysis (SUM, AVERAGE, COUNT, IF)
• Removing Duplicates Data
• Data Validation Techniques
• Data Validation Techniques
• Using Flash Fill and Text to Columns
• Conditional Formatting for Insights
• Using charts: Column, Bar, Line, Pie
• Handling Errors with IFERROR, ISBLANK, etc.

Become a data driven decision maker with “Excel Data Analysis: The Complete Analysis Masterclass.” This all-in-one course is designed to take you from data analysis basics to advanced Excel techniques, helping you master how to explore, visualize, and interpret data for impactful business insights.

Whether you’re a student, business professional, analyst, or entrepreneur, this course will empower you with the tools and knowledge to confidently analyze data using one of the most powerful spreadsheet applications in the world — Microsoft Excel.

What You’ll Learn:

Data Analysis Foundations: Learn the principles of data structuring, formatting, and exploration

Advanced Excel Functions: Master logical, statistical, and lookup functions (IF, SUMIFS, VLOOKUP, INDEX/MATCH, etc.)

Sorting & Filtering: Quickly organize and find key data

Data Cleaning Techniques: Use tools like Text to Columns, Flash Fill, and Remove Duplicates

PivotTables & Pivot Charts: Create dynamic summaries and visualize large datasets

Dashboards & Data Visualization: Build insightful dashboards and use charts to tell a story with your data

What-If Analysis: Use Goal Seek, Scenario Manager, and Data Tables for forecasting and planning and more.

By the end of this course, you’ll be able to confidently analyze data, create meaningful reports, and make informed decisions using Microsoft Excel. If you’re ready to elevate your analytical thinking and Excel skills, enroll now and start mastering data analysis today!

¿Para quién es este curso?

• Beginners aiming to learn data analysis from scratch
• Intermediate users who want to enhance their analytical skills
• Students preparing for data related work
• Anyone who wants to turn raw data into actionable insights