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Ali Karaki
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على لوحة المعلومات بالإضافة إلى شرح كيفيّة إنشاء لوحات باستعمال نوعين من البرامج (Klipfolio و Datapine).
Read more
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على لوحة المعلومات بالإضافة إلى شرح كيفيّة إنشاء لوحات باستعمال نوعين من البرامج (Klipfolio و Datapine).
Read more
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على لوحة المعلومات بالإضافة إلى شرح كيفيّة إنشاء لوحات باستعمال نوعين من البرامج (Klipfolio و Datapine).
في نهاية هذه الدورة، ستكون قادرا على إنشاء لوحات المعلومات تطبيقية وفعالة باستخدام برنامجين مختلفين في سيكويل (Klipfolio و Datapine).
Register for this course and see more details by visiting:
OpenCourser.com/course/kmuumk/l`ml
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What's inside
Syllabus
Module 1
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعرف على لوحة المعلومات بالإضافة إلى شرح كيفيّة إنشاء لوحات باستعمال نوعين من البرامج (Klipfolio و Datapine).
في نهاية هذه الدورة، ستكون قادرا على إنشاء لوحات المعلومات تطبيقية وفعالة باستخدام برنامجين مختلفين في سيكويل (Klipfolio و Datapine).
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
يُعد هذا المسار مفيدًا للمهنيين الذين يبحثون عن تطوير مهارات جديدة في مجال تحليل البيانات
يوفر هذا المسار التعريفي للمستخدمين الجدد في لوحات المعلومات مما يجعله مناسبًا للمبتدئين
يغطي المسار أدوات تحليل البيانات الأساسية مثل Klipfolio و Datapine
مناسب لأولئك الذين لديهم اهتمام بتطوير مهارات في مجال لوحات المعلومات
يتيح المسار للمتعلمين إمكانية إنشاء لوحات معلومات فعالة باستخدام أدوات مختلفة
يوفر المسار أساسًا قويًا لإنشاء لوحات معلومات مخصصة وذات صلة
Save this course
Save العمل مع لوحات المعلومات في لغة الاستعلام البنيوية سيكويل 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 العمل مع لوحات المعلومات في لغة الاستعلام البنيوية سيكويل with these
activities:
Review basic data analysis concepts
Show steps
Refresh your knowledge of fundamental data analysis principles to enhance your understanding of dashboard creation.
Browse courses on
Data Analysis
Show steps
-
Review key concepts such as data types, data manipulation, and statistical measures.
-
Practice using simple data analysis techniques.
Review key dashboard concepts
Show steps
Refresh your knowledge of key dashboard concepts, like types, components, and best practices. This foundation can enhance your ability to create effective dashboards in the course.
Browse courses on
Data Visualization
Show steps
-
Review notes or textbooks on dashboard concepts
-
Study industry articles or whitepapers on effective dashboards
Review basic data manipulation skills
Show steps
Start with a solid foundation by reviewing the basics of data manipulation.
Browse courses on
Data Manipulation
Show steps
-
Review data types and structures
-
Practice filtering and sorting data
-
Refresh knowledge of data aggregation and summarization
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend webinars or online meetups on data visualization
Show steps
Expand your network and stay updated on industry trends by attending webinars or online meetups on data visualization. These events can provide valuable insights and connections.
Browse courses on
Networking
Show steps
-
Identify relevant webinars or meetups using platforms like Meetup or Eventbrite
-
Register for the events and actively participate in discussions
-
Connect with other professionals and exchange ideas
Collect and categorize dashboard resources
Show steps
Build a personalized collection of resources to support your dashboard creation journey.
Browse courses on
Data Visualization Tools
Show steps
-
Identify and gather relevant articles, tutorials, and tools related to dashboard creation.
-
Organize and categorize the resources based on topics or use cases.
-
Share your collection with peers or fellow students for mutual benefit.
Review Klipfolio data pipeline
Show steps
Familiarize yourself with the basics of Klipfolio data pipeline for data management and analysis. This can aid in better understanding the course's primary concepts and tools.
Browse courses on
Data Management
Show steps
-
Read Klipfolio documentation on data pipeline
-
Follow online tutorials or videos demonstrating Klipfolio data pipeline
-
Practice creating simple data pipelines in Klipfolio
Explore online tutorials on Datapine
Show steps
Supplement your learning by exploring online tutorials on Datapine. These tutorials can provide practical guidance and help you master different aspects of Datapine.
Show steps
-
Search for relevant Datapine tutorials on platforms like YouTube, Coursera, or Udemy
-
Follow along with the tutorials to learn about Datapine functionality
-
Apply what you learn in the tutorials to your own Datapine projects
Follow tutorials on creating dashboards in Klipfolio
Show steps
Develop proficiency in creating dashboards using Klipfolio with guided tutorials.
Browse courses on
Dashboard Creation
Show steps
-
Find tutorials on Klipfolio's website or YouTube
-
Follow the steps in the tutorials to create your own dashboards
-
Experiment with different data sources and visualizations
Solve Datapine practice exercises
Show steps
Enhance your practical skills by solving Datapine practice exercises. These exercises can test your understanding and identify areas where you need improvement.
Browse courses on
Data Visualization
Show steps
-
Find Datapine practice exercises online or in the Datapine documentation
-
Attempt the exercises and check your answers against provided solutions
-
Repeat the exercises until you achieve proficiency
Design a dashboard using a provided dataset
Show steps
Apply the concepts learned in the course by creating a dashboard from scratch using a provided dataset.
Browse courses on
Dashboard Design
Show steps
-
Review the provided dataset and identify key metrics to visualize.
-
Select an appropriate software (Klipfolio or Datapine) and design a dashboard layout.
-
Create visualizations and charts to represent the data effectively.
-
Review and refine the dashboard for clarity and presentation.
Participate in a peer review session on dashboard designs
Show steps
Enhance your dashboards by receiving feedback from peers and providing feedback on theirs.
Browse courses on
Peer Review
Show steps
-
Join a peer group or discussion forum
-
Share your dashboard design for feedback
-
Provide constructive criticism to other participants
Create a sample dashboard in Klipfolio
Show steps
Apply your knowledge by creating a sample dashboard in Klipfolio. This hands-on experience will reinforce the concepts and techniques taught in the course.
Show steps
-
Identify data sources and metrics for your dashboard
-
Build data pipelines in Klipfolio to connect to the data sources
-
Create visualizations and widgets for your dashboard
-
Customize the dashboard design and layout
-
Share the dashboard with others for feedback and improvement
Collaborate on a dashboard project
Show steps
Enhance your dashboard creation skills by working with a peer to provide and receive feedback.
Browse courses on
Teamwork
Show steps
-
Find a peer or form a small group to collaborate with.
-
Decide on a dataset and dashboard theme.
-
Divide tasks and create your respective dashboard components.
-
Provide constructive feedback to each other, focusing on design, functionality, and data interpretation.
Contribute to open-source data visualization projects
Show steps
Deepen your understanding and contribute to the data visualization community by participating in open-source projects. This can provide hands-on experience and exposure to real-world challenges.
Browse courses on
Community Involvement
Show steps
-
Identify open-source data visualization projects on platforms like GitHub
-
Review the project documentation and codebase
-
Contribute to the project by fixing bugs, improving features, or adding new functionality
-
Collaborate with other developers and learn from their expertise
Design a dashboard for a specific business scenario
Show steps
Apply your skills by designing a dashboard that addresses a real-world business scenario.
Browse courses on
Dashboard Design
Show steps
-
Identify a business scenario and define your target audience
-
Gather data from relevant sources
-
Choose appropriate visualizations and metrics
-
Create a visually appealing and informative dashboard
Review basic data analysis concepts
Show steps
Refresh your knowledge of fundamental data analysis principles to enhance your understanding of dashboard creation.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review key concepts such as data types, data manipulation, and statistical measures.
- Practice using simple data analysis techniques.
Review key dashboard concepts
Show steps
Refresh your knowledge of key dashboard concepts, like types, components, and best practices. This foundation can enhance your ability to create effective dashboards in the course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review notes or textbooks on dashboard concepts
- Study industry articles or whitepapers on effective dashboards
Review basic data manipulation skills
Show steps
Start with a solid foundation by reviewing the basics of data manipulation.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Review data types and structures
- Practice filtering and sorting data
- Refresh knowledge of data aggregation and summarization
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Attend webinars or online meetups on data visualization
Show steps
Expand your network and stay updated on industry trends by attending webinars or online meetups on data visualization. These events can provide valuable insights and connections.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Identify relevant webinars or meetups using platforms like Meetup or Eventbrite
- Register for the events and actively participate in discussions
- Connect with other professionals and exchange ideas
Collect and categorize dashboard resources
Show steps
Build a personalized collection of resources to support your dashboard creation journey.
Browse courses on
Data Visualization Tools
Show steps
Show steps
Show steps
- Identify and gather relevant articles, tutorials, and tools related to dashboard creation.
- Organize and categorize the resources based on topics or use cases.
- Share your collection with peers or fellow students for mutual benefit.
Review Klipfolio data pipeline
Show steps
Familiarize yourself with the basics of Klipfolio data pipeline for data management and analysis. This can aid in better understanding the course's primary concepts and tools.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Read Klipfolio documentation on data pipeline
- Follow online tutorials or videos demonstrating Klipfolio data pipeline
- Practice creating simple data pipelines in Klipfolio
Explore online tutorials on Datapine
Show steps
Supplement your learning by exploring online tutorials on Datapine. These tutorials can provide practical guidance and help you master different aspects of Datapine.
Show steps
Show steps
Show steps
- Search for relevant Datapine tutorials on platforms like YouTube, Coursera, or Udemy
- Follow along with the tutorials to learn about Datapine functionality
- Apply what you learn in the tutorials to your own Datapine projects
Follow tutorials on creating dashboards in Klipfolio
Show steps
Develop proficiency in creating dashboards using Klipfolio with guided tutorials.
Browse courses on
Dashboard Creation
Show steps
Show steps
Show steps
- Find tutorials on Klipfolio's website or YouTube
- Follow the steps in the tutorials to create your own dashboards
- Experiment with different data sources and visualizations
Solve Datapine practice exercises
Show steps
Enhance your practical skills by solving Datapine practice exercises. These exercises can test your understanding and identify areas where you need improvement.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find Datapine practice exercises online or in the Datapine documentation
- Attempt the exercises and check your answers against provided solutions
- Repeat the exercises until you achieve proficiency
Design a dashboard using a provided dataset
Show steps
Apply the concepts learned in the course by creating a dashboard from scratch using a provided dataset.
Browse courses on
Dashboard Design
Show steps
Show steps
Show steps
- Review the provided dataset and identify key metrics to visualize.
- Select an appropriate software (Klipfolio or Datapine) and design a dashboard layout.
- Create visualizations and charts to represent the data effectively.
- Review and refine the dashboard for clarity and presentation.
Participate in a peer review session on dashboard designs
Show steps
Enhance your dashboards by receiving feedback from peers and providing feedback on theirs.
Browse courses on
Peer Review
Show steps
Show steps
Show steps
- Join a peer group or discussion forum
- Share your dashboard design for feedback
- Provide constructive criticism to other participants
Create a sample dashboard in Klipfolio
Show steps
Apply your knowledge by creating a sample dashboard in Klipfolio. This hands-on experience will reinforce the concepts and techniques taught in the course.
Show steps
Show steps
Show steps
- Identify data sources and metrics for your dashboard
- Build data pipelines in Klipfolio to connect to the data sources
- Create visualizations and widgets for your dashboard
- Customize the dashboard design and layout
- Share the dashboard with others for feedback and improvement
Collaborate on a dashboard project
Show steps
Enhance your dashboard creation skills by working with a peer to provide and receive feedback.
Browse courses on
Teamwork
Show steps
Show steps
Show steps
- Find a peer or form a small group to collaborate with.
- Decide on a dataset and dashboard theme.
- Divide tasks and create your respective dashboard components.
- Provide constructive feedback to each other, focusing on design, functionality, and data interpretation.
Contribute to open-source data visualization projects
Show steps
Deepen your understanding and contribute to the data visualization community by participating in open-source projects. This can provide hands-on experience and exposure to real-world challenges.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Identify open-source data visualization projects on platforms like GitHub
- Review the project documentation and codebase
- Contribute to the project by fixing bugs, improving features, or adding new functionality
- Collaborate with other developers and learn from their expertise
Design a dashboard for a specific business scenario
Show steps
Apply your skills by designing a dashboard that addresses a real-world business scenario.
Browse courses on
Dashboard Design
Show steps
Show steps
Show steps
- Identify a business scenario and define your target audience
- Gather data from relevant sources
- Choose appropriate visualizations and metrics
- Create a visually appealing and informative dashboard
Career center
Learners who complete العمل مع لوحات المعلومات في لغة الاستعلام البنيوية سيكويل will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators use their skills in database management and administration to maintain and optimize databases. They use their knowledge of database systems and technologies to ensure that databases are available, reliable, and secure. A course on building dashboards can help Database Administrators create more effective dashboards, which can lead to better decision-making and improved database performance.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use their skills in data analysis and visualization to identify trends and patterns in data. They use their knowledge of business intelligence tools and techniques to create reports and dashboards that help businesses to make better decisions. A course on building dashboards can help Business Intelligence Analysts create more effective dashboards, which can lead to better decision-making and improved business outcomes.
UX Designer
UX Designer
UX Designers use their skills in user experience design and research to improve the usability and user experience of websites and applications. They use their knowledge of human factors and psychology to create user interfaces that are both easy to use and enjoyable. A course on building dashboards can help UX Designers create more effective dashboards, which can lead to improved user engagement and satisfaction.
Product Manager
Product Manager
Product Managers use their skills in product management and marketing to develop and launch new products and services. They use their knowledge of the market and customer needs to identify opportunities for new products and to develop product roadmaps. A course on building dashboards can help Product Managers create more effective product dashboards, which can lead to better decision-making and improved product success.
Data Engineer
Data Engineer
Data Engineers use their skills in data engineering and architecture to design and build data pipelines. They use their knowledge of data storage and processing technologies to create data pipelines that are both efficient and scalable. A course on building dashboards can help Data Engineers create more effective dashboards, which can lead to better decision-making and improved data quality.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use their skills in data visualization and design to create visual representations of data. They use their knowledge of visual perception and design principles to create visualizations that are both informative and aesthetically pleasing. A course on building dashboards can help Data Visualization Specialists create more effective dashboards, which can lead to better decision-making and improved business outcomes.
Data Scientist
Data Scientist
Data Scientists use their skills in data analysis, machine learning, and statistics to solve business problems. They use their knowledge to build models that can predict future outcomes, optimize processes, and identify new opportunities. A course on building dashboards can help Data Scientists to create more effective visualizations of their data, which can help them to communicate their findings more effectively to decision-makers.
Business Analyst
Business Analyst
Business Analysts help businesses to improve their performance by providing data-driven insights. They use their skills in data analysis and visualization to identify opportunities for improvement and to create plans for implementing changes. A course on building dashboards can help Business Analysts to create more effective dashboards, which can lead to better decision-making and improved business outcomes.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in data analysis, optimization, and simulation to solve business problems. They use their knowledge of mathematical modeling and computer programming to develop solutions that improve efficiency and productivity. A course on building dashboards can help Operations Research Analysts create more effective visualizations of their data, which can help them to communicate their findings more effectively to decision-makers.
Statistician
Statistician
Statisticians use their skills in data analysis, probability, and statistics to design and conduct research studies. They use their knowledge to analyze data and to draw conclusions about the population from which the data was collected. A course on building dashboards can help Statisticians create more effective visualizations of their data, which can help them to communicate their findings more effectively to decision-makers.
Data Analyst
Data Analyst
Data Analysts pore over large amounts of data, searching for important patterns and insights. A course on building dashboards can help Data Analysts better understand what types of visualizations are appropriate for different types of data, which can lead to more effective dashboards and more actionable insights.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in data analysis and visualization to evaluate the financial performance of companies and to make investment recommendations. They use their knowledge of financial markets and accounting principles to identify undervalued companies and to develop investment strategies. A course on building dashboards can help Financial Analysts create more effective dashboards, which can lead to better decision-making and improved investment performance.
Market Researcher
Market Researcher
Market Researchers use their skills in data analysis and visualization to understand the needs of customers and to develop new products and services. They use their knowledge of market trends and consumer behavior to identify opportunities for growth. A course on building dashboards can help Market Researchers create more effective dashboards, which can lead to better decision-making and improved business outcomes.
Software Engineer
Software Engineer
Software Engineers use their skills in computer programming and software design to develop and maintain software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. A course on building dashboards can help Software Engineers create more effective user interfaces for their software applications, which can lead to improved usability and user satisfaction.
Web Developer
Web Developer
Web Developers use their skills in web design and programming to create and maintain websites. They use their knowledge of HTML, CSS, and JavaScript to create websites that are both visually appealing and functional. A course on building dashboards can help Web Developers create more effective data visualizations for their websites, which can lead to improved user engagement and conversion rates.
For more career information including salaries, visit:
OpenCourser.com/course/kmuumk/l`ml
Reading list
We've selected 12 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
العمل مع لوحات المعلومات في لغة الاستعلام البنيوية سيكويل.
Save
This classic book by Edward Tufte foundational work in the field of data visualization. It covers the principles of visual communication, including data organization, chart design, and the use of color and typography.
Save
Focuses on the design and development of effective information dashboards. It covers various dashboard design principles, data visualization techniques, and best practices for communicating data insights.
Focuses on the principles and techniques of effective data storytelling. It emphasizes the importance of using data to support narratives and communicating insights in a clear and engaging way.
Focuses on the principles of effective data visualization, emphasizing the importance of choosing the right chart type for the data and the intended audience. It provides practical examples and case studies to illustrate these principles.
Introduces the principles and techniques of interactive data visualization for the web. It covers various JavaScript libraries and techniques for creating interactive charts, maps, and other data visualizations.
Provides a comprehensive guide to using ggplot2, a popular R package for data visualization. It covers various chart types, data transformations, and customization options, and provides practical examples and case studies.
Save
Provides a broad overview of data visualization, covering various chart types, design principles, and the use of data visualization in data science. It also includes a brief introduction to data science and provides practical examples and case studies.
Save
Introduces the fundamentals of data visualization, including data types, chart types, and principles of effective visualization. It provides hands-on examples and exercises to help readers apply these principles in practice.
Provides a step-by-step guide to data visualization, covering various chart types, design principles, and the use of visualization tools. It is specifically designed for beginners and provides a gentle introduction to the topic.
Save
Provides a comprehensive overview of the principles and techniques of designing data-intensive applications. It covers topics such as data modeling, data storage, and data processing. It is written in a clear and concise manner, with plenty of examples and case studies to illustrate the concepts discussed.
Provides a comprehensive overview of the principles and techniques of data warehouse design and implementation. It covers topics such as data modeling, data integration, and data warehousing tools. It is written in a clear and concise manner, with plenty of examples and case studies to illustrate the concepts discussed.
Save
Provides a comprehensive overview of the principles and techniques of SQL for data science. It covers topics such as data querying, data manipulation, and data visualization. It includes case studies and examples from leading organizations to illustrate best practices.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kmuumk/l`ml
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Effort
ساعتين
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ali Karaki
Language
العربية
Good to know
يُعد هذا المسار مفيدًا للمهنيين الذين يبحثون عن تطوير مهارات جديدة في مجال تحليل البيانات
يوفر هذا المسار التعريفي للمستخدمين الجدد في لوحات المعلومات مما يجعله مناسبًا للمبتدئين
يغطي المسار أدوات تحليل البيانات الأساسية مثل Klipfolio و Datapine
مناسب لأولئك الذين لديهم اهتمام بتطوير مهارات في مجال لوحات المعلومات
يتيح المسار للمتعلمين إمكانية إنشاء لوحات معلومات فعالة باستخدام أدوات مختلفة
يوفر المسار أساسًا قويًا لإنشاء لوحات معلومات مخصصة وذات صلة
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