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#TechSkillsDay
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Data visualization is a tool that represents data graphically making it easier to gather insights from.
Some of the benefits of data visualization are: better analysis, quick actions, pattern identification, finding errors, and trend identification.
Some common techiniques used to display data visually are charts, graphs, and maps.
There are no prerequisites for this course.
Read more
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Data visualization is a tool that represents data graphically making it easier to gather insights from.
Some of the benefits of data visualization are: better analysis, quick actions, pattern identification, finding errors, and trend identification.
Some common techiniques used to display data visually are charts, graphs, and maps.
There are no prerequisites for this course.
Read more
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Mona discusses how creativity plays a role when illustrating sensitive data and so many more unique insights.
Data visualization is a tool that represents data graphically making it easier to gather insights from.
Some of the benefits of data visualization are: better analysis, quick actions, pattern identification, finding errors, and trend identification.
Some common techiniques used to display data visually are charts, graphs, and maps.
There are no prerequisites for this course.
You can use data visualizations to your advantage by gathering insights and making decisions for the future.
Register for this course and see more details by visiting:
OpenCourser.com/course/hqyvg6/mona
What's inside
Syllabus
Mona Chalabi
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers how creativity is used to visualize sensitive data, providing unique insights
Explores data visualization as a tool for extracting insights from complex data
Highlights the benefits of data visualization, such as improved analysis and decision-making
Provides an overview of common data visualization techniques, including charts, graphs, and maps
Suitable for beginners with no prior knowledge of data visualization
Save this course
Save Mona Chalabi to your list so you can find it easily later:
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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 Mona Chalabi with these
activities:
Follow tutorials on data visualization techniques
Show steps
Following tutorials on data visualization techniques will help you learn how to use different data visualization tools and techniques.
Browse courses on
Tableau
Show steps
-
Find tutorials on data visualization techniques
-
Follow the tutorials and complete the exercises
Create a data visualization project
Show steps
Creating a data visualization project will help you practice your data visualization skills and learn how to communicate data effectively.
Browse courses on
Tableau
Show steps
-
Choose a dataset
-
Clean and prepare the data
-
Create a data visualization
-
Write a report or presentation on your data visualization
Practice data visualization exercises
Show steps
Practicing data visualization exercises will help you improve your data visualization skills.
Browse courses on
Tableau
Show steps
-
Find data visualization exercises
-
Complete the exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read Statistical Rethinking
Show steps
Data visualization is used to make sense of data and to find patterns.
View
Statistical Rethinking
on Amazon
Show steps
-
Read chapters 1-3
-
Complete exercises in chapters 1-3
-
Read chapters 4-6
-
Complete exercises in chapters 4-6
-
Read remaining chapters
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will help you test your skills and learn from others.
Browse courses on
Tableau
Show steps
-
Find a data visualization competition
-
Prepare your data visualization
-
Submit your data visualization
Mentor other students in data visualization
Show steps
Mentoring other students in data visualization will help you solidify your understanding of the subject matter.
Browse courses on
Tableau
Show steps
-
Find students who need help with data visualization
-
Create a mentoring plan
-
Meet with your mentees
-
Provide feedback and guidance
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source data visualization project will help you give back to the community and learn from others.
Browse courses on
Tableau
Show steps
-
Find an open-source data visualization project
-
Read the project documentation
-
Make a contribution to the project
Follow tutorials on data visualization techniques
Show steps
Following tutorials on data visualization techniques will help you learn how to use different data visualization tools and techniques.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find tutorials on data visualization techniques
- Follow the tutorials and complete the exercises
Create a data visualization project
Show steps
Creating a data visualization project will help you practice your data visualization skills and learn how to communicate data effectively.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Choose a dataset
- Clean and prepare the data
- Create a data visualization
- Write a report or presentation on your data visualization
Practice data visualization exercises
Show steps
Practicing data visualization exercises will help you improve your data visualization skills.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find data visualization exercises
- Complete the exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read Statistical Rethinking
Show steps
Data visualization is used to make sense of data and to find patterns.
View
Statistical Rethinking
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Complete exercises in chapters 1-3
- Read chapters 4-6
- Complete exercises in chapters 4-6
- Read remaining chapters
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will help you test your skills and learn from others.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find a data visualization competition
- Prepare your data visualization
- Submit your data visualization
Mentor other students in data visualization
Show steps
Mentoring other students in data visualization will help you solidify your understanding of the subject matter.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find students who need help with data visualization
- Create a mentoring plan
- Meet with your mentees
- Provide feedback and guidance
Contribute to an open-source data visualization project
Show steps
Contributing to an open-source data visualization project will help you give back to the community and learn from others.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Find an open-source data visualization project
- Read the project documentation
- Make a contribution to the project
Career center
Learners who complete Mona Chalabi will develop knowledge and skills
that may be useful to these careers:
Data Visualizer
Data Visualizer
Data Visualizers are skilled at finding patterns, identifying trends, and communicating insights through the use of visual aids. They use data from various sources to create charts, graphs, and other visual representations that help businesses understand their data and make informed decisions. This course is highly relevant to Data Visualizers as it provides insights into how to illustrate sensitive data in a creative and engaging way. By understanding the principles of data visualization and how to apply them effectively, Data Visualizers can enhance the impact of their work and contribute to the success of their organization.
Business Analyst
Business Analyst
Business Analysts use data to solve business problems and improve decision-making. They gather data from various sources, analyze it, and present their findings to stakeholders. This course is beneficial for Business Analysts as it provides a strong foundation in data visualization, which is an essential skill for effectively communicating data-driven insights. By learning how to create clear and concise visualizations, Business Analysts can enhance the impact of their recommendations and drive better decision-making.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to extract meaningful insights. They use statistical techniques and data visualization tools to identify trends, patterns, and relationships in data. This course is highly relevant to Data Analysts as it provides valuable insights into the creative aspects of data visualization. By understanding how to present data in a visually appealing and engaging manner, Data Analysts can enhance the effectiveness of their communication and make their findings more accessible to stakeholders.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful for Data Scientists as it provides a strong foundation in data visualization, which is an essential skill for communicating complex data insights. By learning how to create clear and concise visualizations, Data Scientists can enhance the impact of their findings and contribute to the success of their organization.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand consumer behavior, market trends, and the effectiveness of marketing campaigns. They use statistical techniques and data visualization tools to identify opportunities and make recommendations for improving marketing strategies. This course is beneficial for Marketing Analysts as it provides valuable insights into the creative aspects of data visualization. By understanding how to present data in a visually appealing and engaging manner, Marketing Analysts can enhance the effectiveness of their communication and make their findings more accessible to stakeholders.
Statistician
Statistician
Statisticians use data to solve problems and make predictions. They use statistical techniques and data visualization tools to analyze data and draw conclusions. This course is beneficial for Statisticians as it provides valuable insights into the creative aspects of data visualization. By understanding how to present data in a visually appealing and engaging manner, Statisticians can enhance the effectiveness of their communication and make their findings more accessible to stakeholders.
Financial Analyst
Financial Analyst
Financial Analysts use data to assess the financial performance of companies and make recommendations for investment decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and relationships in financial data. This course is beneficial for Financial Analysts as it provides a strong foundation in data visualization, which is an essential skill for effectively communicating financial insights. By learning how to create clear and concise visualizations, Financial Analysts can enhance the impact of their recommendations and drive better decision-making.
UX Designer
UX Designer
UX Designers are responsible for designing the user experience of products and services. They use data to understand user needs and behaviors and create designs that are both user-friendly and visually appealing. This course may be useful for UX Designers as it provides a strong foundation in data visualization, which is an essential skill for understanding user behavior and preferences. By learning how to create clear and concise visualizations, UX Designers can enhance the impact of their designs and contribute to the success of their products.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products and services. They work with engineers, designers, and marketing teams to ensure that products meet the needs of customers. This course may be useful for Product Managers as it provides a strong foundation in data visualization, which is an essential skill for understanding customer behavior and market trends. By learning how to create clear and concise visualizations, Product Managers can enhance the impact of their decision-making and contribute to the success of their products.
Project Manager
Project Manager
Project Managers plan, execute, and monitor projects to achieve specific goals. They use data to track progress, identify risks, and make decisions. This course may be useful for Project Managers as it provides a strong foundation in data visualization, which is an essential skill for effectively communicating project status and progress. By learning how to create clear and concise visualizations, Project Managers can enhance the impact of their communication and contribute to the success of their projects.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They use data to understand user needs and develop software that meets those needs. This course may be useful for Software Engineers as it provides a strong foundation in data visualization, which is an essential skill for understanding user behavior and preferences. By learning how to create clear and concise visualizations, Software Engineers can enhance the impact of their software and contribute to the success of their products.
Operations Analyst
Operations Analyst
Operations Analysts use data to improve the efficiency and effectiveness of business operations. They use statistical techniques and data visualization tools to identify areas for improvement and make recommendations for change. This course is beneficial for Operations Analysts as it provides a strong foundation in data visualization, which is an essential skill for effectively communicating operational insights. By learning how to create clear and concise visualizations, Operations Analysts can enhance the impact of their recommendations and drive better decision-making.
Graphic designer
Graphic designer
Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. This course is beneficial for Graphic Designers as it provides valuable insights into the creative aspects of data visualization. By understanding how to present data in a visually appealing and engaging manner, Graphic Designers can enhance the impact of their designs and contribute to the success of their clients.
Information Architect
Information Architect
Information Architects design and organize the structure and content of websites, intranets, online communities, and software applications. This course may be useful for Information Architects as it provides a strong foundation in data visualization, which is an essential skill for understanding user behavior and preferences. By learning how to create clear and concise visualizations, Information Architects can enhance the impact of their designs and contribute to the success of their products.
Data Journalist
Data Journalist
Data Journalists use data to tell stories and inform the public. They use statistical techniques and data visualization tools to analyze data and present their findings in a clear and engaging manner. This course is highly relevant to Data Journalists as it provides valuable insights into the creative aspects of data visualization. By understanding how to present data in a visually appealing and engaging manner, Data Journalists can enhance the impact of their stories and contribute to the success of their organization.
For more career information including salaries, visit:
OpenCourser.com/course/hqyvg6/mona
Reading list
We've selected 19 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
Mona Chalabi.
Provides in-depth exploration of the cognitive and perceptual aspects of data visualization. Offers insights into how humans interact with visual representations and helps optimize designs for better comprehension and decision-making.
Save
This seminal work on data visualization by Edward Tufte provides foundational principles and best practices for creating effective and informative visual representations of data.
Save
Classic work on data visualization, focusing on the principles of design and visual perception. Provides a timeless foundation for understanding the effective use of visual representations, complementing the course's practical approach.
Save
Explores the ethical and social implications of data science and data visualization. Raises awareness of potential biases and challenges in data analysis, fostering critical thinking and responsible data visualization practices.
This textbook offers a comprehensive overview of data visualization techniques and their application in various fields. It includes topics like data types, visual encodings, and chart design principles.
Focuses on the user experience of data visualizations. Provides valuable guidance on creating visualizations that are accessible, usable, and engaging, complementing the course's emphasis on effective storytelling and communication.
Practical companion to "Storytelling with Data", providing exercises and activities to reinforce the concepts and techniques presented in the course. Offers opportunities to apply the principles of effective data storytelling and visualization in real-world scenarios.
This practical guide focuses on effectively communicating data insights through compelling visualizations. It covers storytelling techniques and design principles specifically tailored for business audiences.
Save
Provides comprehensive overview of the principles and practices of data visualization, covering various types of charts, graphs, and maps. Will enhance understanding of how to effectively communicate data and present insights.
Save
Specialized guide to designing effective information dashboards. Provides insights into organizing and presenting data for quick comprehension and decision-making, extending the course's coverage of data visualization in practical applications.
Comprehensive guide to data analytics, covering data collection, cleaning, analysis, and visualization. Provides a foundation for understanding the broader context of data visualization and its role in data-driven decision-making.
Save
Explores the ethical and responsible use of data visualization, emphasizing the importance of accuracy, transparency, and avoiding misleading representations.
This visually engaging book presents a collection of fascinating and informative infographics on a wide range of topics, demonstrating creative and unconventional ways to present data.
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Focuses on designing effective dashboards that clearly convey complex data and insights to users. It provides practical guidance and best practices for creating user-friendly and informative dashboards.
Tutorial on creating interactive data visualizations using Python and JavaScript, focusing on libraries such as matplotlib, Seaborn, and D3.js. Will be helpful for learners interested in developing interactive web-based visualizations.
Covers data visualization techniques and tools in R. It provides a comprehensive overview of R packages for data manipulation, visualization, and statistical analysis.
Save
Accessible introduction to data visualization concepts and techniques, designed for non-technical audiences. Provides clear explanations and practical examples for effectively communicating data.
This reference book provides anthropometric data and design guidelines for human-centered design. It includes information on body dimensions, workspace layout, and accessibility.
Save
Offers a collection of engaging and informative essays on data visualization, covering topics like visual perception, data storytelling, and the use of statistical principles in creating effective visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hqyvg6/mona
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Time
29 hours
Level
Introductory
Via
Pluralsight
Instructor
#TechSkillsDay
Language
English
Good to know
Covers how creativity is used to visualize sensitive data, providing unique insights
Explores data visualization as a tool for extracting insights from complex data
Highlights the benefits of data visualization, such as improved analysis and decision-making
Provides an overview of common data visualization techniques, including charts, graphs, and maps
Suitable for beginners with no prior knowledge of data visualization
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