Transform raw financial data into accurate, professional accounting records using modern digital tools. You'll develop the essential skills that accounting assistants use daily: double-entry bookkeeping principles, efficient data entry techniques, and accounting software proficiency. Working with real transaction data, you'll learn to import and process financial information, record transactions using proper accounting standards, and produce balanced trial balances ready for financial statement preparation.

Accounting Data Entry & Double-Entry Bookkeeping Fundamental

Accounting Data Entry & Double-Entry Bookkeeping Fundamental
This course is part of Accounting Assistant Professional Certificate

Instructor: Professionals from the Industry
Access provided by Veterans Transition Support
Recommended experience
What you'll learn
Build complete month-end accounting packages using double-entry principles and modern accounting software like QuickBooks.
Process raw transaction data efficiently using spreadsheet shortcuts and data import tools for accurate financial records.
Create balanced trial balances by recording transactions, posting adjusting entries, and verifying ledger accuracy.
Develop professional accounting workflows combining bookkeeping fundamentals with digital efficiency techniques.
Skills you'll gain
Tools you'll learn
Details to know

Add to your LinkedIn profile
March 2026
See how employees at top companies are mastering in-demand skills

Build your Entrepreneurship expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Coursera

There are 9 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Explore more from Business
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.





