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Muhammad Saad uddin
In this 2-hour long project-based course, you will learn what are widgets, how they can used for data science work, types of widgets, linking multiple widgets, basic dashboards of widgets and creating child widgets.
Register for this course and see more details by visiting:
OpenCourser.com/course/u8lcuu/introduction
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What's inside
Syllabus
Introduction to Widgets for Data Science
Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces a new aspect or approach to a familiar topic
May be useful for learners who want to create dashboards and visualizations
Suits beginners who want to understand the basics of creating interactive dashboards for data analysis
Save this course
Save Introduction to Widgets for Data Science 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 Introduction to Widgets for Data Science with these
activities:
Review 'Python for Data Analysis' by Wes McKinney
Show steps
Provides a solid foundation for the technical concepts and packages used in data analysis with Python.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
-
Read Chapters 1-4
-
Complete the exercises in the chapters
-
Summarize the key concepts in each chapter
Form a study group with classmates
Show steps
Encourages collaboration, improves communication skills, and provides support for learning and understanding the course material.
Show steps
-
Identify potential study group members
-
Establish a regular meeting time and place
-
Discuss course topics, share resources, and work on assignments together
Solve Python programming problems on LeetCode
Show steps
Strengthens Python programming skills and problem-solving abilities in the context of data science.
Browse courses on
Python
Show steps
-
Select problems related to topics covered in the course
-
Solve the problems independently
-
Review solutions and learn from mistakes
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend meetups or conferences related to data science
Show steps
Provides an opportunity to connect with experts, learn about industry trends, and expand professional network.
Show steps
-
Research upcoming meetups or conferences
-
Register for and attend the event
-
Network with other attendees
Write a blog post or article about data science
Show steps
Encourages critical thinking, enhances communication skills, and contributes to the dissemination of knowledge in the field.
Show steps
-
Choose a topic related to data science
-
Research and gather information on the topic
-
Write and edit the blog post or article
Develop a data visualization dashboard using Tableau
Show steps
Strengthens data visualization skills, encourages critical thinking, and allows for effective communication of data insights.
Browse courses on
Data Visualization
Show steps
-
Gather and analyze the data
-
Design and build the dashboard using Tableau
-
Evaluate the dashboard's effectiveness and make improvements
Contribute to an open-source Python library
Show steps
Encourages collaboration, fosters understanding of Python best practices, and contributes to the data science community.
Browse courses on
Python
Show steps
-
Identify an open-source Python library related to data science
-
Find a suitable issue or feature to work on
-
Implement the fix or feature and submit a pull request
Review 'Python for Data Analysis' by Wes McKinney
Show steps
Provides a solid foundation for the technical concepts and packages used in data analysis with Python.
View
Python for Data Analysis: Data Wrangling with...
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-4
- Complete the exercises in the chapters
- Summarize the key concepts in each chapter
Form a study group with classmates
Show steps
Encourages collaboration, improves communication skills, and provides support for learning and understanding the course material.
Show steps
Show steps
Show steps
- Identify potential study group members
- Establish a regular meeting time and place
- Discuss course topics, share resources, and work on assignments together
Solve Python programming problems on LeetCode
Show steps
Strengthens Python programming skills and problem-solving abilities in the context of data science.
Browse courses on
Python
Show steps
Show steps
Show steps
- Select problems related to topics covered in the course
- Solve the problems independently
- Review solutions and learn from mistakes
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend meetups or conferences related to data science
Show steps
Provides an opportunity to connect with experts, learn about industry trends, and expand professional network.
Show steps
Show steps
Show steps
- Research upcoming meetups or conferences
- Register for and attend the event
- Network with other attendees
Write a blog post or article about data science
Show steps
Encourages critical thinking, enhances communication skills, and contributes to the dissemination of knowledge in the field.
Show steps
Show steps
Show steps
- Choose a topic related to data science
- Research and gather information on the topic
- Write and edit the blog post or article
Develop a data visualization dashboard using Tableau
Show steps
Strengthens data visualization skills, encourages critical thinking, and allows for effective communication of data insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and analyze the data
- Design and build the dashboard using Tableau
- Evaluate the dashboard's effectiveness and make improvements
Contribute to an open-source Python library
Show steps
Encourages collaboration, fosters understanding of Python best practices, and contributes to the data science community.
Browse courses on
Python
Show steps
Show steps
Show steps
- Identify an open-source Python library related to data science
- Find a suitable issue or feature to work on
- Implement the fix or feature and submit a pull request
Career center
Learners who complete Introduction to Widgets for Data Science will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use various methods including statistical analysis and machine learning to extract meaningful insights from data. An Introduction to Widgets for Data Science provides a solid foundation for this work. By understanding how widgets can be used in data science work, learners gain valuable skills in data visualization, data exploration, and dashboard creation, all of which are essential for effective data analysis. Additionally, the course covers the basics of linking multiple widgets and creating child widgets, enabling learners to create complex and interactive data dashboards.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. An Introduction to Widgets for Data Science is a valuable resource for this role as it provides a comprehensive overview of how widgets can be used for data science work. Learners gain hands-on experience in using widgets for data visualization, data exploration, and dashboard creation, which are essential skills for successful Data Analysts.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visualizations that communicate data insights effectively. An Introduction to Widgets for Data Science is a valuable resource for this role as it provides a comprehensive overview of how widgets can be used for data visualization. Learners gain hands-on experience in using widgets to create interactive and engaging data visualizations, which are essential skills for successful Data Visualization Specialists.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts provide insights and recommendations to businesses based on data analysis. An Introduction to Widgets for Data Science may be useful for this role as it offers an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect an organization's computer systems and networks from unauthorized access or damage. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data infrastructure and systems. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
UX Researcher
UX Researcher
UX Researchers conduct research to understand the needs and behavior of users. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Chief Data Officer
Chief Data Officer
Chief Data Officers are responsible for overseeing the organization's data strategy and ensuring that data is used effectively. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Data Science Manager
Data Science Manager
Data Science Managers lead and manage teams of data scientists. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
Data Architect
Data Architect
Data Architects design and build data architectures that meet the organization's needs. An Introduction to Widgets for Data Science may be useful for this role as it provides an introduction to using widgets for data science work. By understanding the basics of data visualization, data exploration, and dashboard creation, learners can gain valuable skills that can complement their existing knowledge and skillset.
For more career information including salaries, visit:
OpenCourser.com/course/u8lcuu/introduction
Reading list
We've selected eight 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
Introduction to Widgets for Data Science.
Save
Comprehensive guide to data visualization. It not only covers the technical aspects but also emphasizes the importance of visual storytelling and understanding the audience. Provides a deeper understanding of the concepts introduced in the course.
Save
Collection of essays on data visualization. It covers a wide range of topics, from data storytelling to the ethics of data visualization. Provides valuable insights for aspiring data visualization professionals.
Save
Focuses on data visualization in Python using various libraries, including Matplotlib, Seaborn, and Plotly. Serves as a comprehensive reference for Python-based data visualization.
Provides valuable insights into choosing the right visualization for different types of data. It serves as a great resource to apply data visualization principles learned in the course.
Save
Although this book focuses on ggplot2, it provides a comprehensive overview of data visualization principles and techniques. Useful as a reference for data visualization best practices.
Covers creating interactive data visualizations for the web using JavaScript and D3.js. Useful for learners interested in web-based data visualization.
Provides a practical introduction to data visualization. It covers various types of charts, graphs, and dashboards and how to choose the right visualization for different situations.
Beginner-friendly guide to data visualization. It covers the basics of data visualization and how to choose the right visualization for different types of data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/u8lcuu/introduction
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Effort
2 Hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Muhammad Saad uddin
Language
English
Good to know
Introduces a new aspect or approach to a familiar topic
May be useful for learners who want to create dashboards and visualizations
Suits beginners who want to understand the basics of creating interactive dashboards for data analysis
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