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Ikechukwu Nigel Ogbuchi
In this Project, we would be creating some visualizations with Altair Python library and you will learn how to manipulate, interact with and save those charts.
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Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches data visualization with Altair, a Python library popular in industry and academia
Develops practical skills in data manipulation and visualization for learners interested in data analysis
Builds a strong foundation for beginners in data visualization and is suitable for learners with little to no prior experience
Involves hands-on practices with Altair, providing learners with practical experience in data visualization
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Save Create Beautiful Data Visualizations with Python and Altair to your list so you can find it easily later:
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Reviews summary
Visualizing with altair: mixed bag
In this course, you will learn how to manipulate, interact with, and save charts using the Altair Python library. However, reviews indicate that there is a discrepancy between the course title and content. Additionally, there are concerns about the instructor's qualifications.
Covers Altair Python library for visualizations.
"cool visualizations with Altair"
Concerns about instructor's qualifications.
"...nor does the trainer seem to have any qualification as such."
Content doesn't match the course title.
"...neither does the content have anything to do with the title..."
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 Create Beautiful Data Visualizations with Python and Altair with these
activities:
Review Python syntax
Show steps
Brush up on the fundamentals of Python syntax to ensure a solid foundation for this course.
Browse courses on
Python Syntax
Show steps
-
Go through online tutorials on Python syntax.
-
Practice writing simple Python code snippets.
Review 'Effective Data Visualization' by Stephanie Evergreen
Show steps
Gain insights into best practices and principles of data visualization to enhance your Altair usage.
View
Effective Data Visualization
on Amazon
Show steps
-
Read through the book, focusing on chapters relevant to Altair and data visualization.
-
Summarize key concepts and techniques in your own words.
Follow Altair tutorials
Show steps
Enhance your understanding of Altair's features and capabilities through guided tutorials.
Show steps
-
Explore the official Altair documentation and tutorials.
-
Complete interactive exercises and examples provided in the tutorials.
-
Experiment with different Altair chart types and options.
Three other activities
Expand to see all activities and additional details
Show all six activities
Collaborate on Altair projects
Show steps
Engage with peers to exchange knowledge, troubleshoot challenges, and enhance your understanding of Altair.
Show steps
-
Join or create a study group or online forum for Altair users.
-
Share your Altair code and visualizations with others for feedback and suggestions.
-
Collaborate on data visualization projects with peers.
Create various Altair visualizations
Show steps
Solidify your Altair skills by creating a variety of visualizations with different datasets and chart types.
Show steps
-
Gather or generate datasets suitable for visualization.
-
Design and create visualizations using Altair, exploring different chart types and options.
-
Analyze and interpret the results of your visualizations.
Build an interactive Altair dashboard
Show steps
Apply your Altair skills to create a visually appealing and informative dashboard that showcases your data analysis and visualization abilities.
Show steps
-
Identify a dataset and define the scope of your dashboard.
-
Design and implement the dashboard using Altair, incorporating multiple visualizations.
-
Host the dashboard online and share it with others.
Review Python syntax
Show steps
Brush up on the fundamentals of Python syntax to ensure a solid foundation for this course.
Browse courses on
Python Syntax
Show steps
Show steps
Show steps
- Go through online tutorials on Python syntax.
- Practice writing simple Python code snippets.
Review 'Effective Data Visualization' by Stephanie Evergreen
Show steps
Gain insights into best practices and principles of data visualization to enhance your Altair usage.
View
Effective Data Visualization
on Amazon
Show steps
Show steps
Show steps
- Read through the book, focusing on chapters relevant to Altair and data visualization.
- Summarize key concepts and techniques in your own words.
Follow Altair tutorials
Show steps
Enhance your understanding of Altair's features and capabilities through guided tutorials.
Show steps
Show steps
Show steps
- Explore the official Altair documentation and tutorials.
- Complete interactive exercises and examples provided in the tutorials.
- Experiment with different Altair chart types and options.
Three other activities
Expand to see all activities and additional details
Show all six activities
Collaborate on Altair projects
Show steps
Engage with peers to exchange knowledge, troubleshoot challenges, and enhance your understanding of Altair.
Show steps
Show steps
Show steps
- Join or create a study group or online forum for Altair users.
- Share your Altair code and visualizations with others for feedback and suggestions.
- Collaborate on data visualization projects with peers.
Create various Altair visualizations
Show steps
Solidify your Altair skills by creating a variety of visualizations with different datasets and chart types.
Show steps
Show steps
Show steps
- Gather or generate datasets suitable for visualization.
- Design and create visualizations using Altair, exploring different chart types and options.
- Analyze and interpret the results of your visualizations.
Build an interactive Altair dashboard
Show steps
Apply your Altair skills to create a visually appealing and informative dashboard that showcases your data analysis and visualization abilities.
Show steps
Show steps
Show steps
- Identify a dataset and define the scope of your dashboard.
- Design and implement the dashboard using Altair, incorporating multiple visualizations.
- Host the dashboard online and share it with others.
Career center
Learners who complete Create Beautiful Data Visualizations with Python and Altair will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are in high demand, and this course can help you develop the skills you need to succeed. You will learn how to manipulate and clean data, perform statistical analysis and create clear and concise visualizations using Altair. These skills will make you a valuable asset to any organization.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts help businesses make better decisions by analyzing data. This course will teach you how to use Python and Altair to create data visualizations that can help businesses understand their customers, optimize their operations, and make more informed decisions.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses scientific methods to extract knowledge and insights from data. This course will teach you how to use Python and Altair to create data visualizations that can help you identify patterns, trends, and anomalies in data.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course will teach you how to use Python and Altair to create data visualizations that can help you communicate statistical findings in a clear and concise way.
Data Visualization Consultant
Data Visualization Consultant
As a Data Visualization Consultant, you would guide clients in using their data to make compelling and clear visual stories. This course would be vital to provide you with a solid foundation in data visualization techniques, using the powerful Python programming language and the Altair library. You will learn how to create a wide range of visualizations, from simple charts to interactive dashboards, effectively communicating complex data insights in an engaging and impactful way.
Market Researcher
Market Researcher
Market Researchers help businesses understand their customers and make better decisions. This course will teach you how to use Python and Altair to create data visualizations that can help you conduct market research, identify customer trends, and develop marketing campaigns.
UX Designer
UX Designer
UX Designers are responsible for creating user-friendly and visually appealing digital products. This course will give you the skills you need to create data visualizations that are both informative and engaging. You will learn how to use Altair to create interactive charts, graphs, and maps that can be easily understood by users.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course will teach you how to use Python and Altair to create data visualizations that can help you track product performance, identify customer feedback, and make data-driven decisions.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that is used to store, process, and analyze data. This course will teach you how to use Python and Altair to create data visualizations that can help you monitor data quality, identify data errors, and optimize data pipelines.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course will teach you how to use Python and Altair to create data visualizations that can help you identify trading opportunities and make more informed investment decisions.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of organizations. This course will teach you how to use Python and Altair to create data visualizations that can help you identify inefficiencies, optimize processes, and make data-driven decisions.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and spread of diseases. This course will teach you how to use Python and Altair to create data visualizations that can help you track disease outbreaks, identify risk factors, and develop prevention strategies.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make investment decisions. This course will teach you how to use Python and Altair to create data visualizations that can help you analyze financial data, identify investment opportunities, and make more informed investment decisions.
Software Engineer
Software Engineer
Software Engineers with expertise in data visualization are in high demand, especially in fields such as business intelligence and data science. This course will teach you how to use Python and Altair to create interactive and visually appealing data visualizations, a skill that will make you a valuable asset to any software development team.
Risk Analyst
Risk Analyst
Risk Analysts help businesses identify and manage risks. This course will teach you how to use Python and Altair to create data visualizations that can help you identify risks, assess their impact, and develop mitigation strategies.
For more career information including salaries, visit:
OpenCourser.com/course/fayly4/create
Reading list
We've selected 14 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
Create Beautiful Data Visualizations with Python and Altair.
Save
Classic work on data visualization. It provides a wealth of information on how to create effective and informative charts and graphs.
Provides a comprehensive overview of the Altair library and its use in creating data visualizations. It includes hands-on examples and exercises that will help you quickly get started with Altair.
Focuses on building interactive data visualizations with Altair and other libraries. It covers topics such as creating interactive charts, maps, and dashboards.
Provides a comprehensive overview of the art of data visualization. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Save
Provides a comprehensive overview of data visualization. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Provides a framework for choosing the right chart for the right data. It valuable resource for anyone who wants to create effective data visualizations.
Provides a comprehensive overview of data visualization with R and Shiny. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Comprehensive guide to the ggplot2 package in R. It provides a step-by-step approach to creating a wide variety of data visualizations.
Provides a comprehensive overview of data visualization with R. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Provides a comprehensive overview of data visualization with D3.js. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Save
Provides a comprehensive overview of data visualization with Processing. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Provides a comprehensive overview of data visualization with JavaScript. It covers a wide range of topics, including data preparation, chart design, and interaction design.
Provides a comprehensive overview of Python and its use in data analysis. It covers topics such as data cleaning, data manipulation, and data visualization.
Save
Provides a comprehensive overview of data visualization with R. It covers topics such as creating charts, maps, and dashboards.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fayly4/create
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Ikechukwu Nigel Ogbuchi
Good to know
Teaches data visualization with Altair, a Python library popular in industry and academia
Develops practical skills in data manipulation and visualization for learners interested in data analysis
Builds a strong foundation for beginners in data visualization and is suitable for learners with little to no prior experience
Involves hands-on practices with Altair, providing learners with practical experience in data visualization
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