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Updated in [April 29th, 2023]

This course provides an overview of the fundamentals of Excel (on a Mac) and how to use it to organise and analyse real-world business data. It is designed to help participants gain a firm grasp of Excel in just 60 minutes. The course covers topics such as creating and formatting worksheets, entering data, using formulas and functions, and creating charts and graphs. Participants will also learn how to use Excel to analyse real-world business data and draw meaningful conclusions. At the end of the course, participants will have a better understanding of how to use Excel to organise and analyse data.

[Applications]
This course provides a great foundation for those looking to apply their knowledge of Excel to real-world business data. After completing this course, users should be able to confidently use Excel to organise and analyse data, as well as create charts and graphs to visualise the data. Additionally, users should be able to use Excel to create formulas and functions to automate data analysis. Finally, users should be able to use Excel to create reports and presentations to share their findings.

[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to help inform business decisions. They use a variety of tools, such as Excel, to analyze data and create reports. Data Analysts are in high demand as businesses increasingly rely on data-driven decisions.

2. Business Intelligence Analyst: Business Intelligence Analysts use data to identify trends and patterns in order to inform business decisions. They use Excel to create reports and dashboards to help visualize data and make it easier to understand. As businesses become more data-driven, the demand for Business Intelligence Analysts is increasing.

3. Financial Analyst: Financial Analysts use Excel to analyze financial data and create financial models. They use this data to make recommendations to management on how to best use the company’s resources. Financial Analysts are in high demand as businesses look to maximize their profits.

4. Data Scientist: Data Scientists use a variety of tools, such as Excel, to analyze large amounts of data and uncover insights. They use this data to develop predictive models and algorithms to help businesses make better decisions. As businesses become more data-driven, the demand for Data Scientists is increasing.

[Education Paths]
1. Bachelor of Science in Business Analytics: This degree path focuses on the use of data and analytics to make informed business decisions. Students learn to use data-driven methods to identify trends, develop strategies, and optimize operations. This degree is becoming increasingly popular as businesses become more data-driven and rely on analytics to make decisions.

2. Bachelor of Science in Computer Science: This degree path focuses on the development of computer software and hardware. Students learn to design, develop, and maintain computer systems and applications. This degree is becoming increasingly popular as businesses rely on technology to improve efficiency and productivity.

3. Master of Science in Data Science: This degree path focuses on the use of data to solve complex problems. Students learn to use data-driven methods to identify patterns, develop models, and make predictions. This degree is becoming increasingly popular as businesses rely on data-driven insights to make decisions.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. Students learn to design, develop, and maintain intelligent systems that can learn from data and make decisions. This degree is becoming increasingly popular as businesses rely on AI to automate processes and improve efficiency.