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Importing Data into R

In this 1-hour long project-based course, you will learn how to read all sorts of data and import them into R, including CSV files, Excel files, data from other statistical software, the web and from relational databases.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Project Overview

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Know what's good

, what to watch for

, and possible dealbreakers

Addresses the need to import data of all sorts into R, which is a key skill for data science

Part of a specialization on data science in R, so it also assumes you have strong foundation in R

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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 Importing Data into R with these activities:

Review basic statistics

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Ensure that you have a strong foundation in statistics before starting this course

Browse courses on Statistics

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Review your notes from a previous statistics course
Take a practice quiz or exam to test your understanding

Follow a tutorial on a specific data import method

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Enhance your understanding of a specific data import method through a guided tutorial

Browse courses on Data Import

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Identify a specific data import method you want to learn
Find a reputable tutorial on the method
Follow the tutorial step-by-step

Solve practice problems on data import

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Practice importing data into R to improve your proficiency

Browse courses on Data Import

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Find a set of practice problems online or in a textbook
Solve the problems step-by-step
Check your answers against the provided solutions

Five other activities

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Show all eight activities

Participate in a study group on data import

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Collaborate with peers to discuss and solve data import challenges

Browse courses on Data Import

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Find a study group or create your own
Meet with your group regularly to discuss data import topics
Work together to solve problems and answer questions

Write a blog post on data import techniques

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Reinforce your understanding of data import by explaining it to others

Browse courses on Data Import

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Choose a specific data import technique to focus on
Research the technique thoroughly
Write a clear and concise blog post explaining the technique

Attend a workshop on advanced data import techniques

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Gain exposure to cutting-edge data import techniques through a workshop

Browse courses on Data Import

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Find a reputable workshop on advanced data import techniques
Attend the workshop and actively participate
Apply the techniques learned in your own work

Develop a data import pipeline for a real-world dataset

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Build a practical data import pipeline to solidify your understanding and skills

Browse courses on Data Import

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Identify a real-world dataset that you want to import into R
Design and implement a data import pipeline to bring the dataset into R
Validate the imported data to ensure accuracy and completeness

Contribute to an open-source data import library

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Deepen your understanding by contributing to a real-world data import project

Browse courses on Data Import

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Identify an open-source data import library to contribute to
Read the documentation and get familiar with the codebase
Identify an area where you can make a contribution

Career center

Learners who complete Importing Data into R will develop knowledge and skills that may be useful to these careers:

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of databases. They use their skills in data management, database design, and SQL to help businesses manage and analyze their data. This course can help you develop the skills needed to be a successful Database Administrator, including how to import data from a variety of sources, how to design and build databases, and how to manage and maintain databases.

See salaries and explore the career path for Database Administrator

Data Engineer

Data Engineers design, build, and maintain data systems. They use their skills in data management, data architecture, and software engineering to help businesses manage and analyze their data. This course can help you develop the skills needed to be a successful Data Engineer, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to design and build data systems.

See salaries and explore the career path for Data Engineer

Statistician

Statisticians collect, analyze, interpret, and present data. They use their skills in probability, statistics, and data analysis to help businesses and organizations make better decisions. This course can help you develop the skills needed to be a successful Statistician, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software to analyze data.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists are responsible for developing and implementing data-driven solutions to business problems. They use their skills in data analysis, machine learning, and artificial intelligence to help businesses make better decisions. This course can help you develop the skills needed to be a successful Data Scientist, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software and machine learning algorithms to analyze data.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts help businesses identify and solve problems using data. They use their skills in data analysis, process improvement, and business intelligence to help businesses make better decisions. This course can help you develop the skills needed to be a successful Business Analyst, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software and business intelligence tools to analyze data.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts help businesses solve problems and make better decisions using data. They collect, clean, and analyze data to identify trends and patterns. This course can help you develop the skills needed to be a successful Data Analyst, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software to analyze data.

See salaries and explore the career path for Data Analyst

Market Researcher

Market Researchers collect and analyze data about consumers and markets. They use their skills in data analysis, consumer behavior, and marketing to help businesses make better decisions about their products and services. This course can help you develop the skills needed to be a successful Market Researcher, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software and market research tools to analyze data.

See salaries and explore the career path for Market Researcher

Information Technology Specialist

Information Technology Specialists provide technical support to businesses and organizations. They use their skills in computer hardware, software, and networking to help businesses solve technical problems and maintain their IT systems. This course can help you develop the skills needed to be a successful Information Technology Specialist, including how to import data from a variety of sources, how to clean and prepare data for analysis, and how to use statistical software and IT tools to analyze data.

See salaries and explore the career path for Information Technology Specialist

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to help businesses solve problems and improve their operations. They use their skills in operations research, data analysis, and optimization to help businesses make better decisions. This course may help you develop the skills needed to be a successful Operations Research Analyst, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Operations Research Analyst

Computer Programmer

Computer Programmers write and maintain computer code. They use their skills in programming, software design, and computer science to help businesses solve problems and improve their operations. This course may help you develop the skills needed to be a successful Computer Programmer, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Computer Programmer

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their skills in programming, software design, and computer science to help businesses solve problems and improve their operations. This course may help you develop the skills needed to be a successful Software Engineer, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design, develop, and maintain websites. They use their skills in HTML, CSS, JavaScript, and web design to help businesses create and maintain their online presence. This course may help you develop the skills needed to be a successful Web Developer, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Web Developer

Financial Analyst

Financial Analysts use financial data to help businesses make investment decisions. They use their skills in financial analysis, modeling, and forecasting to help businesses make better decisions about their investments. This course may help you develop the skills needed to be a successful Financial Analyst, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They use their skills in actuarial science, risk management, and financial analysis to help businesses and individuals make better decisions about their financial future. This course may help you develop the skills needed to be a successful Actuary, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Actuary

Systems Analyst

Systems Analysts design, develop, and implement computer systems. They use their skills in systems analysis, software design, and business process improvement to help businesses solve problems and improve their operations. This course may help you develop the skills needed to be a successful Systems Analyst, including how to import data from a variety of sources and how to use statistical software to analyze data.

See salaries and explore the career path for Systems Analyst

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 Importing Data into R.

The R Book

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Comprehensive guide to the R programming language. It covers all aspects of the language, from basic data types and operators to advanced topics such as object-oriented programming and statistical modeling. It valuable reference for anyone who wants to learn R.

The Elements of Statistical Learning

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Is an advanced introduction to statistical learning. It covers topics such as supervised learning, unsupervised learning, and statistical modeling. It valuable resource for anyone who wants to learn about statistical learning at a more advanced level.

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Hardcover

$$$

The Elements of Statistical Learning: Data Mining,...

Kindle Edition

$$$

R for Data Science

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Practical guide to using R for data science. It covers topics such as data import and export, data cleaning, data visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use R for data science.

Importing Data into R

Two deals to help you save

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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