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Amber Israelsen
Microsoft Excel is one of the most commonly-used tools in business today. Whether running calculations, creating reports, or keeping things organized, skills in this area will be in high demand for years to come. In this course, learn how to take your Excel...
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Microsoft Excel is one of the most commonly-used tools in business today. Whether running calculations, creating reports, or keeping things organized, skills in this area will be in high demand for years to come. In this course, learn how to take your Excel worksheets from average to awesome using advanced features of object formatting. You’ll first learn how to insert text boxes, shapes and pictures. From there, you’ll explore how to format those objects to more effectively illustrate your data and message, while taking accessibility into account. Finally, you’ll see how to work with charts—applying layouts and styles, adjusting size and location, and adding and modifying various chart elements. When you’re finished with this course, you’ll have an advanced understanding of Excel objects and how to format them for maximum effect.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Acts as a prerequisite for those learning about data visualization and design
Builds on foundational knowledge of Microsoft Excel
Develops professional skills for Microsoft Excel
Suitable for learners looking to enhance their Microsoft Excel abilities
Covers essential Microsoft Excel concepts for data manipulation and visualization
Provides techniques to make Microsoft Excel spreadsheets visually appealing and accessible

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Career center

Learners who complete Formatting Excel Objects will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst extracts insights from raw data to aid businesses in making effective decisions. Proficiency with Microsoft Excel is mandatory for Data Analysts. This course can help you master advanced features of object formatting, including text boxes, shapes, pictures, formatting, layout, and chart elements. These skills will help you to transcend the role of basic data analysis to advanced data storytelling.
Business Analyst
A Business Analyst is a liaison between business stakeholders and IT professionals, who must convey complex technical information in a clear and persuasive manner. The advanced formatting skills taught in this course can help Business Analysts to produce clear and effective graphics that make complex technical data accessible.
Marketing Analyst
In Marketing, the ability to visualize data is crucial in persuading stakeholders about new plans and initiatives. This course can help you to create visually compelling charts and visualizations from raw data.
Financial Analyst
Financial Analysts work in a multitude of different roles, but they all rely on Excel for data entry and analysis. The advanced Excel object formatting techniques taught in this course will help Financial Analysts to create visually appealing financial reports, presentations, and other visuals.
Management Consultant
Management Consultants may find this course helpful in developing advanced skills in data analysis and presentation that can be useful in advising clients on various business matters.
Project Manager
Project Managers may find this course helpful in understanding advanced data analysis techniques and creating visually compelling project deliverables, such as status reports and timelines.
Operations Research Analyst
Operations Research Analysts use advanced analytical techniques to help organizations make better decisions. This course can help you to develop advanced data analysis and visualization skills that are in high demand for Operations Research roles.
Statistician
Statisticians may find this course helpful for learning advanced data analysis and visualization techniques that can be applied in various industries, such as healthcare, finance, and research.
Risk Analyst
This course may be helpful for Risk Analysts looking to gain advanced data analysis and visualization skills that can aid in identifying, assessing, and mitigating risks.
Quality Assurance Analyst
Quality Assurance Analysts may find this course helpful in learning advanced data analysis and visualization techniques that can support quality control and improvement initiatives.
Sales Analyst
Sales Analysts may find this course helpful for gaining advanced data analysis and visualization skills to aid in sales forecasting, performance analysis, and identifying areas for improvement.
Data Scientist
This course could be helpful to Data Scientists seeking to acquire advanced data analysis and visualization skills for managing large and complex datasets, extracting insights, and making predictions.
Software Engineer
Software Engineers with an interest in data analysis and visualization may find this course beneficial for acquiring advanced skills in these areas, which can enhance the functionality of software applications.
Web Developer
Web Developers seeking to incorporate interactive data visualizations into their projects may find this course useful for learning advanced data analysis and visualization techniques.
Machine Learning Engineer
This course may assist Machine Learning Engineers in developing advanced data analysis and visualization skills to support model development, training, and evaluation.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Formatting Excel Objects.
Provides a comprehensive guide to using advanced features in Excel for business purposes, including data analysis, forecasting, and financial modeling.
Teaches the basics of VBA programming for Excel, which can be useful for automating tasks and customizing the software.
Provides a guide to using Excel for marketing purposes, including data analysis, segmentation, and campaign management.
Provides a guide to using Excel for statistical analysis, including probability distributions, hypothesis testing, and regression analysis.
Provides a comprehensive introduction to using Microsoft Excel, covering both basic and intermediate features.
Provides a guide to using Excel for scientific and engineering applications, including data analysis, modeling, and simulation.
Teaches the basics of statistical analysis using Excel, including descriptive statistics, hypothesis testing, and regression analysis.

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