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Using Excel for Accounting: Financial Statement Analysis
Learn how to analyze Financial Statements in Excel, including display methods, importing and exporting, and creating relational data sourcesPreview the first lesson free — get full access to all 3 lessons.
Intermediate Provider : Bob Akbar 3 Lessons · 17m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
In these lessons, we will discuss how analyze Financial Statements in Excel. We will explore how to set percentile, high and low filters, and how to visually format cells for ease of use. We’ll also look at using Excel Quick Books. Quick Books is one of the most popular accounting software systems, while Excel is the most powerful data analytics tool available to most users. We’ll discuss how to transfer information between the two systems, as well as how to link between the two to create relational data sources. These relational databases deliver a level of consistency and data integrity crucial to producing accurate financial statements.
This course will explore Financial Statement Analysis using Excel. We’ll look at visualization methods, importing and exporting, and how to create relational data sources. We’ll also discuss Quick Books, and how to link or transfer financial data between Quick Books and Excel.
What You'll Learn
- Analyze financial statement data in Excel using averages and percentiles
- Apply low, high, and percentile formatting to visually format cells for ease of use
- Import, export, and link data between QuickBooks and Excel
- Create a data model in Excel to build relational data sources
- Understand how relational databases create integrity and consistency for accurate financial statements
Key Takeaways
- The course covers financial statement analysis in Excel, including visualization methods, importing and exporting, and creating relational data sources.
- QuickBooks is one of the most popular accounting software systems, while Excel is the most powerful data analytics tool available to most users.
- Financial data can be linked or transferred between QuickBooks and Excel to create relational data sources.
- Relational databases deliver a level of consistency and data integrity crucial to producing accurate financial statements.
- Setting percentile, high, and low filters and visually formatting cells improves ease of use when analyzing financial statements.
Frequently Asked Questions
What does this course cover?
This course explores financial statement analysis using Excel, including visualization methods, setting percentile, high, and low filters, formatting cells, importing and exporting, and creating relational data sources. It also covers QuickBooks and how to link or transfer financial data between QuickBooks and Excel.
What tools does this course focus on?
The course focuses on Excel and QuickBooks. QuickBooks is one of the most popular accounting software systems, while Excel is described as the most powerful data analytics tool available to most users, and the course shows how to transfer and link information between the two.
What skills will I gain from this course?
You will gain skills in accounting analysis, business analysis, financial accounting, financial analysis, financial analysis software, and financial statement analysis.
What topics are taught in the lessons?
The lessons cover low, high, and percentile formatting; importing, exporting, and linking data; and creating a data model in Excel.
How does linking QuickBooks and Excel help with financial statements?
Linking or transferring data between QuickBooks and Excel creates relational data sources, and these relational databases deliver consistency and data integrity that are crucial to producing accurate financial statements.
