Excel for Business: Data Analysis

Location

Online

Study Mode

Classroom, Online

Outcomes

View All

Qualification

Short Courses

Awarded By

Australian Institute of Management Education and Training (RTO: 0049)

Duration

1 day

Start Date

Enquire now for upcoming start dates

Payment Option

Payment plan, Upfront payment

How Much Will It Cost?

Please enquire for further details.

Payment plan

Flexible payment plans are available for this course, making it easier to invest in your future. Enquire now to find out more!

Course Rundown

Excel for Business: Data Analysis, offered by the Australian Institute of Management Education and Training, is a dynamic one-day course designed to empower professionals with essential data analysis skills using Microsoft Excel. As data-driven decision-making becomes increasingly vital across various industries, this course equips participants with the ability to uncover insights, identify patterns, and drive informed outcomes. Attendees will learn to frame business questions, navigate the analytics pipeline, and apply practical Excel tools to transform raw data into actionable insights.

The course is tailored for individuals with a foundational understanding of data analysis who regularly use Excel and wish to enhance their skills. Participants will engage in hands-on learning, covering key areas such as data cleaning, the use of Power Query for automation, and the creation of PivotTables to identify trends. Additionally, the course emphasises the importance of communicating data insights effectively, ensuring that learners can support decision-making processes with structured storytelling techniques. Enquire to learn more.

Watch Excel for Business Data Analytics on YouTube.

Eligibility

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.

FAQS

What You’ll Learn

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 study with Australian Institute of Management Education and Training

AIM provides students with practical qualifications that certify their skills and advances their careers. Each qualification is delivered through a blend of practical exercises and evaluative tools, and with no exams to study for; students can focus on completing assessments that have real world application. With the choice to study online or on campus, studying with AIM means you can maintain your work-life balance while building your future career.

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).

Student Support

AIM (RTO 0049) prides itself on delivering holistic, comprehensive qualifications, that helps you fast-track your career whilst gaining official certification of your skills. Whether you prefer online learning or face-to-face classes, AIM offers both options. The online virtual campus, MyAIM allows students to work through the online modules at their own pace, connect with other students and receive online learning support from AIM’s Student Support and Coaching Services teams.

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