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Ryan Ahmed
Hello everyone and welcome to this new hands-on project on data visualization and storytelling in python. In this project, we will leverage 3 powerful libraries known as Seaborn, Matplotlib and Plotly to visualize data in an interactive way. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
Register for this course and see more details by visiting:
OpenCourser.com/course/nl59hr/data
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What's inside
Syllabus
Project Overview
Hello everyone and welcome to this new hands-on project on data visualization and storytelling in python. In this project, we will leverage 3 powerful libraries known as Seaborn, Matplotlib and Plotly to visualize data in an interactive way. This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data visualization methods, which are commonplace in many industries
Covers project completion, which is necessary for a successful job interview
Employs three in-demand data visualization software to provide job-ready skills
Lacks prerequisites, but advises students to take other courses first
Save this course
Save Data Visualization & Storytelling in Python to your list so you can find it easily later:
Save
Save
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 & Storytelling in Python with these
activities:
Data Visualization Resource Collection
Show steps
Build a repository of resources such as tutorials, articles, and tools related to data visualization to enhance your learning and stay updated with industry trends.
Show steps
-
Search and collect resources on data visualization
-
Organize and categorize the resources
-
Document your findings and share them with others
Seaborn and Matplotlib Masterclass
Show steps
Enrich your knowledge through guided tutorials that delve into the intricacies of Seaborn and Matplotlib, equipping you with advanced techniques for data visualization.
Browse courses on
Seaborn
Show steps
-
Enroll in a Seaborn or Matplotlib online course or workshop
-
Follow video tutorials or written guides
-
Complete hands-on exercises and assignments
Review Matplotlib
Show steps
Freshen up on basic Matplotlib techniques to strengthen your foundation for further exploration in this project.
Browse courses on
Matplotlib
Show steps
-
Review Matplotlib documentation
-
Go through a few Matplotlib tutorials
-
Work on a small Matplotlib project
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Visualization Challenges
Show steps
Challenge yourself with a set of data visualization puzzles to enhance your problem-solving abilities and improve your understanding of complex datasets.
Show steps
-
Find online data visualization challenges or create your own
-
Attempt to solve the challenges using Seaborn, Matplotlib, or Plotly
-
Analyze your results and identify areas for improvement
Data Visualization Portfolio Project
Show steps
Create a portfolio project that showcases your data visualization skills and demonstrates your ability to apply these techniques to real-world problems.
Show steps
-
Identify a problem or dataset that you want to visualize
-
Choose the appropriate visualization techniques and tools
-
Create your visualization and prepare a presentation
Interactive Visualization Dashboard
Show steps
Create an interactive visualization dashboard to demonstrate your understanding of data visualization and storytelling techniques.
Browse courses on
Interactive Visualization
Show steps
-
Choose a dataset for your dashboard
-
Design and implement a dashboard using Seaborn, Matplotlib, or Plotly
-
Include interactive elements such as filters, tooltips, or drill-down options
Data Visualization Contest
Show steps
Participate in a data visualization contest to showcase your skills, receive feedback from experts, and network with professionals in the field.
Show steps
-
Find or create a data visualization contest
-
Prepare your data and design your visualization
-
Submit your entry and present it to a panel of judges
Data Visualization Resource Collection
Show steps
Build a repository of resources such as tutorials, articles, and tools related to data visualization to enhance your learning and stay updated with industry trends.
Show steps
Show steps
Show steps
- Search and collect resources on data visualization
- Organize and categorize the resources
- Document your findings and share them with others
Seaborn and Matplotlib Masterclass
Show steps
Enrich your knowledge through guided tutorials that delve into the intricacies of Seaborn and Matplotlib, equipping you with advanced techniques for data visualization.
Browse courses on
Seaborn
Show steps
Show steps
Show steps
- Enroll in a Seaborn or Matplotlib online course or workshop
- Follow video tutorials or written guides
- Complete hands-on exercises and assignments
Review Matplotlib
Show steps
Freshen up on basic Matplotlib techniques to strengthen your foundation for further exploration in this project.
Browse courses on
Matplotlib
Show steps
Show steps
Show steps
- Review Matplotlib documentation
- Go through a few Matplotlib tutorials
- Work on a small Matplotlib project
Four other activities
Expand to see all activities and additional details
Show all seven activities
Data Visualization Challenges
Show steps
Challenge yourself with a set of data visualization puzzles to enhance your problem-solving abilities and improve your understanding of complex datasets.
Show steps
Show steps
Show steps
- Find online data visualization challenges or create your own
- Attempt to solve the challenges using Seaborn, Matplotlib, or Plotly
- Analyze your results and identify areas for improvement
Data Visualization Portfolio Project
Show steps
Create a portfolio project that showcases your data visualization skills and demonstrates your ability to apply these techniques to real-world problems.
Show steps
Show steps
Show steps
- Identify a problem or dataset that you want to visualize
- Choose the appropriate visualization techniques and tools
- Create your visualization and prepare a presentation
Interactive Visualization Dashboard
Show steps
Create an interactive visualization dashboard to demonstrate your understanding of data visualization and storytelling techniques.
Browse courses on
Interactive Visualization
Show steps
Show steps
Show steps
- Choose a dataset for your dashboard
- Design and implement a dashboard using Seaborn, Matplotlib, or Plotly
- Include interactive elements such as filters, tooltips, or drill-down options
Data Visualization Contest
Show steps
Participate in a data visualization contest to showcase your skills, receive feedback from experts, and network with professionals in the field.
Show steps
Show steps
Show steps
- Find or create a data visualization contest
- Prepare your data and design your visualization
- Submit your entry and present it to a panel of judges
Career center
Learners who complete Data Visualization & Storytelling in Python will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use scientific methods to analyze data, extract insights, and build predictive models. This course in Data Visualization & Storytelling in Python provides a strong foundation for Data Scientists. It teaches essential data visualization techniques and tools such as Seaborn, Matplotlib, and Plotly. By leveraging these skills, Data Scientists can effectively communicate complex data insights to stakeholders, enabling informed decision-making.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course in Data Visualization & Storytelling in Python aligns well with the role of a Data Analyst. It provides hands-on experience in data visualization and storytelling, empowering Data Analysts to present data in a clear and engaging manner. This skill set is crucial for communicating insights to stakeholders and driving data-driven decision-making.
Business Analyst
Business Analyst
Business Analysts use data to understand business needs and solve problems. This course in Data Visualization & Storytelling in Python is highly relevant to Business Analysts. It equips them with the skills to analyze data, identify trends, and present insights in a compelling way. By effectively communicating data-driven insights, Business Analysts can support informed decision-making within organizations.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course in Data Visualization & Storytelling in Python provides valuable skills for Data Engineers. It introduces data visualization techniques that enable them to monitor data pipelines, identify data quality issues, and communicate data insights to stakeholders. These skills enhance the efficiency and effectiveness of Data Engineers in managing data infrastructure.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course in Data Visualization & Storytelling in Python is beneficial for Software Engineers. It provides foundational knowledge in data visualization techniques and tools. By integrating data visualization into their software applications, Software Engineers can enhance the user experience, improve decision-making, and drive innovation.
Product Manager
Product Manager
Product Managers define and oversee the development of products. This course in Data Visualization & Storytelling in Python may be полезный for Product Managers. It provides insights into data visualization techniques, enabling them to analyze user data, understand product usage patterns, and track key metrics. These skills empower Product Managers to make data-driven decisions and improve product quality.
UX Researcher
UX Researcher
UX Researchers study user behavior to improve the user experience of products and services. This course in Data Visualization & Storytelling in Python may be полезный for UX Researchers. It provides a foundation in data visualization techniques, enabling them to analyze user research data, identify user needs, and present insights in a clear and actionable manner. These skills enhance the effectiveness of UX Researchers in driving user-centric design.
Marketing Analyst
Marketing Analyst
Marketing Analysts analyze marketing data to measure the effectiveness of marketing campaigns and identify areas for improvement. This course in Data Visualization & Storytelling in Python may be полезный for Marketing Analysts. It equips them with the skills to visualize marketing data, track campaign performance, and communicate insights to stakeholders. By leveraging data visualization techniques, Marketing Analysts can optimize marketing strategies and drive business growth.
Financial Analyst
Financial Analyst
Financial Analysts evaluate financial data to make investment recommendations and inform business decisions. This course in Data Visualization & Storytelling in Python may be полезный for Financial Analysts. It provides a foundation in data visualization techniques, enabling them to analyze financial data, identify trends, and present insights in a compelling manner. These skills enhance the effectiveness of Financial Analysts in making data-driven financial recommendations.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to draw meaningful conclusions. This course in Data Visualization & Storytelling in Python may be полезный for Statisticians. It provides hands-on experience in data visualization techniques, enabling them to effectively communicate statistical insights to a wider audience. By leveraging data visualization, Statisticians can make complex statistical concepts more accessible and understandable.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk and determine insurance premiums. This course in Data Visualization & Storytelling in Python may be полезный for Actuaries. It provides a foundation in data visualization techniques, enabling them to analyze actuarial data, identify trends, and present insights to stakeholders. These skills enhance the effectiveness of Actuaries in managing risk and making informed decisions.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of diseases in populations. This course in Data Visualization & Storytelling in Python may be полезный for Epidemiologists. It provides skills in data visualization techniques, enabling them to analyze epidemiological data, identify disease patterns, and communicate insights to policymakers and the public. By effectively visualizing data, Epidemiologists can contribute to public health initiatives and improve population health outcomes.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and inform the public. This course in Data Visualization & Storytelling in Python may be полезный for Data Journalists. It provides a foundation in data visualization techniques, enabling them to analyze data, create engaging visualizations, and communicate insights to their audience. By leveraging data visualization, Data Journalists can make complex stories more accessible and impactful.
Graphic designer
Graphic designer
Graphic Designers create visual concepts to communicate ideas and information. This course in Data Visualization & Storytelling in Python may be полезный for Graphic Designers. It provides insights into data visualization techniques, enabling them to create effective and visually appealing data-driven designs. By combining their design skills with data visualization principles, Graphic Designers can elevate the impact of data-driven storytelling.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces to ensure usability and satisfaction. This course in Data Visualization & Storytelling in Python may be полезный for User Experience Designers. It provides a foundation in data visualization techniques, enabling them to analyze user data, understand user behavior, and present insights to stakeholders. By leveraging data visualization, User Experience Designers can make data-driven decisions and enhance the user experience of digital products.
For more career information including salaries, visit:
OpenCourser.com/course/nl59hr/data
Reading list
We've selected six 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 & Storytelling in Python.
Save
Provides a comprehensive overview of data visualization, covering everything from the basics to advanced techniques. It valuable resource for anyone who wants to learn more about data visualization or improve their skills.
Teaches you how to use data to tell stories that are both engaging and informative. It must-read for anyone who wants to learn how to communicate data effectively.
Provides a comprehensive overview of the principles of graphing data. It valuable resource for anyone who wants to learn how to create data visualizations that are both accurate and informative.
Provides a comprehensive overview of data visualization in Python. It covers everything from the basics to advanced techniques, and it valuable resource for anyone who wants to learn more about data visualization in Python.
Teaches you how to use JavaScript to create interactive data visualizations. It valuable resource for anyone who wants to learn how to create data visualizations that are both engaging and informative.
Save
Provides a comprehensive overview of data visualization with R. It covers everything from the basics to advanced techniques, and it valuable resource for anyone who wants to learn more about data visualization with R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nl59hr/data
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Explores data visualization methods, which are commonplace in many industries
Covers project completion, which is necessary for a successful job interview
Employs three in-demand data visualization software to provide job-ready skills
Lacks prerequisites, but advises students to take other courses first
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