Free Data Visualization Tutorial - Microsoft Excel - Basic Data Visualization in Excel faq

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4.2
learnersLearners: 17,700
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This free tutorial provides an introduction to data visualization in Microsoft Excel. Learn how to create effective visualizations to better understand and present data.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

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 course provides an overview of basic data visualization in Microsoft Excel. Participants will learn how to use Excel to create well-designed graphs, format graphs beyond the usual options, and make data that is "graph-worthy." Additionally, participants will learn how to summarize data before graphing using lookups and Pivot Tables, and create graphs in Excel that are similar to those found in today's most prestigious magazines.

[Applications]
After completing this course, students can apply their knowledge of data visualization in Excel to create visually appealing graphs. They can use lookups and Pivot Tables to summarise data before graphing, and use formatting options to make their graphs look professional. Students can also use their knowledge to create graphs that are similar to those found in today's most prestigious magazines.

[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 create visualizations and reports that help organizations understand their data. Data Analysts are in high demand as businesses increasingly rely on data-driven decisions.

2. Business Intelligence Developer: Business Intelligence Developers are responsible for designing and developing data warehouses and data marts. They use a variety of tools, such as Excel, to create data models and visualizations that help organizations make better decisions. Business Intelligence Developers are in high demand as businesses increasingly rely on data-driven decisions.

3. Data Scientist: Data Scientists are responsible for extracting insights from large datasets. They use a variety of tools, such as Excel, to create predictive models and visualizations that help organizations make better decisions. Data Scientists are in high demand as businesses increasingly rely on data-driven decisions.

4. Data Visualization Specialist: Data Visualization Specialists are responsible for creating visualizations that help organizations understand their data. They use a variety of tools, such as Excel, to create interactive visualizations that help organizations make better decisions. Data Visualization Specialists are in high demand as businesses increasingly rely on data-driven decisions.

[Education Paths]
1. Bachelor of Science in Data Science: Data Science is a rapidly growing field that combines mathematics, computer science, and statistics to analyze and interpret large datasets. This degree path provides students with the skills to develop and apply data-driven solutions to real-world problems. Students will learn how to use data to make decisions, create predictive models, and develop visualizations. Additionally, they will gain an understanding of the ethical implications of data science.

2. Bachelor of Science in Business Analytics: Business Analytics is a field that focuses on using data to make decisions and improve business operations. This degree path provides students with the skills to analyze data, develop predictive models, and create visualizations. Students will learn how to use data to identify trends, develop strategies, and optimize processes. Additionally, they will gain an understanding of the ethical implications of data-driven decision making.

3. Master of Science in Data Visualization: Data Visualization is a field that focuses on using data to create visual representations of information. This degree path provides students with the skills to design and develop data visualizations that are both aesthetically pleasing and informative. Students will learn how to use data to create interactive visualizations, develop dashboards, and create data-driven stories. Additionally, they will gain an understanding of the ethical implications of data visualization.

4. Master of Science in Business Intelligence: Business Intelligence is a field that focuses on using data to gain insights and make decisions. This degree path provides students with the skills to analyze data, develop predictive models, and create visualizations. Students will learn how to use data to identify trends, develop strategies, and optimize processes. Additionally, they will gain an understanding of the ethical implications of data-driven decision making.

Pros & Cons

Pros Cons
  • pros

    Informative, helpful, short and simple, easy to follow and understand, excellent teaching, well organized, great for beginners.

  • cons

    Lack of explanation of VLOOKUP, unclear navigation.

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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