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Okan Bulut
Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.
Read more
Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.
Read more
Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.
Have you ever thought about the format of data you are dealing with? Is it long or wide? Which format is better for your analysis? In this course, Reshaping Data with R, you will gain the ability to reshape and aggregate data using the R programming language. First, you will learn how to transform wide-format data into long-format data. Next, you will discover how to reshape data from long format to wide format. Finally, you will explore how to aggregate data with and without group variables. When you are finished with this course, you will have the skills and knowledge of reshaping data needed to manage your data more effectively for statistical analysis and data visualization. Software required: R*
Register for this course and see more details by visiting:
OpenCourser.com/course/hhcagz/reshaping
What's inside
Syllabus
Course Overview
Introduction
Reshaping Wide Data to Long Data
Reshaping Long Data to Wide Data
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Syllabus
Course Overview
Introduction
Reshaping Wide Data to Long Data
Reshaping Long Data to Wide Data
Read more
Reshaping Data Based on Aggregated Values
Course Recap
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops foundational skills by teaching how to reshape data into wide and long formats
Taught by Okan Bulut, an expert in data management and organization
Relevant for statisticians and data visualization practitioners who need to reshape data for analysis
Requires learners to come in with some understanding of data management concepts
Focuses on the R programming language, which may not be suitable for learners who are unfamiliar with it
Does not provide hands-on exercises or interactive materials
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Save Reshaping Data with R 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 Reshaping Data with R with these
activities:
Reshaping Data with R - Tutorial
Show steps
Complete a tutorial on reshaping data with R. This tutorial will help you get up to speed with the R functions you will need in this course
Show steps
-
Find a tutorial on reshaping data with R
-
Follow the tutorial and complete the exercises
Practice Data Reshaping with R
Show steps
Practice reshaping data with R. This will help you reinforce concepts covered in the course and strengthen your skills
Show steps
-
Find a dataset to work with
-
Reshape the data using R functions
-
Verify that the data was reshaped correctly
Study Group - Reshaping Data
Show steps
Join a study group to review the concepts and practice reshaping data with R. This will provide you with an opportunity to share knowledge and learn from others.
Show steps
-
Find a study group or form one with classmates
-
Meet regularly to discuss course material and work on practice problems
One other activity
Expand to see all activities and additional details
Show all four activities
Advanced R, Second Edition
Show steps
Read this book to supplement your learning in this course. It provides a comprehensive overview of R programming, including advanced techniques for data reshaping.
View
R for Data Science: Import, Tidy, Transform,...
on Amazon
Show steps
-
Read the book's chapters on data reshaping
-
Complete the exercises at the end of each chapter
Reshaping Data with R - Tutorial
Show steps
Complete a tutorial on reshaping data with R. This tutorial will help you get up to speed with the R functions you will need in this course
Show steps
Show steps
Show steps
- Find a tutorial on reshaping data with R
- Follow the tutorial and complete the exercises
Practice Data Reshaping with R
Show steps
Practice reshaping data with R. This will help you reinforce concepts covered in the course and strengthen your skills
Show steps
Show steps
Show steps
- Find a dataset to work with
- Reshape the data using R functions
- Verify that the data was reshaped correctly
Study Group - Reshaping Data
Show steps
Join a study group to review the concepts and practice reshaping data with R. This will provide you with an opportunity to share knowledge and learn from others.
Show steps
Show steps
Show steps
- Find a study group or form one with classmates
- Meet regularly to discuss course material and work on practice problems
One other activity
Expand to see all activities and additional details
Show all four activities
Advanced R, Second Edition
Show steps
Read this book to supplement your learning in this course. It provides a comprehensive overview of R programming, including advanced techniques for data reshaping.
View
R for Data Science: Import, Tidy, Transform,...
on Amazon
Show steps
Show steps
Show steps
- Read the book's chapters on data reshaping
- Complete the exercises at the end of each chapter
Career center
Learners who complete Reshaping Data with R will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of data analysis tools and methodologies to interpret data and draw conclusions, which can help businesses make better decisions. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, and machine learning to build models that can predict future outcomes. This course can help you build a foundation in data analysis, which will help you develop the skills you need to perform your job. You will learn how to reshape data into the format that is most appropriate for your analysis.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers apply their knowledge of machine learning algorithms and techniques to develop and deploy machine learning models. This course can help you build a foundation in data analysis, which is a critical skill for this role. You will learn how to reshape data into the format that is most appropriate for your model.
Data Visualization Engineer
Data Visualization Engineer
Data Visualization Engineers use their knowledge of data visualization tools and techniques to create visualizations that communicate data effectively. This course can help you build a foundation in data analysis, which will help you develop the skills you need to perform your job. You will learn how to reshape data into the format that is most appropriate for your visualization.
Statistician
Statistician
Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course can help you provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your analysis.
Business Analyst
Business Analyst
Business Analysts use their knowledge of business analysis techniques to identify and solve business problems. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.
Database Administrator
Database Administrator
Database Administrators use their knowledge of database administration tools and techniques to maintain and optimize databases. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your database.
Data Architect
Data Architect
Data Architects use their knowledge of data architecture principles and practices to design and implement data management solutions. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your solution.
Data Engineer
Data Engineer
Data Engineers use their knowledge of data engineering tools and techniques to build and maintain data pipelines. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your pipeline.
Market Researcher
Market Researcher
Market Researchers use their knowledge of market research techniques to collect and analyze data about markets. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.
Financial Analyst
Financial Analyst
Financial Analysts use their knowledge of financial analysis techniques to evaluate and make recommendations on investment opportunities. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your analysis.
Data Journalist
Data Journalist
Data Journalists use their knowledge of data journalism techniques to tell stories with data. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their knowledge of operations research techniques to improve the efficiency and effectiveness of operations. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your analysis.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their knowledge of quantitative analysis techniques to develop and implement quantitative models. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your model.
Actuary
Actuary
Actuaries use their knowledge of actuarial science to assess and manage risk. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your analysis.
For more career information including salaries, visit:
OpenCourser.com/course/hhcagz/reshaping
Reading list
We've selected 13 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
Reshaping Data with R.
Provides a comprehensive guide to data reshaping in R, and it is an excellent resource for learners who want to learn more about this topic.
Provides the official documentation for the R programming language, and it includes a chapter on data reshaping.
Save
Provides a comprehensive guide to advanced R programming, including a chapter on data reshaping.
Provides a comprehensive overview of data manipulation techniques in R, including reshaping data, which is the focus of this course.
Provides a comprehensive guide to data analysis using R, and it includes a chapter on data reshaping.
Save
Comprehensive guide to data science using R, and it includes a chapter on data reshaping.
Provides a comprehensive guide to data science using R, and it includes a chapter on data reshaping.
Save
Provides a comprehensive guide to data manipulation in R, including reshaping data.
Save
Provides a collection of recipes for common data analysis tasks in R, including reshaping data.
Provides a comprehensive guide to R programming, including a chapter on data reshaping. It good resource for learners who want to learn more about the fundamentals of R programming.
Save
Provides a comprehensive guide to R programming, including a chapter on data reshaping. It good resource for learners who want to learn more about the fundamentals of R programming.
Save
Provides a gentle introduction to R programming, and it includes a chapter on data reshaping.
Provides a concise reference card for R programming, and it includes a section on data reshaping.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hhcagz/reshaping
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Time
119 hours
Level
Intermediate
Via
Pluralsight
Instructor
Okan Bulut
Language
English
Good to know
Develops foundational skills by teaching how to reshape data into wide and long formats
Taught by Okan Bulut, an expert in data management and organization
Relevant for statisticians and data visualization practitioners who need to reshape data for analysis
Requires learners to come in with some understanding of data management concepts
Focuses on the R programming language, which may not be suitable for learners who are unfamiliar with it
Does not provide hands-on exercises or interactive materials
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