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Excel for Business: Data Analysis

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Location
Online
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Study Mode
Classroom, Online
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Awarded by
Australian Institute of Management Education and Training (RTO: 0049)
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Qualification
Short Courses
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Course Fee
Price may vary
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Duration
1 day
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Start Date
Enquire now for upcoming start dates
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Payment Options
Payment plan, Upfront payment

About the Course

Career Outcome

Fees

About the Course

The “Excel for Business: Data Analysis” course, offered by the Australian Institute of Management Education and Training, is designed to empower professionals with essential data analysis skills using Microsoft Excel. This one-day short course focuses on equipping participants with the ability to frame business questions, navigate the analytics pipeline, and apply practical Excel tools to derive meaningful insights from data. As data increasingly drives decision-making across various sectors, this course provides the foundational knowledge needed to transform raw data into actionable insights, enhancing both individual and organisational performance.

Participants will learn to clean and prepare datasets, utilise intermediate Excel functions, and create PivotTables to identify trends and patterns. The course also covers the use of Excel’s AI tools to streamline the analysis process and improve efficiency. With a strong emphasis on structured storytelling techniques, attendees will be able to effectively communicate their findings, supporting informed decision-making within their organisations. This course is ideal for those with a basic understanding of Excel who are looking to elevate their data analysis capabilities and make a significant impact in their roles. Enquire to learn more.

Watch Excel for Business Data Analytics on YouTube.

Participants should have a foundational understanding of Excel, including basic formulas, data entry and formatting. Some prior exposure to data analysis concepts such as filtering, sorting, and summarising data is recommended to get the most out of this course.

In this Excel for Business: Data Analysis course, the subjects participants may study include:

  • Identify business questions that can be answered using data analysis
  • Translate business challenges into structured, data-driven inquiries
  • Clean and prepare datasets using Excel tools
  • Use basic Power Query transformations to automate data cleaning and consolidation
  • Apply intermediate Excel functions to summarise and analyse data
  • Create and interpret PivotTables to identify patterns and trends
  • Detect and correct issues related to data bias, quality and structure
  • Utilise Excel’s AI tools to generate insights more efficiently
  • Communicate data insights using structured storytelling techniques that support decision making

Why Australian Institute of Management Education and Training?

The Australian Institute of Management Education and Training (AIMET) is dedicated to providing students with practical qualifications that not only certify their skills but also advance their careers. With a focus on real-world application, AIMET delivers courses through a blend of practical exercises and evaluative tools, ensuring that students can engage meaningfully with their learning. Notably, there are no exams to study for, allowing students to concentrate on assessments that truly reflect their capabilities.

AIMET offers the flexibility to study either online or on campus, making it easier for individuals to maintain a healthy work-life balance while pursuing their educational goals. As a registered Higher Education Provider, AIMET is committed to fostering professional growth and lifelong learning opportunities for all students. This supportive environment empowers learners to unlock their potential and build a successful future in their chosen fields.

Australian Institute of Management Education and Training Pty Limited (RTO code 0049) (AIMET) is a registered Higher Education Provider listed on the national register, Provider ID: PRV12071. AIMET uses the brand name AIM with permission from the Australian Institute of Management (ABN 56 004 525 017).