Metodologia de Ciência de Dados from Coursera

Apesar do recente aumento do poder da computação e do acesso a dados nas últimas décadas, nossa capacidade de usar os dados em um processo de decisão é frequentemente perdida ou não maximizada. Não temos uma compreensão sólida da pergunta que está sendo feita e como aplicar os dados corretamente à questão. Este curso busca compartilhar uma metodologia que possa ser usada dentro da ciência de dados, para garantir que os dados usados em resoluções de problemas sejam relevantes e devidamente operados. Assim, neste curso, você aprenderá: - As principais etapas da resolução de problemas de ciência de dados. - As principais etapas da prática da ciência de dados, desde a formação de um negócio concreto ou problema de pesquisa, à coleta e análise de dados, construção de um modelo, e ao entendimento de feedback após a implementação do modelo. - Como cientistas de dados pensam! OFERTA POR TEMPO LIMITADO: inscrições por apenas US$ 39 por mês com acesso a materiais avaliados e um certificado.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a detailed framework for data-driven problem-solving, making it useful for those seeking to improve their decision-making skills

Teaches a structured approach to data science, fostering a rigorous understanding of the field

Imparts knowledge from industry experts, ensuring relevance and practical application of the concepts learned

Suitable for beginners seeking a comprehensive introduction to data science

Emphasizes critical thinking and problem-solving, empowering learners to approach data-driven challenges effectively

Reviews summary

Data science problem solving

The single review for "Metodologia de Ciência de Dados" praises the course's instructors for their knowledge and expertise in data science.

Instructors are very knowledgeable.

"os instrutores tem conhecimento profundo sobre o tema"

Diploma took months to be issued.

"levou messes para sair o diploma"

Career center

Learners who complete Metodologia de Ciência de Dados will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists apply mathematical and statistical techniques to extract insights from data, helping businesses make better decisions. This course will provide you with the foundational knowledge and skills needed to succeed as a Data Scientist, including methodologies for gathering, analyzing, and interpreting data. You will also learn how to communicate your findings effectively to stakeholders.

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Data Analyst

Data Analysts use data to solve business problems and improve decision-making. They work with data to identify patterns and trends, and to develop recommendations for improvement. This course will provide you with the skills and knowledge needed to become a successful Data Analyst, including methodologies for data collection, analysis, and visualization.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models that can automate tasks and improve decision-making. This course will provide you with the foundational knowledge and skills needed to become a successful Machine Learning Engineer, including methodologies for data collection, model building, and deployment.

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Data Engineer

Data Engineers design and build the infrastructure and tools that are used to manage and process data. They work with data scientists and other stakeholders to ensure that data is available and accessible. This course will provide you with the foundational knowledge and skills needed to become a successful Data Engineer, including methodologies for data collection, storage, and processing.

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Business Analyst

Business Analysts use data and analytics to solve business problems and improve decision-making. They work with stakeholders to identify needs and develop solutions. This course will provide you with the skills and knowledge needed to become a successful Business Analyst, including methodologies for data collection, analysis, and visualization.

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Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve problems in business and industry. They work with data to identify inefficiencies and develop solutions for improvement. This course will provide you with the foundational knowledge and skills needed to become a successful Operations Research Analyst, including methodologies for data collection, analysis, and modeling.

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Statistician

Statisticians use data to solve problems and make informed decisions. They work with data to identify patterns and trends, and to develop models for prediction and forecasting. This course will provide you with the foundational knowledge and skills needed to become a successful Statistician, including methodologies for data collection, analysis, and interpretation.

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Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work with data to develop models for predicting future events and to calculate insurance premiums. This course will provide you with the foundational knowledge and skills needed to become a successful Actuary, including methodologies for data collection, analysis, and modeling.

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Epidemiologist

Epidemiologists use data to study the distribution and determinants of health-related states or events in specified populations. They work with data to identify risk factors and develop strategies for prevention and control. This course will provide you with the foundational knowledge and skills needed to become a successful Epidemiologist, including methodologies for data collection, analysis, and interpretation.

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Data Governance Analyst

Data Governance Analysts develop and implement policies and procedures for data management. They work with stakeholders to ensure that data is used in a consistent and ethical manner. This course will provide you with the foundational knowledge and skills needed to become a successful Data Governance Analyst, including methodologies for data collection, analysis, and interpretation.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. They work with data to identify trends and patterns, and to develop models for predicting future performance. This course will provide you with the foundational knowledge and skills needed to become a successful Quantitative Analyst, including methodologies for data collection, analysis, and modeling.

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Market Researcher

Market Researchers use data to understand consumer behavior and trends. They work with data to identify opportunities and develop marketing strategies. This course will provide you with the foundational knowledge and skills needed to become a successful Market Researcher, including methodologies for data collection, analysis, and interpretation.

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Data Architect

Data Architects design and build the architecture for data systems. They work with stakeholders to identify data needs and develop solutions for data management and storage. This course will provide you with the foundational knowledge and skills needed to become a successful Data Architect, including methodologies for data collection, storage, and processing.

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Technical Writer

Technical Writers create documentation for software, products, and services. They work with subject matter experts to gather information and develop clear and concise instructions. This course will provide you with the foundational knowledge and skills needed to become a successful Technical Writer, including methodologies for gathering and organizing information.

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User Experience Researcher

User Experience Researchers study how users interact with products and services. They work with data to identify pain points and develop solutions for improvement. This course will provide you with the foundational knowledge and skills needed to become a successful User Experience Researcher, including methodologies for data collection, analysis, and interpretation.

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