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Programming R Vectors and Factors

R is a popular programming language for statistical computing. In this course, Programming R Vectors and Factors, you will gain foundational knowledge of all data types and structures within R. First, you will learn some of the most commonly used data types and data structures used in R. Then, we will explore all of the data types and structures in R. Next, we will dive deeper into the specific data structures of vectors and factors. Finally, we will discover how to program and work with vectors and factors including accessing, adding and removing elements, using and understanding coercion and performing common operations on vectors and factors.

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Develops foundational knowledge of data types and structures within R, strengthening an existing foundation for intermediate learners

Taught by Justin Flett, who is recognized for their work in R programming

Suitable for learners who have some experience with programming

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Career center

Learners who complete Programming R Vectors and Factors will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data. They use their findings to help businesses make informed decisions. This course would be a valuable addition to a Data Scientist's skillset. It would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge would be essential for Data Scientists who need to work with data in R.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use mathematical and statistical methods to collect, analyze, and interpret data. They work in a variety of fields, including healthcare, finance, and government. This course would be a valuable resource for Statisticians who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge would be essential for Statisticians who need to work with data in R.

See salaries and explore the career path for Statistician

Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course would be helpful for Actuaries who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge would be helpful for Actuaries who need to work with data in R.

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Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They use their findings to help businesses make informed decisions. This course would be a valuable addition to a Data Analyst's skillset. It would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge would be essential for Data Analysts who need to work with data in R.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use financial data to make investment recommendations. They work in a variety of industries, including banking, investment management, and insurance. This course may be helpful for Financial Analysts who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Financial Analysts who need to work with data in R.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers collect and analyze data to understand consumer behavior. They use their findings to help businesses make informed decisions about products and marketing campaigns. This course may be helpful for Market Researchers who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Market Researchers who need to work with data in R.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts use data to identify and solve business problems. They work in a variety of industries, including consulting, finance, and healthcare. This course may be helpful for Business Analysts who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Business Analysts who need to work with data in R.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work in a variety of industries, including technology, finance, and healthcare. This course may be helpful for Software Engineers who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Software Engineers who need to work with data in R.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers build and maintain data pipelines. They work in a variety of industries, including technology, finance, and healthcare. This course may be helpful for Data Engineers who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Data Engineers who need to work with data in R.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze financial data. They work in a variety of industries, including investment management, banking, and insurance. This course may be helpful for Quantitative Analysts who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Quantitative Analysts who need to work with data in R.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk Analysts assess risk and uncertainty. They work in a variety of industries, including finance, insurance, and healthcare. This course may be helpful for Risk Analysts who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Risk Analysts who need to work with data in R.

See salaries and explore the career path for Risk Analyst

Economist

Economists study the production, distribution, and consumption of goods and services. They use their knowledge to make recommendations on economic policy. This course may be helpful for Economists who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Economists who need to work with data in R.

See salaries and explore the career path for Economist

Biostatistician

Biostatisticians use statistical methods to analyze biological data. They work in a variety of fields, including medicine, public health, and environmental science. This course may be helpful for Biostatisticians who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Biostatisticians who need to work with data in R.

See salaries and explore the career path for Biostatistician

Epidemiologist

Epidemiologists study the distribution and determinants of health-related states or events in specified populations. They use their findings to develop and evaluate public health interventions. This course may be helpful for Epidemiologists who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Epidemiologists who need to work with data in R.

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Clinical Research Associate

Clinical Research Associates work with physicians to design and conduct clinical trials. They also manage the data collected from these trials. This course may be helpful for Clinical Research Associates who want to learn more about R. The course would provide them with a strong foundation in R, a popular programming language for statistical computing. The course would also cover data types and structures in R, vectors, and factors. This knowledge may be helpful for Clinical Research Associates who need to work with data in R.

See salaries and explore the career path for Clinical Research Associate

Reading list

We've selected 12 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 Programming R Vectors and Factors.

DATA SCIENCE WITH R PROGRAMMING