Free Excel Tutorial - Microsoft Excel - Improve your skills quickly

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    Self Paced
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
Next Course
4.5
41,400 Ratings
This free course provides an introduction to Microsoft Excel, teaching users how to quickly improve their skills with Pivot Tables, Charts, Sparklines, functions, and formulas.
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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This free Excel tutorial provides an introduction to Microsoft Excel and helps learners improve their skills quickly. It covers topics such as creating tables, PivotTables, PivotCharts, and Sparklines, as well as using Conditional Formatting, Filters, and Visual Basic for Applications. Learners will also learn how to use the functions SUM, SUMIF, VLOOKUP, OFFSET, and INDIRECT. By the end of the course, learners will have a comprehensive understanding of Excel and be able to continue their education.

[Applications]
The application of this course can be seen in many areas. It can be used to create tables, PivotTables, PivotCharts, and Sparklines. It can also be used to apply Conditional Formatting, Filters, and Visual Basic for Applications. Additionally, the course can be used to learn how to use the functions SUM, SUMIF, VLOOKUP, OFFSET, and INDIRECT. With this knowledge, users can continue their education and apply their skills to various tasks.

[Career Paths]
1. Data Analyst: Data Analysts are responsible for collecting, organizing, and analyzing data to identify trends and patterns. They use their findings to inform decisions and strategies for businesses. Data Analysts are in high demand as businesses increasingly rely on data-driven decisions. As technology advances, the demand for Data Analysts is expected to continue to grow.

2. Business Intelligence Analyst: Business Intelligence Analysts use data to create reports and dashboards that help businesses make informed decisions. They use Excel to analyze data, create visualizations, and develop predictive models. As businesses become more data-driven, the demand for Business Intelligence Analysts is expected to increase.

3. Financial Analyst: Financial Analysts use Excel to analyze financial data and create financial models. They use their findings to make recommendations to businesses and investors. As the global economy continues to grow, the demand for Financial Analysts is expected to increase.

4. Data Scientist: Data Scientists use Excel to analyze large datasets and develop predictive models. They use their findings to inform decisions and strategies for businesses. As businesses become more data-driven, the demand for Data Scientists is expected to increase.

[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 graphics. As technology continues to evolve, this degree path will become increasingly important for those looking to stay ahead of the curve.

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. As businesses continue to rely on technology to increase efficiency and productivity, this degree path will become increasingly important.

3. Master of Science in Data Science: This degree path focuses on the analysis of large datasets to uncover insights and trends. It covers topics such as machine learning, data mining, and predictive analytics. As data becomes increasingly important for businesses, this degree path will become increasingly important for those looking to stay ahead of the curve.

4. Master of Science in Business Analytics: This degree path focuses on the application of analytics to solve business problems. It covers topics such as data visualization, predictive analytics, and optimization. As businesses continue to rely on analytics to make decisions, this degree path will become increasingly important.

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Pros & Cons
  • Detailoriented course
  • Clearly explained
  • Interactive experience
  • Tricks and tips for intermediate users
  • Good content and trainer
  • Basics and tools explained in depth
  • New formulae and formatting knowledge
  • First exercise difficult to follow
  • No VBA instruction
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