Accredited courses from leading Australian universities, TAFEs and colleges
About the Course
Career Outcome
Fees
The “Excel for Business: Data Management” course, offered by the Australian Institute of Management, is designed to equip participants with essential skills for managing, analysing, and manipulating data effectively in a professional context. This introductory course is particularly suited for individuals with little to no prior experience in Excel, providing a solid foundation in navigating the software, formatting data, and employing formulas. Participants will engage in practical, hands-on learning that covers key techniques for data analysis and visualisation, ensuring they can streamline workflows and uncover valuable insights.
Throughout the course, learners will explore best practices for data input and management, including how to organise datasets and create informative charts. The curriculum emphasises the importance of data integrity and offers strategies for cleaning and validating data. By the end of the course, participants will have developed a comprehensive understanding of Excel’s functionalities, enabling them to work smarter and communicate trends effectively. This course not only enhances individual capabilities but also contributes to professional growth, making it a valuable addition to any career path. Enquire to learn more.
To be eligible to study this course, applicants must have access to:
Microsoft Excel (2016 or later)
A computer or mobile device with a reliable internet connection
The following are recommended for online participation:
A personal or workplace Microsoft account
Speakers and a microphone
A webcam
In this Excel for Business: Data Management course, the subjects participants may study include:
Excel fundamentals for managing business data
Data management techniques in Excel
Using formulas and functions such as SUM, AVERAGE, IF, COUNT and LOOKUP
Analysing and visualising data
Data formatting and validation techniques
Creating and customising charts
Best practices for maintaining data integrity