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Pinal Dave
In this course, Grouping Data into Bins and Categories, you'll
learn the techniques of data binning, bin management, and data
visualization to analyze large data sets and make data-driven
decisions.
Read more
In this course, Grouping Data into Bins and Categories, you'll learn the techniques of data binning, bin management, and data visualization to analyze large data sets and make data-driven decisions.
Read more
In this course, Grouping Data into Bins and Categories, you'll learn the techniques of data binning, bin management, and data visualization to analyze large data sets and make data-driven decisions.
Data analysis can be tough, especially when dealing with large amounts of information. One way to make it easier is by grouping data into bins and visualizing it. In this course, Grouping Data into Bins and Categories, you’ll gain the ability to organize, categorize, and visualize your data effectively. First, you’ll explore the idea of data binning which is about grouping your data into categories, making it easier to analyze. Next, you’ll discover how to add these categories, or bins, to a data table making your data even more organized. Finally, you’ll learn how to visualize your data which helps you spot patterns and trends that might not be obvious by looking at the numbers. When you’re finished with this course, you’ll have the skills and knowledge of data binning and visualization needed to make sense of large amounts of data and use it to make informed decisions.
Register for this course and see more details by visiting:
OpenCourser.com/course/emulbv/grouping
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What's inside
Syllabus
Course Overview
Creating and Categorizing Bins
Integrating Bins into DataFrame
Visualizing Binned Data
Read more
Syllabus
Course Overview
Creating and Categorizing Bins
Integrating Bins into DataFrame
Visualizing Binned Data
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps learners categorize data into bins to make data analysis easier
Builds learners' foundational skills in data visualization
Suitable for learners who want to explore and understand the fundamentals of data binning and visualization
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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 Grouping Data into Bins and Categories with these
activities:
Review data analysis techniques
Show steps
Reviewing these techniques will improve performance on course assignments
Browse courses on
Data Analysis
Show steps
-
Gather course materials
-
Review previous coursework
-
Identify areas needing additional review
-
Work through practice problems without help
Organize and review course materials
Show steps
Engaging with materials ahead of the course can lay a solid foundation
Show steps
-
Gather and sort course materials
-
Create a system for organizing the materials
-
Review the materials regularly to solidify learning
Find a data scientist mentor
Show steps
Mentorship provides personalized learning opportunities
Browse courses on
Data Analysis
Show steps
-
Identify potential mentors in the field
-
Reach out to these mentors and introduce yourself
-
Establish a professional connection
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data visualization workshop
Show steps
Attending workshops provides networking with professionals
Browse courses on
Data Visualization
Show steps
-
Search for data visualization workshops in the area
-
Register for a workshop
-
Attend the workshop
-
Participate in discussions and activities
-
Follow up with workshop organizers or attendees
Complete Tableau tutorials
Show steps
Tableau is a tool used in this course, so familiarizing yourself with will be helpful
Browse courses on
Tableau
Show steps
-
Search for Tableau tutorials
-
Complete tutorials covering basic and advanced topics
-
Attempt to apply techniques covered in tutorials to your own data
Solve data analysis practice problems
Show steps
Completing exercises primarily strengthens critical thinking and analytical skills
Browse courses on
Data Analysis
Show steps
-
Identify websites or books with practice problems
-
Work through problems without help
-
Check and verify answers
-
Repeat steps until comfortable with material
Contribute to an open-source data visualization project
Show steps
Hands-on experience contributing to a real-world project
Browse courses on
Data Visualization
Show steps
-
Identify open-source data visualization projects
-
Review the project's documentation
-
Identify an area to contribute
-
Make a pull request with your contribution
Write a blog post about data visualization
Show steps
Creating content helps reinforce learning while exploring knowledge gaps
Browse courses on
Data Visualization
Show steps
-
Choose a topic related to data visualization
-
Research and gather information on the topic
-
Write the blog post
-
Edit and proofread the post
-
Publish the blog post on a platform
Review data analysis techniques
Show steps
Reviewing these techniques will improve performance on course assignments
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Gather course materials
- Review previous coursework
- Identify areas needing additional review
- Work through practice problems without help
Organize and review course materials
Show steps
Engaging with materials ahead of the course can lay a solid foundation
Show steps
Show steps
Show steps
- Gather and sort course materials
- Create a system for organizing the materials
- Review the materials regularly to solidify learning
Find a data scientist mentor
Show steps
Mentorship provides personalized learning opportunities
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify potential mentors in the field
- Reach out to these mentors and introduce yourself
- Establish a professional connection
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data visualization workshop
Show steps
Attending workshops provides networking with professionals
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Search for data visualization workshops in the area
- Register for a workshop
- Attend the workshop
- Participate in discussions and activities
- Follow up with workshop organizers or attendees
Complete Tableau tutorials
Show steps
Tableau is a tool used in this course, so familiarizing yourself with will be helpful
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Search for Tableau tutorials
- Complete tutorials covering basic and advanced topics
- Attempt to apply techniques covered in tutorials to your own data
Solve data analysis practice problems
Show steps
Completing exercises primarily strengthens critical thinking and analytical skills
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify websites or books with practice problems
- Work through problems without help
- Check and verify answers
- Repeat steps until comfortable with material
Contribute to an open-source data visualization project
Show steps
Hands-on experience contributing to a real-world project
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify open-source data visualization projects
- Review the project's documentation
- Identify an area to contribute
- Make a pull request with your contribution
Write a blog post about data visualization
Show steps
Creating content helps reinforce learning while exploring knowledge gaps
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a topic related to data visualization
- Research and gather information on the topic
- Write the blog post
- Edit and proofread the post
- Publish the blog post on a platform
Career center
Learners who complete Grouping Data into Bins and Categories will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are in great demand as companies seek to make sense of the vast amounts of data they collect. This course will help you develop the skills you need to become a successful Data Analyst, including data binning, bin management, and data visualization. With these skills, you'll be able to transform raw data into valuable insights that can help businesses make better decisions.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. This course will help you build a solid foundation in data binning, bin management, and data visualization, which are essential skills for any Data Scientist. With these skills, you'll be able to contribute to the development of innovative solutions that can help businesses improve their bottom line.
Business Analyst
Business Analyst
Business Analysts help organizations understand their data and make better decisions. This course will teach you the skills you need to become a successful Business Analyst, including data binning, bin management, and data visualization. With these skills, you'll be able to help organizations identify opportunities, solve problems, and make informed decisions.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to help businesses understand their customers and make better marketing decisions. This course will teach you the skills you need to become a successful Market Researcher, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses conduct effective market research campaigns and make informed marketing decisions.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed financial decisions. This course will teach you the skills you need to become a successful Financial Analyst, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses analyze financial data, make investment recommendations, and develop financial plans.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to help businesses improve their operations. This course will teach you the skills you need to become a successful Operations Research Analyst, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses optimize their processes, improve efficiency, and reduce costs.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course will teach you the skills you need to become a successful Statistician, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses design and conduct statistical studies, analyze data, and draw valid conclusions.
Actuary
Actuary
Actuaries use data to assess risk and make financial decisions. This course will teach you the skills you need to become a successful Actuary, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses evaluate risk, develop insurance policies, and make sound financial decisions.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. This course will teach you the skills you need to become a successful Data Engineer, including data binning, bin management, and data visualization. With these skills, you'll be able to help businesses design and implement data storage and processing systems that are efficient, reliable, and scalable.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for developing software applications that are able to handle large amounts of data.
Web Developer
Web Developer
Web Developers design and develop websites. This course may be useful for Web Developers who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for developing websites that are able to handle large amounts of data and present it in a user-friendly way.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course may be useful for Database Administrators who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for optimizing database performance and ensuring data integrity.
Information Security Analyst
Information Security Analyst
Information Security Analysts are responsible for protecting information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful for Information Security Analysts who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for detecting and preventing security breaches.
Computer Systems Analyst
Computer Systems Analyst
Computer Systems Analysts design, develop, and implement computer systems. This course may be useful for Computer Systems Analysts who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for developing computer systems that are able to handle large amounts of data and provide valuable insights.
Network Administrator
Network Administrator
Network Administrators are responsible for managing and maintaining computer networks. This course may be useful for Network Administrators who want to learn more about data binning, bin management, and data visualization. These skills can be helpful for optimizing network performance and ensuring network security.
For more career information including salaries, visit:
OpenCourser.com/course/emulbv/grouping
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
Grouping Data into Bins and Categories.
Provides a comprehensive overview of data visualization techniques, making it a valuable resource for anyone looking to improve their data analysis skills. It covers a wide range of topics, from the basics of data visualization to more advanced techniques like interactive visualization and data storytelling.
Provides a comprehensive introduction to data science, covering a wide range of topics from data cleaning and preparation to machine learning and data visualization.
Provides a comprehensive overview of the field of machine learning. It covers a wide range of topics from supervised learning to unsupervised learning. It valuable resource for anyone interested in learning more about the fundamentals of machine learning.
Save
Provides a comprehensive overview of deep learning, covering a wide range of topics from neural networks to deep learning applications.
Provides a comprehensive overview of the field of pattern recognition and machine learning. It covers a wide range of topics from supervised learning to unsupervised learning. It valuable resource for anyone interested in learning more about the fundamentals of pattern recognition and machine learning.
Save
Provides a comprehensive overview of data mining, covering a wide range of topics from data preprocessing to data visualization.
Provides a comprehensive overview of statistical learning with sparsity, covering a wide range of topics from penalized regression to compressed sensing.
Provides a comprehensive overview of Bayesian data analysis, covering a wide range of topics from Bayesian inference to Bayesian model selection.
Provides a comprehensive introduction to Python for data analysis. It covers a wide range of topics from data manipulation to data visualization. It valuable resource for anyone interested in learning more about how to use Python for data analysis.
Save
Provides a practical introduction to data visualization. It covers a wide range of topics from choosing the right chart type to designing effective visualizations. It valuable resource for anyone interested in learning more about how to effectively visualize data.
Provides a comprehensive overview of causal inference in statistics, covering a wide range of topics from causal graphs to causal effects.
Provides a comprehensive overview of statistical learning, covering a wide range of topics from linear regression to support vector machines.
Provides a comprehensive introduction to machine learning with Python. It covers a wide range of topics from supervised learning to unsupervised learning. It valuable resource for anyone interested in learning more about how to use Python for machine learning.
Provides a comprehensive introduction to reinforcement learning. It covers a wide range of topics from reinforcement learning algorithms to applications of reinforcement learning. It valuable resource for anyone interested in learning more about reinforcement learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective, covering a wide range of topics from Bayesian inference to Gaussian processes.
Provides a comprehensive introduction to deep learning with Python. It covers a wide range of topics from neural networks to deep learning models. It valuable resource for anyone interested in learning more about how to use Python for deep learning.
Provides a comprehensive overview of information theory, inference, and learning algorithms, covering a wide range of topics from entropy to Bayesian networks.
Provides a comprehensive overview of algorithmic learning theory, covering a wide range of topics from PAC learning to boosting.
Provides a comprehensive overview of the foundations of machine learning, covering a wide range of topics from optimization to statistical learning theory.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/emulbv/grouping
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Time
53 hours
Level
Introductory
Via
Pluralsight
Instructor
Pinal Dave
Language
English
Good to know
Helps learners categorize data into bins to make data analysis easier
Builds learners' foundational skills in data visualization
Suitable for learners who want to explore and understand the fundamentals of data binning and visualization
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