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Monica Marcela Tejeda Torres
By the end of this project, you will create different types of charts and graphs using Excel spreadsheets and built interactive dashboards. You will acquire basic skills needed to manipulate and create data visualizations and their importance for...
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By the end of this project, you will create different types of charts and graphs using Excel spreadsheets and built interactive dashboards. You will acquire basic skills needed to manipulate and create data visualizations and their importance for storytelling. This project is a first step in the development of data visualizations and telling a story. We will learn about the importance of charts and graphs and how they are able to shape our data providing meaningful information for decision making. Also, we will understand if we have a clean and clear data visualizations we will have a much clear picture of what is happening with our data. This Guided Project was created by a Coursera community member.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches skills that are highly relevant in industry and academia
Teaches valuable data visualization and storytelling skills for decision making
Provides hands-on practice using Excel and interactive dashboards
Taught by Monica Marcela Tejeda Torres, a recognized expert in data visualization
Course is beginner-friendly and builds a strong foundation in data visualization

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Reviews summary

Beginner-friendly excel visualizations

This course is a good starting point for those who are new to data visualization and Excel. It covers the basics of creating charts and graphs in Excel and explains their importance for storytelling and decision-making. The course is well-structured and easy to follow, with clear explanations and helpful examples provided by the instructors. The interactive exercises and quizzes help reinforce the concepts learned. Overall, this course is a valuable resource for anyone looking to improve their data visualization skills.
Provides helpful examples and interactive exercises to reinforce learning.
"... I could watch her on one side of the screen while I practice what I learned on the other side of the screen."
"good skills"
Concepts are explained clearly and simply, making them easy to understand.
"Great beginner tutorial to get started with plots and charts in Microsoft excel."
"The information is easy to understand."
Suitable for beginners with little to no experience in data visualization or Excel.
"This course helped me understand from the very basic level to some extents."
"Its a great basic guided project for excel basics."
May not provide enough depth for experienced users.
"T​oo basic."
"There were repetitive information by the instructor, I expected much more informative material."
Some users have reported issues with audio quality, which can be distracting.
"Need more examples"
"Audio is not good enough making learners difficult to concentrate."

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 Excel Basics for Data Visualizations with these activities:
Review foundational math
Review foundational math concepts to improve understanding of statistical modeling in this course
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Show steps
  • Review concepts in a textbook
  • Take practice problems
  • Attend a workshop
Build a resource collection
Compile a collection of resources to enhance understanding of course material
Show steps
  • Gather resources
  • Organize resources
  • Share resources
Excel Data Visualization Exercises
Strengthen proficiency in using Excel for creating and manipulating data visualizations.
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Show steps
  • Complete a series of guided exercises on creating charts and graphs in Excel.
  • Practice customizing and formatting data visualizations.
  • Apply data visualization techniques to analyze and present data.
11 other activities
Expand to see all activities and additional details
Show all 14 activities
Read Value Proposition Design
Provide a foundation in value proposition design, a key component of data visualization and storytelling.
Show steps
  • Read the book thoroughly, taking notes and highlighting key concepts.
  • Create a mind map or summary of the key concepts and frameworks.
  • Apply the frameworks to a real-world example or business case.
Tableau Tutorial
Introduce students to Tableau, a popular data visualization tool, enhancing their technical skills.
Browse courses on Tableau
Show steps
  • Enroll in an online or in-person Tableau tutorial.
  • Complete the tutorial modules and hands-on exercises.
  • Create a data visualization project using Tableau.
Solve practice problems
Complete practice problems to reinforce understanding of concepts and techniques
Show steps
  • Find practice problems
  • Solve problems
  • Review solutions
Data Visualization: A Practical Introduction
Provide additional insights into data visualization principles and best practices, reinforcing course concepts.
Show steps
  • Read the book thoroughly, taking notes and highlighting key concepts.
  • Complete the exercises and examples presented in the book.
  • Apply the techniques and principles to your own data visualization projects.
Participate in discussion forums
Engage in discussions with peers to clarify concepts and share insights
Show steps
  • Read discussion prompts
  • Respond to prompts
  • Read responses from peers
Data Visualization Online Course
Enhance understanding of data visualization concepts and techniques, complementing the course content.
Browse courses on Data Visualization
Show steps
  • Enroll in an online course on data visualization.
  • Complete the course modules and hands-on exercises.
  • Create a data visualization project using the tools and techniques learned.
Collaborative Data Visualization Workshop
Foster collaboration, exchange of ideas, and peer feedback on data visualization projects.
Browse courses on Data Visualization
Show steps
  • Organize a group of peers or classmates.
  • Present and discuss各自 data visualization projects.
  • Provide feedback and suggestions for improvement.
  • Collaborate on refining and enhancing data visualization techniques.
Create a data visualization
Create a data visualization to demonstrate understanding of data analysis techniques and storytelling
Show steps
  • Gather data
  • Clean and prepare data
  • Choose appropriate visualization
  • Create visualization
  • Present visualization
Data Visualization Storytelling Project
Develop storytelling skills and apply data visualization techniques to communicate insights effectively.
Browse courses on Data Storytelling
Show steps
  • Choose a dataset and identify a story or message to convey.
  • Select appropriate charts and graphs to visualize the data effectively.
  • Create a compelling narrative around the data, using storytelling techniques.
  • Present the data visualization and story to an audience or stakeholders.
Data Visualization Competition
Motivate students to push their boundaries, showcase their skills, and receive external feedback.
Browse courses on Data Visualization
Show steps
  • Identify and register for a data visualization competition.
  • Develop and submit a compelling data visualization project.
  • Receive feedback from judges and industry experts.
  • Network with other data visualization professionals.
Analyze real-world data
Apply data analysis techniques to a real-world dataset to gain practical experience
Show steps
  • Find a suitable dataset
  • Clean and prepare data
  • Perform data analysis
  • Interpret results

Career center

Learners who complete Excel Basics for Data Visualizations will develop knowledge and skills that may be useful to these careers:
Data Visualization Analyst
Data visualization analysts use data to create visual representations of information. They help businesses understand their data and make better decisions. This course can help you develop the skills you need to become a data visualization analyst. You will learn how to create charts and graphs using Excel spreadsheets and build interactive dashboards. You will also learn the importance of data visualization and how to tell a story with data.
Data Scientist
Data scientists use data to solve problems and make predictions. They work in a variety of industries, including finance, healthcare, and marketing. This course can help you develop the skills you need to become a data scientist. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of data science and how to use it to solve real-world problems.
Business Analyst
Business analysts use data to improve business processes. They work in a variety of industries, including consulting, finance, and healthcare. This course can help you develop the skills you need to become a business analyst. You will learn how to collect and analyze data, and create data visualizations. You will also learn the importance of business analysis and how to use it to improve business outcomes.
Financial Analyst
Financial analysts use data to make investment decisions. They work in a variety of industries, including banking, insurance, and investment management. This course can help you develop the skills you need to become a financial analyst. You will learn how to collect and analyze financial data, and create data visualizations. You will also learn the importance of financial analysis and how to use it to make sound investment decisions.
Market Research Analyst
Market research analysts use data to understand consumer behavior. They work in a variety of industries, including marketing, advertising, and product development. This course can help you develop the skills you need to become a market research analyst. You will learn how to collect and analyze data, and create data visualizations. You will also learn the importance of market research and how to use it to develop successful marketing campaigns.
Statistician
Statisticians use data to make inferences about the world. They work in a variety of industries, including government, academia, and healthcare. This course can help you develop the skills you need to become a statistician. You will learn how to collect and analyze data, and create data visualizations. You will also learn the importance of statistics and how to use it to make informed decisions.
Data Engineer
Data engineers design and build the systems that store and process data. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful for you if you want to become a data engineer. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of data engineering and how to build scalable and efficient data systems.
Database Administrator
Database administrators manage and maintain databases. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful for you if you want to become a database administrator. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of database administration and how to keep databases running smoothly.
Software Engineer
Software engineers design and build software applications. They work in a variety of industries, including technology, finance, and healthcare. This course may be useful for you if you want to become a software engineer. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of software engineering and how to build scalable and efficient software applications.
Web Developer
Web developers design and build websites. They work in a variety of industries, including technology, marketing, and education. This course may be useful for you if you want to become a web developer. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of web development and how to build user-friendly and efficient websites.
Product Manager
Product managers are responsible for the development and launch of new products. They work in a variety of industries, including technology, consumer goods, and healthcare. This course may be useful for you if you want to become a product manager. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of product management and how to bring new products to market successfully.
Marketing Manager
Marketing managers are responsible for developing and executing marketing campaigns. They work in a variety of industries, including technology, consumer goods, and healthcare. This course may be useful for you if you want to become a marketing manager. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of marketing management and how to develop successful marketing campaigns.
Business Development Manager
Business development managers are responsible for generating new business opportunities for a company. They work in a variety of industries, including technology, consumer goods, and healthcare. This course may be useful for you if you want to become a business development manager. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of business development and how to identify and pursue new business opportunities.
Customer Success Manager
Customer success managers are responsible for ensuring that customers are successful with a company's products or services. They work in a variety of industries, including technology, consumer goods, and healthcare. This course may be useful for you if you want to become a customer success manager. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of customer success management and how to help customers achieve their goals.
Sales Manager
Sales managers are responsible for leading and managing sales teams. They work in a variety of industries, including technology, consumer goods, and healthcare. This course may be useful for you if you want to become a sales manager. You will learn how to manipulate and analyze data, and create data visualizations. You will also learn the importance of sales management and how to lead and motivate sales teams.

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 Excel Basics for Data Visualizations.
Focuses specifically on data visualization in Excel, covering various chart types, best practices, and techniques for creating effective visual representations of data.
Provides a comprehensive overview of Excel's data analysis capabilities, including data cleaning, transformation, and visualization. It is particularly useful for beginners who want to understand the basics of data analysis in Excel.
Offers a collection of advanced techniques for creating custom charts in Excel, including sparklines, waterfall charts, and interactive charts.
Covers data visualization for data scientists, providing a comprehensive overview of techniques, tools, and best practices for exploring and communicating data insights.
This classic work by Tufte sets the standard for data visualization, offering timeless principles for designing clear and impactful presentations of data.
Emphasizes the ethical considerations and responsibilities in data visualization, discussing how to avoid misrepresentation, bias, and manipulation in data presentations.
Provides a theoretical foundation for data visualization, discussing principles of perception, design, and evaluation to help readers create more effective visualizations.

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