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Excel Data Analysis & Data Management for Business & Careers

792 students
1h 37m
Updated Feb 2026

What you'll learn

What is Data Analysis and Data Management?
Setting Up Your Workspace (Installing Excel, Power BI Desktop, SQL Server Express, and Access)
Key Concepts in Data Analytics (Data types, sources, quality)
Data Cleaning and Preparation Techniques
Loading and Transforming Data with Power Query
Creating Interactive Dashboards and Reports
Data Cleaning and Preparation Techniques

Course Description

Excel is one of the most important tools for data analysis and data management in today’s business world. Whether you’re working with reports, tracking performance or making data driven decisions, strong Excel skills can set you apart.


In Excel Data Analysis & Data Management for Business & Careers, you’ll learn how to confidently work with data in Excel—from organizing and cleaning raw data to analyzing it and presenting clear insights.


This course takes a hands-on, practical approach. You won’t just watch lectures—you’ll actively work with real-world business datasets and examples that reflect how Excel is used in professional environments.


What you’ll learn

  • Organize, clean and manage data efficiently in Excel

  • Use essential formulas and functions for data analysis

  • Analyze data using PivotTables and PivotCharts

  • Create professional reports and dashboards

  • Apply Excel data analysis skills to real business scenarios

  • Improve accuracy, productivity, and decision making with data


Why take this course?

  • Step by step explanations with clear demonstrations

  • Practical, job-ready skills—not just theory

  • Real-world examples you can apply immediately

  • Designed for business and career growth


By the end of this course, you’ll be able to manage data effectively, analyze it with confidence, and turn Excel into a powerful tool for your business and career.


Enroll now and start from today.

Requirements

  • No experience needed. You'll learn everything from the beginning.

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Course Details

  • Level All Levels
  • Lectures 14
  • Duration 1h 37m