The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
oferecido por
IBMInformações sobre o curso
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Certificados compartilháveis
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100% on-line
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Nível iniciante
Aprox. 8 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Turco, Inglês, Espanhol
Resultados de carreira do aprendiz
12%
comecei uma nova carreira após concluir estes cursos
14%
consegui um benefício significativo de carreira com este curso
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 8 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Alemão, Russo, Turco, Inglês, Espanhol
oferecido por
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - O que você aprenderá com este curso
2 horas para concluir
Defining Data Science and What Data Scientists Do
In this module, you will view the course syllabus to learn what will be taught in this course. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
2 horas para concluir
8 vídeos (Total 27 mín.), 4 leituras, 2 testes
2 horas para concluir
Data Science Topics
In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing at New York University, as he talks about data science and the skills required for anyone interested in pursuing a career in this field. He also advises those looking to start a career in data science. Finally, you will complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
2 horas para concluir
8 vídeos (Total 39 mín.), 2 leituras, 2 testes
4 horas para concluir
Data Science in Business
In this module, you will learn about the approaches companies can take to start working with data science. You will learn about some of the qualities that differentiate data scientists from other professionals. You will also learn about analytics, story-telling, and the pivotal role data scientists play in creating an effective final deliverable. Finally, you will apply what you learned about data science by answering open-ended questions.
4 horas para concluir
7 vídeos (Total 32 mín.), 4 leituras, 4 testes
Avaliações
Principais avaliações do O QUE É CIÊNCIA DE DADOS?
por RM9 de Jun de 2019
The course is a perfect introduction to data science, making a person comfortable and showing the participants of the course a daily work of data scientist and to simplify the meaning of data science.
por UY26 de Dez de 2018
The Course answers the question which the title says. It is a very basic course, and no skill can be learned from this, but it provides insights from actual people who are working /teach data science.
por PV5 de Out de 2019
The unique way the definitions of Data Science and Scientist were explained was exemplary. Hearing from experts and people who are practicing Data science is what made the course interesting thus far.
por NF26 de Ago de 2019
This section of the course is decidedly an orientation and not so much an introduction. It leaves more to the student to wonder, which perhaps is intended to encourage students and not to hammer them.
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