Cryptocurrency Data Visualization using Plotly Express from Coursera

In this 1-hour long project-based course, you will learn how to visualize Cryptocurrencies using violin plot, pie chart, box plot, scatter plots, line graph, area graph, and candlestick charts through Plotly Express which is a high-level Data Visualization library. You will learn how to create excellent quality graphs and charts using Python. We will be using a real-world application of Data Visualization: The Cryptocurrency market. Whether you are a Crypto enthusiast, a crypto investor, day trader or just someone who wants to “WOW” his audience by creating excellent quality graphs and charts, this course will be highly beneficial to you. You will not only learn Data visualization in Plotly but also about the real-world application of it in the Cryptocurrency market. We will begin by importing all the necessary libraries including Plotly express. Then we will import our dataset and analyze our dataset. Then we will start creating visualizations. We will start with a detailed analysis of the entire crypto market and then focus on bitcoin in the final crypto-specific data visualization section. First, we will use the violin chart and pie charts to compare the cryptocurrencies in terms of their volume. Then we will compare all the cryptocurrencies in terms of their price using box plots. Then we will create scatter plots to have a closer look at the entire crypto market. Finally, we will select bitcoin for the crypto-specific data visualization section and create a line graph. area chart and candlestick chart to visualize and analyze bitcoin. We will be using the Rhyme interface for our guided project. Rhyme is an interactive cloud desktop that gives you the interface to learn hands-on by writing the code yourself. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. Please note that although this project deals with cryptocurrencies, it is for educational purposes only. Basic knowledge of Python programming language is recommended but even those with no prior programming experience will be able to complete this guided project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on labs and interactive materials, making it a practical learning experience

Utilizes Plotly Express, a popular data visualization library in Python

Applicable to both crypto enthusiasts and those seeking to enhance visualization skills

Led by an instructor, Abhishek Jha, with expertise in the field

May be limited for those without prior programming experience, but the course is designed to be accessible

Reviews summary

Plotly express for crypto data visualization

This project-based course introduces you to data visualization using Plotly Express, using real-world data from the cryptocurrency market. With hands-on practice and clear instructions, learners can create high-quality graphs and charts to analyze cryptocurrencies. However, the course is recommended primarily for learners based in North America.

Accessible for learners with no prior programming experience.

"even those with no prior programming experience will be able to complete this guided project."

Straightforward instructions for implementing data visualizations with Plotly.

"Fast implementation with clear instructions!"

Focuses on practical use of data visualization in the cryptocurrency market.

"We will be using a real-world application of Data Visualization: The Cryptocurrency market."

Interactive guided project with instant access to cloud desktops for hands-on practice.

"Rhyme is an interactive cloud desktop that gives you the interface to learn hands-on by writing the code yourself."

Unfavorable opinion of the instructor's accent (note: this is subjective and may not be shared by all learners).

"Never use that fake accent again please"

Course may be best suited for learners based in North America.

"Note: This course works best for learners who are based in the North America region."

Lacks in-depth practical knowledge for understanding cryptocurrency charts.

"Not enough practical information for people looking to gain knowledge in crypto and reading and understanding charts."

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 Cryptocurrency Data Visualization using Plotly Express with these activities:

Compile a collection of resources on data visualization best practices

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Create a curated collection of resources, such as articles, videos, and tools, that provide guidance on best practices for data visualization, reinforcing your understanding of effective visualization techniques.

Browse courses on Data Visualization

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Gather resources from reputable sources, including industry blogs, academic papers, and online communities.
Organize the resources into categories or themes, such as chart types, color theory, and interactive design.
Write a brief summary or annotation for each resource, highlighting its key insights.
Share your compilation with classmates, peers, or online communities.

Attend a virtual study group focused on data visualization

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Participate in a study group to discuss and work on data visualization projects together, fostering collaboration and reinforcing your understanding of the subject.

Browse courses on Data Visualization

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Find a study group or create your own with classmates or peers.
Decide on a project or topic to work on together.
Meet regularly to discuss your progress, share ideas, and provide feedback.
Present your final project to the group for feedback and evaluation.

Solve coding challenges related to data visualization

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Practice your data visualization skills by solving coding challenges, solidifying your understanding of the concepts and techniques covered in the course.

Browse courses on Data Visualization

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Find online coding platforms that offer data visualization challenges.
Select challenges that cover topics such as creating different types of charts, data transformations, and interactivity.
Attempt to solve the challenges independently.
Review your solutions and identify areas for improvement.
Seek help from online forums or mentors if needed.

Three other activities

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Attend a workshop on data visualization for cryptocurrency analysis

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Deepen your understanding of data visualization in the context of cryptocurrency analysis by attending a workshop led by industry experts, gaining practical insights and hands-on experience.

Browse courses on Data Visualization

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Find a workshop on data visualization for cryptocurrency analysis.
Register and attend the workshop.
Participate actively in the discussions and hands-on activities.
Network with other attendees and industry professionals.

Follow a guided tutorial on advanced data visualization techniques

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Expand your knowledge by following a guided tutorial that covers advanced data visualization techniques, such as interactive charts, 3D visualizations, and machine learning-based insights.

Browse courses on Data Visualization

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Identify an online course or tutorial that covers advanced data visualization techniques.
Follow the tutorial step-by-step, implementing the techniques in your own projects.
Experiment with different techniques and explore their applications in various scenarios.
Share your findings and insights with others in online forums or communities.

Create a data visualization dashboard of your own crypto portfolio

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Create a dashboard to track your cryptocurrency investments and analyze market trends, reinforcing your understanding of data visualization and cryptocurrency market dynamics.

Browse courses on Data Visualization

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Gather your cryptocurrency transaction data and portfolio information.
Design the layout and structure of your dashboard.
Select appropriate charts and graphs from Plotly Express to visualize your data.
Implement the data visualization code in Python.
Deploy your dashboard to a platform or share it with others for feedback.

Career center

Learners who complete Cryptocurrency Data Visualization using Plotly Express will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts play an important role in the finance industry. They use data to identify trends, patterns, and opportunities that can help businesses make better decisions. This course can help aspiring Data Analysts build a foundation in data visualization, which is a critical skill for success in this field. By learning how to create clear and concise visualizations, Data Analysts can communicate their findings to stakeholders in a way that is easy to understand and actionable.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. They need to be able to identify trends, patterns, and opportunities that can help businesses make better decisions. This course can help aspiring Quantitative Analysts build a foundation in data visualization, which is a critical skill for success in this field. By learning how to create clear and concise visualizations, Quantitative Analysts can communicate their findings to stakeholders in a way that is easy to understand and actionable.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

Financial Analysts use data to evaluate and make recommendations on investments. They need to be able to understand and interpret financial data, and to communicate their findings to clients and other stakeholders. This course can help aspiring Financial Analysts develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Financial Analysts can communicate their findings in a way that is easy to understand and actionable.

See salaries and explore the career path for Financial Analyst

Data Scientist

Data Scientists use data to solve business problems. They need to be able to collect, clean, analyze, and visualize data in order to identify trends, patterns, and opportunities. This course can help aspiring Data Scientists develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Data Scientists can communicate their findings to stakeholders in a way that is easy to understand and actionable.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to identify and solve business problems. They need to be able to understand and interpret data in order to make recommendations to stakeholders. This course can help aspiring Business Analysts develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Business Analysts can communicate their findings to stakeholders in a way that is easy to understand and actionable.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They need to be able to understand and interpret data in order to create software that is efficient and effective. This course can help aspiring Software Engineers develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Software Engineers can communicate their ideas to colleagues and stakeholders in a way that is easy to understand and actionable.

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Marketer

Marketers use data to understand and target their audience. They need to be able to interpret data in order to create marketing campaigns that are effective and efficient. This course can help aspiring Marketers develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Marketers can communicate their findings to colleagues and stakeholders in a way that is easy to understand and actionable.

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Product Manager

Product Managers are responsible for the development and launch of new products. They need to be able to understand and interpret data in order to make decisions about product design, marketing, and sales. This course can help aspiring Product Managers develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Product Managers can communicate their ideas to colleagues and stakeholders in a way that is easy to understand and actionable.

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Consultant

Consultants help businesses solve problems and improve their performance. They need to be able to understand and interpret data in order to make recommendations to clients. This course can help aspiring Consultants develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Consultants can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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Financial Advisor

Financial Advisors help individuals and businesses manage their finances. They need to be able to understand and interpret financial data in order to make recommendations to clients. This course can help aspiring Financial Advisors develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Financial Advisors can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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Actuary

Actuaries use data to assess and manage risk. They need to be able to understand and interpret data in order to make recommendations to clients. This course can help aspiring Actuaries develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Actuaries can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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Statistician

Statisticians use data to collect, analyze, and interpret data. They need to be able to understand and interpret data in order to make recommendations to clients. This course can help aspiring Statisticians develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Statisticians can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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Data Engineer

Data Engineers design, build, and maintain data systems. They need to be able to understand and interpret data in order to create systems that are efficient and effective. This course can help aspiring Data Engineers develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Data Engineers can communicate their ideas to colleagues and stakeholders in a way that is easy to understand and actionable.

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Risk Analyst

Risk Analysts use data to assess and manage risk. They need to be able to understand and interpret data in order to make recommendations to clients. This course can help aspiring Risk Analysts develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Risk Analysts can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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Auditor

Auditors review and analyze financial records to ensure that they are accurate and complete. They need to be able to understand and interpret data in order to identify errors and fraud. This course can help aspiring Auditors develop the data visualization skills they need to succeed in this field. By learning how to create clear and concise visualizations, Auditors can communicate their findings to clients and stakeholders in a way that is easy to understand and actionable.

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