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Emmanuel Segui
Learn how to create Publication-Ready Tables in R for descriptive statistics, contingency tables, correlation tables, model summary tables and survival probabilities tables
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OpenCourser.com/course/g8z80i/publication
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What's inside
Syllabus
Project Overview
In this 1-hour long project-based course, you will learn how to create publication-ready tables for descriptive, inferential and time-to-event data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Deepens knowledge of statistical methods in R
Applicable for learners interested in statistics and data analysis
Taught by instructors with expertise in statistics
Suitable for learners at the intermediate level
May require additional knowledge and skills in R programming
Hands-on learning
Save this course
Save Publication-Ready Tables in 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 Publication-Ready Tables in R with these
activities:
Review Freedman, Pisani, and Purves' Statistics, 5th Edition
Show steps
Summarizing the key concepts in this widely-used statistics textbook will introduce you to core concepts covered in this course.
View
Statistics, 4th Edition
on Amazon
Show steps
-
Read chapters 1-3
-
Summarize the main points of each chapter
-
Identify the key terms and concepts
Review Tables with a Peer
Show steps
Reviewing your tables with a peer will help you identify errors and improve clarity.
Browse courses on
Descriptive Statistics
Show steps
-
Create a table
-
Review the table with a peer
-
Make changes to the table based on feedback
Tutorial on Creating Contingency Tables in R
Show steps
Following this tutorial will teach you how to create contingency tables, which are useful for analyzing categorical data.
Browse courses on
Contingency Tables
Show steps
-
Watch the tutorial
-
Create a contingency table in R
-
Interpret the results
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Descriptive Statistics Summary Table
Show steps
Creating a summary table of descriptive statistics will help you practice summarizing and interpreting data.
Browse courses on
Descriptive Statistics
Show steps
-
Calculate the mean, median, and mode of a dataset
-
Create a table summarizing the statistics
-
Interpret the results
Create a Correlation Table
Show steps
Creating a correlation table will help you understand the relationships between variables.
Browse courses on
Correlation Analysis
Show steps
-
Calculate the correlation coefficients between variables
-
Create a table summarizing the correlations
-
Interpret the results
Present a Model Summary Table
Show steps
Presenting a model summary table will help you communicate the results of your statistical analysis.
Browse courses on
Regression Analysis
Show steps
-
Run a statistical model
-
Create a model summary table
-
Present the table to an audience
Calculate Survival Probabilities
Show steps
Calculating survival probabilities will help you understand how the probability of an event changes over time.
Browse courses on
Survival Analysis
Show steps
-
Fit a survival model
-
Calculate the survival probabilities
-
Plot the survival curve
Review Freedman, Pisani, and Purves' Statistics, 5th Edition
Show steps
Summarizing the key concepts in this widely-used statistics textbook will introduce you to core concepts covered in this course.
View
Statistics, 4th Edition
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Summarize the main points of each chapter
- Identify the key terms and concepts
Review Tables with a Peer
Show steps
Reviewing your tables with a peer will help you identify errors and improve clarity.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Create a table
- Review the table with a peer
- Make changes to the table based on feedback
Tutorial on Creating Contingency Tables in R
Show steps
Following this tutorial will teach you how to create contingency tables, which are useful for analyzing categorical data.
Browse courses on
Contingency Tables
Show steps
Show steps
Show steps
- Watch the tutorial
- Create a contingency table in R
- Interpret the results
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Descriptive Statistics Summary Table
Show steps
Creating a summary table of descriptive statistics will help you practice summarizing and interpreting data.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Calculate the mean, median, and mode of a dataset
- Create a table summarizing the statistics
- Interpret the results
Create a Correlation Table
Show steps
Creating a correlation table will help you understand the relationships between variables.
Browse courses on
Correlation Analysis
Show steps
Show steps
Show steps
- Calculate the correlation coefficients between variables
- Create a table summarizing the correlations
- Interpret the results
Present a Model Summary Table
Show steps
Presenting a model summary table will help you communicate the results of your statistical analysis.
Browse courses on
Regression Analysis
Show steps
Show steps
Show steps
- Run a statistical model
- Create a model summary table
- Present the table to an audience
Calculate Survival Probabilities
Show steps
Calculating survival probabilities will help you understand how the probability of an event changes over time.
Browse courses on
Survival Analysis
Show steps
Show steps
Show steps
- Fit a survival model
- Calculate the survival probabilities
- Plot the survival curve
Career center
Learners who complete Publication-Ready Tables in R will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This course helps build a foundation in the fundamentals of statistics, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Statisticians, as they often need to communicate their findings to researchers, policymakers, and the general public in a clear and concise manner.
Data Analyst
Data Analyst
Data Analysts take raw data and translate it into understandable formats that can be used to make informed decisions. This course helps build a foundation in the fundamentals of data analysis, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Data Analysts, as they often need to communicate their findings to stakeholders in a clear and concise manner.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes of disease and other health problems in populations. This course helps build a foundation in the fundamentals of epidemiology, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Epidemiologists, as they often need to communicate their findings to public health officials and researchers in a clear and concise manner.
Biostatistician
Biostatistician
Biostatisticians use statistical methods to solve problems in the field of medicine and public health. This course helps build a foundation in the fundamentals of biostatistics, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Biostatisticians, as they often need to communicate their findings to medical professionals and researchers in a clear and concise manner.
Social Science Researcher
Social Science Researcher
Social Science Researchers study human behavior and society. This course helps build a foundation in the fundamentals of social science research, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Social Science Researchers, as they often need to communicate their findings to other researchers, policymakers, and the general public in a clear and concise manner.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test and evaluate products and services to ensure that they meet quality standards. This course helps build a foundation in the fundamentals of quality assurance, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Quality Assurance Analysts, as they often need to communicate their findings to product development teams and stakeholders in a clear and concise manner.
Public Health Analyst
Public Health Analyst
Public Health Analysts use data to assess and improve the health of populations. This course helps build a foundation in the fundamentals of public health, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Public Health Analysts, as they often need to communicate their findings to policymakers and public health professionals in a clear and concise manner.
Health Economist
Health Economist
Health Economists use economic principles to analyze health care systems and policies. This course helps build a foundation in the fundamentals of health economics, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Health Economists, as they often need to communicate their findings to policymakers and researchers in a clear and concise manner.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical methods to solve business problems. This course helps build a foundation in the fundamentals of operations research, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Operations Research Analysts, as they often need to communicate their findings to business leaders and stakeholders in a clear and concise manner.
Market Researcher
Market Researcher
Market Researchers conduct surveys and other research to understand consumer behavior. This course helps build a foundation in the fundamentals of market research, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Market Researchers, as they often need to communicate their findings to marketing professionals and business leaders in a clear and concise manner.
Research Scientist
Research Scientist
Research Scientists conduct research to advance scientific knowledge. This course helps build a foundation in the fundamentals of scientific research, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Research Scientists, as they often need to communicate their findings to other researchers, policymakers, and the general public in a clear and concise manner.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk. This course helps build a foundation in the fundamentals of actuarial science, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills are essential for Actuaries, as they often need to communicate their findings to insurance companies, pension funds, and other financial institutions in a clear and concise manner.
Data Engineer
Data Engineer
Data Engineers design and build systems to store and process data. This course helps build a foundation in the fundamentals of data engineering, including creating publication-ready tables for descriptive statistics, contingency tables, correlation tables, model summary tables, and survival probabilities tables. These skills may be useful for Data Engineers, as they often need to communicate their findings to data scientists, analysts, and other stakeholders in a clear and concise manner.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. This course may be useful for Software Engineers, as they often need to create and interpret tables to document their work, track progress, and communicate with other team members.
Writer
Writer
Writers create content for a variety of purposes, including journalism, marketing, and technical writing. This course may be useful for Writers, as they often need to create and interpret tables to organize and present data in a clear and concise manner.
For more career information including salaries, visit:
OpenCourser.com/course/g8z80i/publication
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
Publication-Ready Tables in R.
Is an essential reference for students and professionals who need to create tables in accordance with APA style. With a focus on clarity and conciseness, it is the definitive resource for writing in the social and behavioral sciences.
Comprehensive guide to research writing. It provides guidance on planning, writing, and revising research papers. The authors promote an ethical, practical approach to research and writing.
Practical guide to writing, publishing, and presenting scientific papers. It provides clear guidelines and useful advice for researchers in the health sciences.
Offers practical advice on communicating research findings to a non-specialist audience. This valuable resource for preparing and delivering presentations.
Save
Comprehensive guide to science writing. The author demonstrates how to prepare and revise scientific papers clearly and effectively.
Provides a comprehensive overview of experimental design and analysis. explains how to design and analyze experiments effectively.
Provides a clear introduction to multivariate statistical methods. explains how to apply multivariate methods to solve real-world problems.
This comprehensive reference provides an overview of research design principles and methods. It includes chapters on research ethics, quantitative and qualitative research methods, and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/g8z80i/publication
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Emmanuel Segui
Language
English
Good to know
Deepens knowledge of statistical methods in R
Applicable for learners interested in statistics and data analysis
Taught by instructors with expertise in statistics
Suitable for learners at the intermediate level
May require additional knowledge and skills in R programming
Hands-on learning
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