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.
ofrecido por
IBMAcerca de este Curso
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Resultados profesionales del estudiante
35%
comenzó una nueva carrera después de completar estos cursos
35%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
10%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
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Nivel principiante
Aprox. 10 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Ruso (Russian)
Resultados profesionales del estudiante
35%
comenzó una nueva carrera después de completar estos cursos
35%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
10%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 10 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Ruso (Russian)
ofrecido por
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programa - Qué aprenderás en este curso
3 horas para completar
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.
3 horas para completar
8 videos (Total 27 minutos), 4 lecturas, 2 cuestionarios
8 videos
Fundamentals of Data Science2m
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Old problems, new problems, Data Science solutions3m
Data Science Topics and Algorithms3m
Cloud for Data Science3m
4 lecturas
Course Syllabus10m
Professional Certificate Career Support10m
Lesson Summary10m
Lesson Summary10m
2 ejercicios de práctica
Data Science: The Sexiest Job in the 21st Century30m
What Makes Someone a Data Scientist?30m
3 horas para completar
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.
3 horas para completar
8 videos (Total 39 minutos), 3 lecturas, 2 cuestionarios
8 videos
What is Hadoop?6m
How Big Data is Driving Digital Transformation3m
Data Science Skills & Big Data4m
Data Scientists at New York University4m
What's the difference?4m
Neural Networks and Deep Learning6m
Applications of Machine Learning3m
3 lecturas
Lesson Summary10m
Lesson Summary10m
Exercise: Identifying objects in images with IBM Watson3m
2 ejercicios de práctica
Data Mining30m
Regression30m
4 horas para completar
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 completar
7 videos (Total 32 minutos), 4 lecturas, 3 cuestionarios
7 videos
How Should Companies Get Started in Data Science?2m
Applications of Data Science3m
How Can Someone Become a Data Scientist?5m
Recruiting for Data Science7m
Careers in Data Science2m
High School Students and Data Science Careers4m
4 lecturas
Lesson Summary10m
Lesson Summary10m
Lesson Summary10m
IBM Digital Badge2m
2 ejercicios de práctica
The Final Deliverable30m
The Report Structure30m
Reseñas
Principales reseñas sobre ¿QUÉ ES LA CIENCIA DE DATOS?
por RS11 de may. de 2020
Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.
por UY26 de dic. 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 KK23 de feb. de 2020
Terrific introduction to the Data Science course. Never expected but was extremely excited with the quality of content, speakers and a very honest attempt to making this course interesting. Krishna
por PD18 de jul. de 2018
I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Certificado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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