Excel 2016 Essential Training
Excel 2016 Essential Training provides an in-depth look at the features and functions of the popular spreadsheet program. Through this training, users will gain the skills to effectively enter, organize, and analyze data, as well as create formulas, charts, and PivotTables. ▼
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Course Feature
Cost:
Free Trial
Provider:
LinkedIn Learning
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
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Updated in [March 01st, 2023]
This Excel 2016 Essential Training course provides an overview of the essential features and functions of Microsoft Excel 2016. Participants will learn how to best enter and organize data, perform calculations with simple functions, work with multiple worksheets, format the appearance of their data and cells, and build charts and PivotTables. Additionally, the course will cover the powerful IF, VLOOKUP, and COUNTIF family of functions; the Goal Seek, Solver, and other data analysis tools; and automating tasks with macros. By the end of the course, participants will have a comprehensive understanding of the features and functions of Excel 2016.
[Applications]
After completing this course, users of Excel 2016 Essential Training can apply their knowledge to create and manage spreadsheets, perform calculations, and analyze data. They can also use the powerful IF, VLOOKUP, and COUNTIF family of functions, as well as the Goal Seek, Solver, and other data analysis tools. Additionally, users can automate tasks with macros.
[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 and techniques to identify trends and patterns in data sets, and then present their findings in a clear and concise manner. With the rise of big data, the demand for Data Analysts is growing rapidly, and the ability to use Excel is an essential skill for this role.
2. Financial Analyst: Financial Analysts use Excel to analyze financial data and create financial models to help inform investment decisions. They use Excel to create spreadsheets, analyze data, and create charts and graphs to present their findings. With the increasing complexity of financial markets, the demand for Financial Analysts with strong Excel skills is growing.
3. Business Intelligence Analyst: Business Intelligence Analysts use Excel to analyze data and create reports to help inform business decisions. They use Excel to create spreadsheets, analyze data, and create charts and graphs to present their findings. With the increasing complexity of business operations, the demand for Business Intelligence Analysts with strong Excel skills is growing.
4. Data Scientist: Data Scientists use Excel to analyze large data sets and create predictive models to help inform business decisions. They use Excel to create spreadsheets, analyze data, and create charts and graphs to present their findings. With the increasing complexity of data sets, the demand for Data Scientists with strong Excel skills is growing.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is ideal for those looking to pursue a career in software engineering, data science, or computer programming. Additionally, the developing trends in this field are the increasing use of artificial intelligence and machine learning, as well as the development of new technologies such as blockchain and quantum computing.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as database management, network security, and web development. This degree path is ideal for those looking to pursue a career in information technology, such as software engineering, web development, or network security. Additionally, the developing trends in this field are the increasing use of cloud computing, the development of new technologies such as blockchain, and the use of artificial intelligence and machine learning.
3. Bachelor of Science in Business Analytics: This degree path focuses on the use of data to make business decisions. It covers topics such as data mining, predictive analytics, and data visualization. This degree path is ideal for those looking to pursue a career in business analytics, such as data science, data analysis, or data visualization. Additionally, the developing trends in this field are the increasing use of artificial intelligence and machine learning, the development of new technologies such as blockchain, and the use of big data and analytics.
4. Bachelor of Science in Data Science: This degree path focuses on the use of data to solve complex problems. It covers topics such as data mining, machine learning, and data visualization. This degree path is ideal for those looking to pursue a career in data science, such as data analysis, data engineering, or data visualization. Additionally, the developing trends in this field are the increasing use of artificial intelligence and machine learning, the development of new technologies such as blockchain, and the use of big data and analytics.
Course Syllabus
Introduction
Using the exercise files
Course Provider
Provider LinkedIn Learning's Stats at AZClass
Excel 2016 Essential Training provides an in-depth look at the features and capabilities of the popular spreadsheet program. Through this training, users will gain the skills to effectively enter, organize, and analyze data, and create formulas, charts, and pivot tables. It provides learners with the skills to enter and organize data efficiently, perform calculations using simple functions, work with multiple worksheets, format data and the appearance of cells, and build charts and pivot tables. Learners can also learn how to use the powerful IF, VLOOKUP, and COUNTIF function families, as well as Goal Seek, Solver, and other data analysis tools. Additionally, learners can learn how to automate tasks using macros.
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