O que é ciência de dados?

A ciência de dados tem aplicações críticas na maioria dos setores e é uma das carreiras mais procuradas em ciência da computação. Os cientistas de dados são os detetives da era de big data, responsáveis por descobrir insights valiosos de dados por meio da análise de grandes conjuntos de dados. E, assim como um detetive é responsável por encontrar pistas, interpretá-las e, por fim, discutir seu caso no tribunal, o campo da ciência de dados abrange todo o ciclo de vida dos dados. Ele começa com a captura de muitos dados brutos usando técnicas de coleta de dados seguindo para a criação e manutenção de pipelines de dados e data warehouses que limpam os dados com eficiência e os tornam acessíveis para análise em escala. Essa infraestrutura de dados permite que cientistas de dados processem conjuntos de dados com eficiência usando habilidades de mineração e modelagem de dados, além de analisar esses resultados com técnicas sofisticadas, como análise preditiva e análise qualitativa. Finalmente, essas descobertas devem ser apresentadas usando as habilidades de visualização e geração de relatórios para ajudar os tomadores de decisão de negócios. Dependendo do tamanho da empresa, os cientistas de dados podem ser responsáveis por todo esse ciclo de vida dos dados ou podem se especializar em uma parte específica do ciclo de vida como parte de uma equipe maior de ciência de dados.

Can I learn data science online?

Computer science is one of the most common subjects that online learners study, and data science is no exception. While some learners may wish to study data science through a traditional on-campus degree program or an intensive “bootcamp” class or school, the cost of these options can add up quickly once tuition as well as the cost of books and transportation and sometimes even lodging are included. As an alternative, you can pursue your data science learning plan online, which can be a flexible and affordable option. There are a wide range of popular online courses in subjects ranging from foundations like Python programming to advanced deep learning and artificial intelligence applications. Students can choose to get certifications in individual courses or specializations or even pursue entire computer science and data science degree programs online. Best of all, these online courses include lecture videos, live office hour sessions, and opportunities to collaborate with other learners from all around the world, giving you the chance to ask questions and build teamwork skills just like you would on campus.

What are examples of jobs that use a data science background?

In today’s era of “big data”, data science has critical applications across most industries. This gives students with data science backgrounds a wide range of career opportunities, from general to highly specific. Some companies may hire data scientists to work on the entire data life cycle, while larger organizations may employ an entire team of data scientists with more specialized positions such as data engineers to build data infrastructure or data analysts, business intelligence analysts, decision scientists to interpret and use this data. Some tech companies may employ much more specialized data scientists. For example, companies building internet of things (IoT) devices using speech recognition need natural language processing engineers. Public health organizations may need disease mappers to build predictive epidemiological models to forecast the spread of infectious diseases. And firms developing artificial intelligence (AI) applications will likely rely on machine learning engineers.

What online data science courses are available?

Coursera offers Professional Certificates, MasterTrack certificates, Specializations, Guided Projects , and courses in data science from top universities like Johns Hopkins University, University of Pennsylvania and companies like IBM. Popular online courses for data science include introductions to data science , data science in R , Python , SQL , and other programming languages, basic data mining techniques , and the use of data science in machine learning applications.

What are trends in online degree programs in data science?

More and more students are looking to pursue entire degree programs in data science online . There are several reasons for this, starting with cost: with Coursera's degree programs, you can get the same high quality education and the same diploma as your on-campus colleagues at a fraction of the cost. Flexibility is another big reason; particularly if you're already working full-time, the ability to pursue your data science education on your own time instead of having to take time off from your job is a huge advantage. The popularity of data science courses on campus are also increasing the appeal of online courses. Many students who want to take these courses on campus find them overenrolled, or else so crowded that lectures are challenging to follow and access to faculty is lacking. Thanks to videos of classes, online students can watch lectures on their own time in a focused environment, and virtual office hours provide regular access to faculty. Online courses can thus make learning more accessible for aspiring data scientists. Learning online doesn't mean sacrificing when it comes to the name on your diploma, either. Coursera currently offers data science degrees from top-ranked colleges like University of Illinois, Imperial College London, University of Michigan, University of Colorado Boulder, and National Research University Higher School of Economics.

Ciência de Dados Online Courses

Ciência de Dados

Os cursos e os programas de cursos integrados em ciência de dados abordam os fundamentos da interpretação de dados, realização de análises e compreensão e comunicação desses dados. Os temas estudados, tanto pelos alunos iniciantes quanto pelos avançados, incluem análise de dados qualitativos e quantitativos, ferramentas e métodos para a manipulação de dados e algoritmos de aprendizado de máquina.Especializações ciência de dados e cursos ensinam os fundamentos da interpretação de dados, realização de análise, assim como a compreensão e comunicação de tais dados. Os temas estudados, tanto pelos alunos iniciantes quanto avançados incluem: análise de dados qualitativos e quantitativos, ferramentas e métodos para a manipulação de dados e algoritmos de aprendizado de máquina.

Perguntas frequentes sobre Ciência de Dados

A ciência de dados tem aplicações críticas na maioria dos setores e é uma das carreiras mais procuradas em ciência da computação. Os cientistas de dados são os detetives da era de big data, responsáveis por descobrir insights valiosos de dados por meio da análise de grandes conjuntos de dados. E, assim como um detetive é responsável por encontrar pistas, interpretá-las e, por fim, discutir seu caso no tribunal, o campo da ciência de dados abrange todo o ciclo de vida dos dados.
Ele começa com a captura de muitos dados brutos usando técnicas de coleta de dados seguindo para a criação e manutenção de pipelines de dados e data warehouses que limpam os dados com eficiência e os tornam acessíveis para análise em escala. Essa infraestrutura de dados permite que cientistas de dados processem conjuntos de dados com eficiência usando habilidades de mineração e modelagem de dados, além de analisar esses resultados com técnicas sofisticadas, como análise preditiva e análise qualitativa. Finalmente, essas descobertas devem ser apresentadas usando as habilidades de visualização e geração de relatórios para ajudar os tomadores de decisão de negócios.
Dependendo do tamanho da empresa, os cientistas de dados podem ser responsáveis por todo esse ciclo de vida dos dados ou podem se especializar em uma parte específica do ciclo de vida como parte de uma equipe maior de ciência de dados.
Computer science is one of the most common subjects that online learners study, and data science is no exception. While some learners may wish to study data science through a traditional on-campus degree program or an intensive “bootcamp” class or school, the cost of these options can add up quickly once tuition as well as the cost of books and transportation and sometimes even lodging are included.
As an alternative, you can pursue your data science learning plan online, which can be a flexible and affordable option. There are a wide range of popular online courses in subjects ranging from foundations like Python programming to advanced deep learning and artificial intelligence applications. Students can choose to get certifications in individual courses or specializations or even pursue entire computer science and data science degree programs online.
Best of all, these online courses include lecture videos, live office hour sessions, and opportunities to collaborate with other learners from all around the world, giving you the chance to ask questions and build teamwork skills just like you would on campus.
In today’s era of “big data”, data science has critical applications across most industries. This gives students with data science backgrounds a wide range of career opportunities, from general to highly specific. Some companies may hire data scientists to work on the entire data life cycle, while larger organizations may employ an entire team of data scientists with more specialized positions such as data engineers to build data infrastructure or data analysts, business intelligence analysts, decision scientists to interpret and use this data.
Some tech companies may employ much more specialized data scientists. For example, companies building internet of things (IoT) devices using speech recognition need natural language processing engineers. Public health organizations may need disease mappers to build predictive epidemiological models to forecast the spread of infectious diseases. And firms developing artificial intelligence (AI) applications will likely rely on machine learning engineers.
Coursera offers Professional Certificates, MasterTrack certificates, Specializations, Guided Projects, and courses in data science from top universities like Johns Hopkins University, University of Pennsylvania and companies like IBM. Popular online courses for data science include introductions to data science, data science in R, Python, SQL, and other programming languages, basic data mining techniques, and the use of data science in machine learning applications.
More and more students are looking to pursue entire degree programs in data science online. There are several reasons for this, starting with cost: with Coursera's degree programs, you can get the same high quality education and the same diploma as your on-campus colleagues at a fraction of the cost. Flexibility is another big reason; particularly if you're already working full-time, the ability to pursue your data science education on your own time instead of having to take time off from your job is a huge advantage.
The popularity of data science courses on campus are also increasing the appeal of online courses. Many students who want to take these courses on campus find them overenrolled, or else so crowded that lectures are challenging to follow and access to faculty is lacking. Thanks to videos of classes, online students can watch lectures on their own time in a focused environment, and virtual office hours provide regular access to faculty. Online courses can thus make learning more accessible for aspiring data scientists.
Learning online doesn't mean sacrificing when it comes to the name on your diploma, either. Coursera currently offers data science degrees from top-ranked colleges like University of Illinois, Imperial College London, University of Michigan, University of Colorado Boulder, and National Research University Higher School of Economics.