Ferramentas para Ciência de Dados: Introdução ao R from Coursera

Nossas boas-vindas ao Curso Ferramentas para Ciência de Dados: Introdução ao R.

Neste curso, você aprenderá que o mundo evoluiu muito quando o assunto é tomada de decisão baseada em dados e já não é possível comparar a quantidade de informações a que temos acesso atualmente com o que tínhamos disponíveis décadas atrás.

Basicamente, a ciência de dados tem como objetivo encontrar formas inovadoras para analisar e impulsionar o crescimento de negócios, por isso, muitas ferramentas analíticas foram adotadas pelo mercado e são utilizadas para processar os dados, realizar análises avançadas e facilitar o processo de tomada de decisão.

Ao final deste curso, você será capaz de conhecer as principais ferramentas de mercado e aprender os fundamentos da linguagem R e como utilizá-la em seu dia-a-dia. O curso cobre a os principais tópicos:

- Ferramentas para Data Science;

- Introdução à linguagem de programação em R;

- Utilização de ambiente de desenvolvimento;

- Instalação e utilização de bibliotecas no R;

- Escrita de funções em R;

- Escrita, leitura e manipulação de dados;

- Análises gráficas.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Curso introdutório indicado para iniciantes que buscam conhecer os fundamentos da ciência de dados

Aborda o uso de ferramentas analíticas essenciais no mercado para processamento de dados e tomadas de decisão

Instruções ministradas por Anderson França, reconhecido especialista na área

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 Ferramentas para Ciência de Dados: Introdução ao R with these activities:

Review R Basics

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Revisit R basics to strengthen foundational knowledge.

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Review R syntax
Practice basic R operations
Complete short R exercises

Review Introduction to R

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Review basic concepts in R to build on prior knowledge.

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Read textbook chapters on R basics
Rewatch lectures on R fundamentals
Complete practice problems on R basics

R Study Group

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Engage with peers to discuss R concepts and work on projects.

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Join or form a study group with other R learners
Meet regularly to discuss course material
Work together on R projects and assignments

Two other activities

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Data Visualization Project

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Apply R skills to a practical data visualization project.

Browse courses on Data Visualization

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Gather and explore a dataset
Choose appropriate data visualization techniques
Create visualizations using R libraries like ggplot2
Interpret and communicate the results

Contribute to R Open Source Projects

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Gain practical experience and contribute to the R community.

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Identify R open source projects to contribute to
Review project documentation and guidelines
Make code contributions or report bugs
Engage with project maintainers and other contributors

Career center

Learners who complete Ferramentas para Ciência de Dados: Introdução ao R will develop knowledge and skills that may be useful to these careers:

Statistician

This course may be useful for aspiring Statisticians who want to build a foundation in data analysis and manipulation using the R programming language. R is a widely adopted tool in the statistics field, and proficiency in R can open doors to various statistician roles.

See salaries and explore the career path for Statistician

Biostatistician

This course may be useful for aspiring Biostatisticians, as it can help build a foundation in data analysis and manipulation using the R programming language. R is a widely adopted tool in the biostatistics field, and proficiency in R can open doors to various biostatistician roles.

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Quantitative Analyst

This course may be useful for aspiring Quantitative Analysts, as it can help build a foundation in data analysis and manipulation using the R programming language. R is a widely adopted tool in the quantitative finance field, and proficiency in R can open doors to various quantitative analyst roles.

See salaries and explore the career path for Quantitative Analyst

Data Scientist

This course may be useful for aspiring Data Scientists, as it can help build a foundation in data analysis and manipulation using the R programming language. R is a widely adopted tool in the data science field, and proficiency in R can open doors to various data science roles.

See salaries and explore the career path for Data Scientist

Data Analyst

This course may be useful for aspiring Data Analysts, as it can help build a foundation in data analysis and manipulation using the R programming language. R is a widely adopted tool in the data science field, and proficiency in R can open doors to various data analyst roles.

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Data Science Manager

This course may be useful for aspiring Data Science Managers who want to build a foundation in data analysis and manipulation using the R programming language. R can be useful for managing data science teams and projects, and proficiency in R can complement other data science management skills.

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Machine Learning Engineer

This course may be useful for aspiring Machine Learning Engineers, as it can help build a foundation in data analysis and manipulation using the R programming language. R can be useful for building and deploying machine learning models, and proficiency in R can complement other machine learning engineering skills.

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Research Scientist

This course may be useful for aspiring Research Scientists who want to build a foundation in data analysis and manipulation using the R programming language. R can be useful for conducting research and analyzing data, and proficiency in R can complement other research scientist skills.

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Actuary

This course may be useful for aspiring Actuaries who want to build a foundation in data analysis and manipulation using the R programming language. R can be useful for performing actuarial calculations and analyzing data, and proficiency in R can complement other actuarial skills.

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Data Science Consultant

This course may be useful for aspiring Data Science Consultants who want to build a foundation in data analysis and manipulation using the R programming language. R can be useful for providing data science consulting services, and proficiency in R can complement other data science consulting skills.

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Epidemiologist

This course may be useful for aspiring Epidemiologists, as it can help build a foundation in data analysis and manipulation using the R programming language. R can be useful for analyzing epidemiological data and conducting research, and proficiency in R can complement other epidemiology skills.

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Market Researcher

This course may be useful for aspiring Market Researchers, as it can help build a foundation in data analysis and manipulation using the R programming language. R can be useful for analyzing market data and conducting research, and proficiency in R can complement other market research skills.

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Business Analyst

This course may be useful for aspiring Business Analysts, as it can help build a foundation in data analysis and manipulation using the R programming language. R can be useful for performing data analysis to support business decisions, and proficiency in R can complement other business analysis skills.

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Data Engineer

This course may be useful for aspiring Data Engineers, as it can help build a foundation in data analysis and manipulation using the R programming language. R can be useful for building data pipelines and managing data infrastructure, and proficiency in R can complement other data engineering skills.

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Software Engineer

This course may be useful for aspiring Software Engineers who want to specialize in data-related software development. Proficiency in R can be valuable for developing software solutions that involve data analysis and manipulation.

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