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Updated in [April 29th, 2023]

Welcome to Learn Microsoft Excel Charts: Basic to Advanced! In this course, you will learn how to create amazing charts in Microsoft Excel. With this course, you will be able to create charts that are visually appealing and easy to understand.

Course Overview: This course will cover the basics of creating charts in Microsoft Excel. You will learn how to create different types of charts, such as bar charts, line charts, and pie charts. You will also learn how to customize your charts to make them more visually appealing. Finally, you will learn how to use advanced features such as data labels and trend lines.

Possible Development Directions: After completing this course, you will be able to create charts that are both visually appealing and easy to understand. You will also be able to customize your charts to make them more informative. Additionally, you will be able to use advanced features such as data labels and trend lines.

Related Learning Suggestions: After completing this course, you may want to explore other Microsoft Excel features such as formulas and functions. You may also want to explore other chart types such as scatter plots and bubble charts. Finally, you may want to explore other data visualization tools such as Tableau and Power BI.

[Applications]
After completing this course, students can apply their knowledge of Microsoft Excel Charts to create visually appealing and informative charts for their own projects. They can also use their knowledge to help others create charts for their own projects. Additionally, students can use their knowledge to create charts for presentations, reports, and other documents. Finally, students can use their knowledge to help others understand data more clearly and effectively.

[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, including Microsoft Excel, to create charts and graphs that help visualize data. As data becomes increasingly important in the business world, the demand for Data Analysts is expected to grow.

2. Business Intelligence Analyst: Business Intelligence Analysts use data to help inform business decisions. They use Microsoft Excel to create charts and graphs that help visualize data, as well as other tools to analyze data and create reports. This field is expected to grow as businesses become increasingly reliant on data to make decisions.

3. Financial Analyst: Financial Analysts use data to help inform investment decisions. They use Microsoft Excel to create charts and graphs that help visualize data, as well as other tools to analyze data and create reports. This field is expected to grow as businesses become increasingly reliant on data to make decisions.

4. Data Scientist: Data Scientists use data to help inform business decisions. They use a variety of tools, including Microsoft Excel, to create charts and graphs that help visualize data, as well as other tools to analyze data and create reports. This field is expected to grow as businesses become increasingly reliant on data to make decisions.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science principles and technologies. Students learn how to design, develop, and maintain software systems, as well as how to use programming languages to create applications. With the increasing demand for software development and data analysis, 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. Students learn how to use data to make decisions, develop predictive models, and create visualizations. With the rise of big data, this degree path is becoming increasingly popular.

3. Master of Science in Business Analytics: This degree path focuses on the application of data science principles to business problems. Students learn how to use data to make decisions, develop predictive models, and create visualizations. 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. Students learn how to design and develop algorithms and systems that can learn from data and make decisions. With the increasing demand for AI-driven solutions, this degree path is becoming increasingly popular.

Course Syllabus

Create Overlapped in Charts - Adding Average Line - Highlight Max or Min

Handle Negatives - Secondary Axis - Add Trend Lines - Forecast - Missing Dates

Actual_Target - Expand_Collapse - TOP 10 - Dynamic_Chart - Product Multiple

Dynamic Named Ranges Chart

Interactive Chart & Gauge Chart