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Data Visualization using Plotly

Welcome to this 1 hour long guided project on Data Visualization using Plotly. Plotly is a python graphing library which is used to make interactive, publication-quality graphs. It allows users to import, copy and paste, or stream data to be analyzed and visualized.

In this project you will learn how to create beautiful visualizations using Plotly constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.

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What's inside

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Introduces learners to data visualization, which is used by professionals in industry

Taught by Naina Chaturvedi, an expert in data visualization

Emphasizes hands-on learning through interactive visualizations in Plotly

Suitable for both beginners and experienced data science professionals

Covers essential concepts and techniques in data visualization

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Reviews summary

Practical plotly for quick data visualization

According to students, this course provides a highly practical and concise introduction to data visualization using Plotly. Learners appreciate its hands-on coding exercises and clear, step-by-step guidance, making it an excellent quick start for beginners and professionals needing to add interactive plots to their skillset. While many find it straight to the point and effective for immediate application, some note its brief duration may lead to a superficial coverage of advanced topics, suggesting it's best for foundational understanding rather than in-depth mastery.

Best for those with some Python familiarity, despite general marketing.

"Prerequisites were not entirely clear – it assumes some familiarity with Python, which wasn't explicit enough for true beginners."

"I felt it was more of a refresher for intermediates rather than a learning curve for new users."

"I found it covered the basics but assumed familiarity with Python and Jupyter notebooks, which is fair for this type of guided project."

Perfectly suited for new learners and those needing a quick skill boost.

"Perfect for beginners to get started with data visualization in Python. The instructor was very clear and the pace was just right."

"As a data analyst, I found this project incredibly useful for quickly learning Plotly."

"The course is great for getting a grip on the fundamentals."

Offers a concise and hands-on guide to Plotly.

"Excellent concise introduction to Plotly. The hands-on coding exercises were very helpful."

"Just what I needed to quickly get up to speed with Plotly. Highly practical and straight to the point."

"I was able to integrate what I learned into my work almost immediately. For a 1-hour project, it delivers on its promise."

The course's brevity means less depth for experienced users.

"My only wish is that it was longer; it felt a bit rushed at times and could use more advanced topics."

"If you already have some experience with Python data visualization libraries, you might find it too superficial."

"I had to look up external resources for more detailed explanations on certain Plotly features."

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 Plotly with these activities:

Tutorial: Create Interactive Graphs with Plotly

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This tutorial will teach you how to create interactive graphs with Plotly, showcasing the power of this library for data presentation.

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Import the necessary Plotly libraries.
Load your data into a DataFrame.
Create a Plotly figure and add your data.
Customize the appearance of your graph.
Publish your graph online or save it to your computer.

Practice: Bar Charts with Plotly

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Practice creating bar charts using Plotly, reinforcing your understanding of data visualization with this fundamental chart type.

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Create a Pandas DataFrame with data.
Import Plotly and create a bar chart.
Set titles, labels, and axis values.
Customize the appearance of your chart.

Practice: Scatter Plots with Plotly

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Create scatter plots with Plotly to visualize relationships between variables and strengthen your understanding of data visualization.

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Import the necessary Plotly libraries.
Load your data into a DataFrame.
Plotly scatter plot your data.
Customize your chart title, labels and legends.
Save or display your visualization.

Three other activities

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Practice: Line Plots with Plotly

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Practice creating line plots with Plotly, reinforcing your ability to visualize trends and patterns over time.

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Create a Pandas DataFrame with data.
Import Plotly and create a line plot.
Set titles, labels, and axis values.
Customize colors, markers and line styles.
Publish or save your interactive line plot.

Create: Customizing Plotly Charts

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Expand your understanding of Plotly by customizing and enhancing its charts, gaining control over the visual presentation and refining your visualizations.

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Create a scatter plot with Plotly.
Customize marker colors, sizes and shapes.
Add a title, labels and a legend.
Change the chart layout, background and margins.
Save or publish your customized chart.

Create: Animated Plotly Charts

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Challenge yourself by creating animated Plotly charts, enhancing your ability to visualize dynamic data and bring your insights to life.

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Create a Pandas DataFrame with time-series data.
Plotly scatter plot with animated markers.
Customize animation speed, colors and shapes.
Add a title, labels and a legend.
Save or publish your animated visualization.

Career center

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

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use data visualization tools to create interactive dashboards and reports that communicate insights to stakeholders. The course on Data Visualization using Plotly can help Data Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data visualization tools to communicate insights to stakeholders, identify patterns and trends in data, and develop predictive models. The course on Data Visualization using Plotly can help Data Scientists develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts use data visualization tools to create interactive dashboards and reports that communicate insights to stakeholders. They use data to identify trends and patterns, and to develop recommendations for improving business performance. The course on Data Visualization using Plotly can help Business Intelligence Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Business Intelligence Analyst

Data Visualization Specialist

Data Visualization Specialists are responsible for designing and developing data visualizations that communicate insights to stakeholders. They use data visualization tools to create interactive dashboards, reports, and presentations. The course on Data Visualization using Plotly can help Data Visualization Specialists develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders.

See salaries and explore the career path for Data Visualization Specialist

Data Engineer

Data Engineers are responsible for designing and building data pipelines that collect, clean, and transform data. They use data visualization tools to monitor data quality and to identify trends and patterns. The course on Data Visualization using Plotly can help Data Engineers develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate machine learning models. The course on Data Visualization using Plotly can help Machine Learning Engineers develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

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Software Engineer

Software Engineers use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate software applications. The course on Data Visualization using Plotly can help Software Engineers develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

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Product Manager

Product Managers use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate product roadmaps. The course on Data Visualization using Plotly can help Product Managers develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

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Marketing Analyst

Marketing Analysts use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate marketing campaigns. The course on Data Visualization using Plotly can help Marketing Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Marketing Analyst

Financial Analyst

Financial Analysts use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate financial models. The course on Data Visualization using Plotly can help Financial Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate operations research models. The course on Data Visualization using Plotly can help Operations Research Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate market research studies. The course on Data Visualization using Plotly can help Market Research Analysts develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Market Research Analyst

User Experience Designer

User Experience Designers use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate user experience designs. The course on Data Visualization using Plotly can help User Experience Designers develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for User Experience Designer

Data Journalist

Data Journalists use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate data-driven stories. The course on Data Visualization using Plotly can help Data Journalists develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Data Journalist

Statistician

Statisticians use data visualization tools to visualize data, identify patterns and trends, and to develop and evaluate statistical models. The course on Data Visualization using Plotly can help Statisticians develop the skills needed to create visually appealing and informative data visualizations that can effectively communicate insights to stakeholders and support data-driven decision-making.

See salaries and explore the career path for Statistician

Reading list

We've selected 13 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 Plotly.

Interactive Data Visualization for the Web

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Provides a comprehensive overview of the techniques and tools for creating interactive data visualizations for the web. It covers topics such as data preparation, chart types, and interactivity, and it provides numerous examples of how to use Plotly to create beautiful and informative visualizations.

Data Visualization using Plotly

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What's inside

Syllabus

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Reviews summary

Practical plotly for quick data visualization

Activities

Career center

Reading list

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