Excel Essential Training (Office 365)
This comprehensive Excel Essential Training course provides users with the skills to enter and organize data, create charts and PivotTables, sort data, and utilize other Excel features. Gain the knowledge to maximize the power of Excel with Office 365. ▼
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Course Feature
Cost:
Free Trial
Provider:
LinkedIn Learning
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from LinkedIn Learning platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 01st, 2023]
This Excel Essential Training (Office 365) course provides an overview of the features and functions of Excel. Participants will learn how to enter and organize data, perform calculations with simple functions, and format the appearance of rows, columns, cells, and data. Additionally, the course covers how to work with multiple worksheets, build charts and PivotTables, sort and filter data, use the printing capabilities of Excel, and more. By the end of the course, participants will have a comprehensive understanding of the features and functions of Excel.
[Applications]
After completing this course, users can apply their knowledge of Excel to create and manage spreadsheets, analyze data, and create charts and PivotTables. They can also use Excel to automate tasks, such as sorting and filtering data, and use the printing capabilities of Excel to create professional-looking documents. Additionally, users can use Excel to collaborate with others, share data, and create macros to automate repetitive tasks.
[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. With the rise of big data, the demand for Data Analysts is increasing, and the role is becoming more important in many organizations.
2. Financial Analyst: Financial Analysts use Excel to analyze financial data and create financial models. They use this data to make recommendations to their clients or employers on investments, budgeting, and other financial decisions. With the increasing complexity of the global economy, the demand for Financial Analysts is growing.
3. Business Intelligence Analyst: Business Intelligence Analysts use Excel to analyze data and create reports to help inform business decisions. They use a variety of tools, such as Excel, to analyze data and create reports. With the rise of big data, the demand for Business Intelligence Analysts is increasing, and the role is becoming more important in many organizations.
4. Data Scientist: Data Scientists use Excel to analyze large datasets and create predictive models. They use this data to make recommendations to their clients or employers on investments, budgeting, and other financial decisions. With the increasing complexity of the global economy, the demand for Data Scientists is growing.
[Education Paths]
1. Bachelor of Science in Business Administration: This degree path provides students with a comprehensive understanding of business principles and practices, including accounting, finance, marketing, and management. Students will also learn how to use technology to analyze data and make informed decisions. This degree path is ideal for those looking to pursue a career in business or finance. Developing trends in this field include the use of data analytics and artificial intelligence to make decisions.
2. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science principles and practices, including programming, software engineering, and data structures. Students will also learn how to use technology to analyze data and create software applications. This degree path is ideal for those looking to pursue a career in software engineering or data science. Developing trends in this field include the use of machine learning and artificial intelligence to create more efficient software applications.
3. Master of Science in Data Science: This degree path provides students with a comprehensive understanding of data science principles and practices, including data analysis, machine learning, and artificial intelligence. Students will also learn how to use technology to analyze data and create predictive models. This degree path is ideal for those looking to pursue a career in data science or analytics. Developing trends in this field include the use of big data and cloud computing to create more efficient data models.
4. Master of Science in Business Analytics: This degree path provides students with a comprehensive understanding of business analytics principles and practices, including data analysis, predictive modeling, and decision-making. Students will also learn how to use technology to analyze data and create business strategies. This degree path is ideal for those looking to pursue a career in business analytics or consulting. Developing trends in this field include the use of artificial intelligence and machine learning to create more efficient business strategies.
Course Syllabus
Introduction
Getting started with Excel for Office 365
Course Provider
Provider LinkedIn Learning's Stats at AZClass
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