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Daria Toropchyn

Have you ever been asked to create a report based on a lot of data and you did not know where to begin? Or, you simply needed to demonstrate data from different sources all in one place with minimum effort? By the end of this project, you will learn how to operate data to generate a report and demonstrate information in a comprehensive visual way in Microsoft Excel.

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Have you ever been asked to create a report based on a lot of data and you did not know where to begin? Or, you simply needed to demonstrate data from different sources all in one place with minimum effort? By the end of this project, you will learn how to operate data to generate a report and demonstrate information in a comprehensive visual way in Microsoft Excel.

In this project, you will create a free account on Microsoft 365, you will get access to Microsoft Excel and use data to generate a report with informative charts that you can present to your audience. Your new skills will help you efficiently make decisions based on a visual data presentation.

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What's inside

Syllabus

Project Overview
By the end of this project, you will create a free account on Microsoft 365, you will get access to Microsoft Excel, and use data to generate a report with informative charts that you can present to your audience.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners basic spreadsheet skills, including data analysis and visualization
Provides a practical approach to using Microsoft Excel for data analysis and reporting
Develops foundational skills for data analysis and visualization
Covers basic data analysis and visualization techniques, which are industry standard
Suitable for learners with no prior knowledge or experience in data analysis or Excel
Taught by instructors with significant experience in data analysis and visualization

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Visualization using Microsoft Excel with these activities:
Read Excel for Dummies
Gain a strong foundation in the basics of Microsoft Excel by reading a comprehensive guide that covers essential functions, data handling, and charting techniques.
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  • Read through the book, focusing on chapters relevant to the course material.
  • Complete the practice exercises provided in the book to reinforce your understanding.
  • Refer back to the book as needed throughout the course to refresh your knowledge.
Join a study group or discussion forum on Excel
Engage with other learners by joining a study group or discussion forum dedicated to Excel. Share knowledge, ask questions, and provide feedback to enhance your understanding.
Browse courses on Data Analysis
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  • Search for online forums or social media groups focused on Excel.
  • Join a study group or discussion thread that aligns with your learning goals.
  • Actively participate in discussions, share your insights, and seek help when needed.
Review core concepts in the course
Review the fundamental principles of data analysis, Microsoft Excel, data visualization, and data presentation to ensure a strong understanding before starting the course.
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  • Revisit textbooks or lecture notes from previous courses covering data analysis and data visualization.
  • Complete practice exercises or online tutorials on basic Excel functions and data handling.
  • Review examples of effective data visualizations and presentations.
Five other activities
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Explore online tutorials on data analysis with Excel
Enhance your understanding of data analysis techniques and Excel functionality by following guided tutorials and practice exercises.
Browse courses on Data Analysis
Show steps
  • Search for online tutorials on data analysis with Excel using platforms like Coursera, edX, or YouTube.
  • Follow along with the tutorials, completing the exercises and practicing the techniques.
  • Apply the learned techniques to sample datasets to gain hands-on experience.
Practice using Excel for data analysis and visualization
Solidify your grasp of Excel skills by completing practice drills and exercises that focus on data analysis and visualization.
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Show steps
  • Find practice exercises or online quizzes that cover Excel functions, data manipulation, and chart creation.
  • Work through the exercises, testing your knowledge and identifying areas for improvement.
  • Apply the techniques to real-world datasets to see how they can be used to extract insights.
Create a data analysis project using Excel
Demonstrate your mastery of the course material by creating a data analysis project that showcases your ability to gather, analyze, and present data using Excel.
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  • Identify a dataset that aligns with your interests or a specific business problem.
  • Use Excel to clean, analyze, and visualize the data, extracting meaningful insights.
  • Create a comprehensive report that presents your findings and recommendations.
Attend a workshop on advanced Excel techniques
Expand your skills and knowledge by attending a workshop that covers advanced Excel techniques, such as data modeling, macros, or Power BI.
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Show steps
  • Research and identify workshops or training sessions that focus on advanced Excel topics.
  • Attend the workshop, actively participating in the exercises and discussions.
  • Apply the newly learned techniques to your own projects or assignments.
Develop a data visualization dashboard
Create an interactive data visualization dashboard that showcases your ability to transform complex data into clear and visually appealing insights.
Browse courses on Data Visualization
Show steps
  • Gather data from multiple sources and ensure its accuracy and relevance.
  • Clean and prepare the data, making it suitable for visualization.
  • Select appropriate visualization techniques and create interactive dashboards.
  • Present the dashboard to stakeholders, explaining the insights and implications.

Career center

Learners who complete Data Visualization using Microsoft Excel will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts play a pivotal role in transforming raw data into actionable insights. This course, 'Data Visualization using Microsoft Excel,' provides a solid foundation for Data Analysts, equipping them with the skills to generate visually informative reports that effectively communicate insights to stakeholders. By mastering Excel's charting capabilities, Data Analysts can gain a competitive edge in presenting data-driven solutions.
Business Analyst
Business Analysts leverage data to drive strategic decision-making and improve business processes. The 'Data Visualization using Microsoft Excel' course empowers Business Analysts with the ability to create visually impactful reports that clearly convey data-driven insights to stakeholders. Proficiency in Excel's visualization tools enables Business Analysts to effectively communicate complex information, enhancing their ability to drive business outcomes.
Marketing Analyst
Marketing Analysts play a crucial role in understanding customer behavior and optimizing marketing campaigns. This course, 'Data Visualization using Microsoft Excel,' provides Marketing Analysts with the skills to transform marketing data into visually compelling reports that showcase campaign performance, customer trends, and return on investment. Leveraging Excel's visualization capabilities, Marketing Analysts can gain a deeper understanding of customer behavior and make data-informed decisions to improve marketing effectiveness.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making investment recommendations. The course, 'Data Visualization using Microsoft Excel,' equips Financial Analysts with the ability to create visually informative reports that clearly present financial data, performance metrics, and investment opportunities. By harnessing Excel's charting capabilities, Financial Analysts can effectively communicate complex financial information and make data-driven recommendations that maximize returns.
Operations Research Analyst
Operations Research Analysts use data to optimize business processes and decision-making. This course, 'Data Visualization using Microsoft Excel,' provides Operations Research Analysts with the skills to analyze data visually and identify areas for improvement. By leveraging Excel's visualization capabilities, Operations Research Analysts can develop data-driven recommendations that enhance operational efficiency and drive business value.
Data Scientist
Data Scientists use advanced statistical techniques and machine learning algorithms to extract insights from data. While the 'Data Visualization using Microsoft Excel' course may not directly cover advanced data science techniques, it provides a foundation in data handling and visualization. This course can be beneficial for aspiring Data Scientists who want to strengthen their understanding of data and develop skills in presenting insights visually.
Management Consultant
Management Consultants provide expert advice to organizations on improving their performance. The 'Data Visualization using Microsoft Excel' course equips Management Consultants with the skills to analyze data and create visually impactful reports that support their recommendations. Proficiency in data visualization enables Management Consultants to effectively communicate insights to clients and drive positive change within organizations.
Market Researcher
Market Researchers gather and analyze data to understand customer needs and market trends. The course, 'Data Visualization using Microsoft Excel,' provides Market Researchers with the skills to create visually compelling reports that present research findings and market insights. By leveraging Excel's visualization capabilities, Market Researchers can effectively communicate research results and support data-driven decision-making.
Financial Advisor
Financial Advisors provide financial guidance and investment advice to clients. While the 'Data Visualization using Microsoft Excel' course does not directly cover financial advisory services, it provides a foundation in data analysis and visualization. This course may be beneficial for aspiring Financial Advisors who want to enhance their understanding of financial data and develop skills in communicating financial information visually.
Actuary
Actuaries use mathematical and statistical techniques to assess and manage risk. The 'Data Visualization using Microsoft Excel' course provides a foundation in data analysis and visualization, which can be beneficial for aspiring Actuaries. This course can help Actuaries develop skills in presenting complex financial and statistical data in a visually compelling manner.
Statistician
Statisticians use statistical methods to analyze data and draw conclusions. While the 'Data Visualization using Microsoft Excel' course may not cover advanced statistical techniques, it provides a foundation in data handling and visualization. This course may be beneficial for aspiring Statisticians who want to develop skills in presenting statistical findings visually.
Software Engineer
Software Engineers design, develop, and maintain software systems. While the 'Data Visualization using Microsoft Excel' course does not directly cover software engineering concepts, it provides a foundation in data handling and visualization. This course may be beneficial for aspiring Software Engineers who want to develop skills in presenting technical data and software performance metrics visually.
Database Administrator
Database Administrators manage and maintain databases. While the 'Data Visualization using Microsoft Excel' course does not directly cover database administration, it provides a foundation in data handling and visualization. This course may be beneficial for aspiring Database Administrators who want to develop skills in presenting database performance metrics and data trends visually.
Data Entry Clerk
Data Entry Clerks input data into computer systems. While the 'Data Visualization using Microsoft Excel' course does not directly cover data entry, it provides a foundation in data handling and visualization. This course may be beneficial for aspiring Data Entry Clerks who want to develop skills in verifying and organizing data visually.
Customer Service Representative
Customer Service Representatives provide support and assistance to customers. While the 'Data Visualization using Microsoft Excel' course does not directly cover customer service, it provides a foundation in data handling and visualization. This course may be beneficial for aspiring Customer Service Representatives who want to develop skills in understanding and presenting customer data visually.

Reading list

We've selected eight 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 Data Visualization using Microsoft Excel.
Is an exhaustive guide to Microsoft Excel 2019 and goes into great detail about the features of the software. While it can be used as a reference guide, it is also a valuable tool for learners who want to develop a good foundation of the skills needed to use the software.
Covers the principles of data visualization and provides a practical guide to creating effective data visualizations. It includes examples and case studies from a variety of industries.
Teaches readers how to use the R programming language to create data visualizations. It covers a wide range of topics, from the basics of data visualization to more advanced techniques, such as creating interactive visualizations.
Classic work on data visualization, widely considered to be the bible of the field and a practical guide to the theory and practice of data visualization.
Comprehensive introduction to information visualization. It covers the history of the field through its key principles and methods, and applications and theoretical foundations as it impacts human cognition.
Practical guide to data visualization. It covers the basics of data visualization, such as choosing the right chart type and using color effectively, as well as more advanced topics, such as creating interactive visualizations.

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