Microsoft Excel advanced: iterative calculation

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  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
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  • Duration
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4.1
15,400 Ratings
This advanced Microsoft Excel course covers the fundamentals of calculation, how to avoid and correct circular references, and how to use iterative calculations to solve problems.
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Course Overview

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Updated in [April 29th, 2023]

This course provides an overview of advanced calculation logic in Microsoft Excel. Participants will learn how to use iterative calculations, fix circular references, and prevent iterative calculations. By the end of the course, participants will have a better understanding of how to use Excel for complex calculations.

[Applications]
The application of this course can be seen in various fields. It can be used to create complex formulas and calculations in Excel, which can be used to analyze data and make decisions. It can also be used to create iterative calculations, which can be used to solve complex problems. Additionally, it can be used to fix circular references and prevent iterative calculations. With the knowledge gained from this course, users can create more efficient and accurate calculations in Excel.

[Career Paths]
1. Data Analyst: Data Analysts use Excel to analyze large datasets and create meaningful insights. They use advanced Excel functions such as iterative calculations, circular references, and other calculation logic to create complex models and reports. As data becomes increasingly important in the business world, the demand for Data Analysts is expected to grow significantly.

2. Financial Analyst: Financial Analysts use Excel to analyze financial data and create financial models. They use advanced Excel functions such as iterative calculations, circular references, and other calculation logic to create complex financial models and reports. With the increasing complexity of financial markets, the demand for Financial Analysts is expected to grow significantly.

3. Business Intelligence Analyst: Business Intelligence Analysts use Excel to analyze large datasets and create meaningful insights. They use advanced Excel functions such as iterative calculations, circular references, and other calculation logic to create complex models and reports. As businesses become increasingly data-driven, the demand for Business Intelligence Analysts is expected to grow significantly.

4. Data Scientist: Data Scientists use Excel to analyze large datasets and create meaningful insights. They use advanced Excel functions such as iterative calculations, circular references, and other calculation logic to create complex models and reports. With the increasing demand for data-driven decision making, the demand for Data Scientists is expected to grow significantly.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and computer networks. With the increasing demand for data-driven decision making, this degree path is becoming increasingly popular.

2. Bachelor of Science in Data Science: This degree path focuses on the analysis and interpretation of data. It covers topics such as data mining, machine learning, and predictive analytics. With the increasing demand for data-driven decision making, this degree path is becoming increasingly popular.

3. Master of Science in Business Analytics: This degree path focuses on the application of data science and analytics to business problems. It covers topics such as data visualization, predictive analytics, and optimization. With the increasing demand for data-driven decision making, this degree path is becoming increasingly popular.

4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. It covers topics such as natural language processing, computer vision, and robotics. With the increasing demand for intelligent systems, this degree path is becoming increasingly popular.

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Pros & Cons
  • Well explained and easy to understand.
  • Good examples.
  • Good effort.
  • Loved the course.
  • Great course.
  • Explanation not clear.
  • Examples not useful.
  • Font size too small.
  • No subtitles.
  • No downloadable videos.
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