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Building Tables with R
Emilee McWilliams
Emilee McWilliams
Ready to understand table analysis in R? This course will teach you how to code and create important data tables in R.
Read more
Ready to understand table analysis in R? This course will teach you how to code and create important data tables in R.
Read more
Ready to understand table analysis in R? This course will teach you how to code and create important data tables in R.
Quickly understanding variables in a dataset can be time-consuming. In this course, Building Tables in R, you’ll learn to develop tables, proportions, and marginal frequencies in R. First, you’ll explore the table function with two- and three-way tables. Next, you’ll discover proportions for these tables. Finally, you’ll learn how to build a marginal frequency table. When you’re finished with this course, you’ll have the skills and knowledge of developing tables for data in R needed to understand customer data and prepare for advanced analysis.
Register for this course and see more details by visiting:
OpenCourser.com/course/jdbymv/building
What's inside
Syllabus
Course Overview
Creating a Two-way and a Three-way Frequency Table in R
Creating Proportions for a Table in R
Developing Marginal Frequency Table in R
Read more
Syllabus
Course Overview
Creating a Two-way and a Three-way Frequency Table in R
Creating Proportions for a Table in R
Developing Marginal Frequency Table in R
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strengthens an existing foundation for intermediate learners
Helps learners do their work more quickly
Develops core skills for data analysis
Taught by Emilee McWilliams, who is recognized for their work in data analysis
Examines data analysis, which is highly relevant to data analysis
Uses R, which is standard in the data analysis industry
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Activities
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Building Tables with R.
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Career center
Learners who complete Building Tables with R will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use tables to organize and summarize data for use by other professionals. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Business Analyst
Business Analyst
Business Analysts use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Statistician
Statistician
Statisticians use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Data Scientist
Data Scientist
Data Scientists use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Software Engineer
Software Engineer
Software Engineers use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Product Manager
Product Manager
Product Managers use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Project Manager
Project Manager
Project Managers use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Financial Analyst
Financial Analyst
Financial Analysts use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Investment Analyst
Investment Analyst
Investment Analysts use tables to organize and understand complex data. A strong foundation in building tables is an essential skill for this role. This course will help you prepare for this career by teaching you how to organize data into tables for easier analysis.
Market Research Analyst
Market Research Analyst
A strong foundation in building tables can be helpful for Market Research Analysts, who use tables to organize and understand complex data. This course will help you build the foundational skills you need to create different types of tables and work with data more efficiently.
Data Journalist
Data Journalist
A strong foundation in building tables may be useful for Data Journalists, who use tables to organize and understand complex data. This course will help you build the foundational skills you need to create different types of tables and work with data more efficiently.
Technical Writer
Technical Writer
A strong foundation in building tables may be useful for Technical Writers, who often use tables to organize and present complex data. This course will help you build the foundational skills you need to create different types of tables and work with data more efficiently.
For more career information including salaries, visit:
OpenCourser.com/course/jdbymv/building
Reading list
We've selected 14 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
Building Tables with R.
Save
Provides a comprehensive introduction to R, the programming language for data science. It covers all the basics of R, including data import, manipulation, and visualization. The book is especially useful for beginners who want to learn how to use R for data analysis.
More advanced guide to R programming. It covers topics such as data structures, algorithms, and object-oriented programming. The book is especially useful for experienced R programmers who want to learn more about the language.
Save
Collection of recipes for common tasks in R. It useful reference for both beginners and experienced R programmers.
Classic textbook on applied statistics. It covers a wide range of topics, including data exploration, statistical modeling, and hypothesis testing. The book is especially useful for students and researchers who want to learn more about statistical methods.
Comprehensive introduction to statistical data analysis. It covers a wide range of topics, including data collection, data exploration, and statistical inference. The book is especially useful for students and researchers who want to learn more about statistical methods.
Save
Practical guide to data analysis with R. It covers a wide range of topics, including data import, manipulation, and visualization. The book is especially useful for beginners who want to learn how to use R for data analysis.
Hands-on guide to R programming. It covers a wide range of topics, including data import, manipulation, and visualization. The book is especially useful for beginners who want to learn how to use R for data analysis.
Save
Gentle introduction to R programming. It covers all the basics of R, including data import, manipulation, and visualization. The book is especially useful for beginners who want to learn how to use R for data analysis.
Save
Quick introduction to RStudio, the popular IDE for R. It covers all the basics of RStudio, including how to install it, how to use it to edit and run R code, and how to use its built-in tools for data analysis and visualization. The book is especially useful for beginners who want to learn how to use RStudio for data analysis.
Guide to using R for introductory statistics. It covers a wide range of topics, including data exploration, statistical modeling, and hypothesis testing. The book is especially useful for students and researchers who want to learn how to use R for statistical analysis.
Guide to data manipulation with R. It covers a wide range of topics, including data import, cleaning, and transformation. The book is especially useful for data analysts and researchers who want to learn how to use R for data manipulation.
Save
Collection of recipes for creating common types of graphs in R. It useful reference for both beginners and experienced R programmers.
Save
Collection of common mistakes made by R programmers. It useful resource for both beginners and experienced R programmers who want to avoid making these mistakes.
Save
More advanced guide to R programming. It covers topics such as data structures, algorithms, and object-oriented programming. The book is especially useful for experienced R programmers who want to learn more about the language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jdbymv/building
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Time
32 hours
Level
Advanced
Via
Pluralsight
Instructor
Emilee McWilliams
Language
English
Good to know
Strengthens an existing foundation for intermediate learners
Helps learners do their work more quickly
Develops core skills for data analysis
Taught by Emilee McWilliams, who is recognized for their work in data analysis
Examines data analysis, which is highly relevant to data analysis
Uses R, which is standard in the data analysis industry
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