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. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
¿Qué es la ciencia de datos?
ofrecido por
IBM
Acerca de este Curso
1,132,107 vistas recientes
Learner Career Outcomes
41%
comenzó una nueva carrera después de completar estos cursos
40%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Learner Career Outcomes
41%
comenzó una nueva carrera después de completar estos cursos
40%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
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. 7 horas para completar
Sugerido: 3 weeks of study, 2-3 hours/week
Inglés (English)
Subtítulos: Inglés (English), Árabe (Arabic)
Programa - Qué aprenderás en este curso
Semana
12 horas para completar
Defining Data Science and What Data Scientists Do
In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.
6 videos (Total 20 minutos), 5 lecturas, 2 cuestionarios
6 videos
The Many Paths to Data Science3m
Advice for New Data Scientists2m
A day in the Life of a Data Scientist3m
Data Science Topics and Algorithms3m
What is the cloud?3m
5 lecturas
Course Syllabus10m
Data Science: The Sexiest Job in the 21st Century20m
What Makes Someone a Data Scientist?20m
Exercise: Identifying objects in images with IBM Watson5m
Exercise: Upload and classify your images!30m
2 ejercicios de práctica
Data Science: The Sexiest Job in the 21st Century10m
What Makes Someone a Data Scientist?10m
Semana
21 hora 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 what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.
7 videos (Total 37 minutos), 2 lecturas, 2 cuestionarios
7 videos
Data Scientists at New York University4m
What is Hadoop?6m
Neural Networks and Deep Learning6m
How Can Someone Become a Data Scientist?5m
High School Students and Data Science Careers4m
Applications of Machine Learning4m
2 lecturas
Data Mining10m
Regression20m
2 ejercicios de práctica
Data Mining10m
Regression10m
Semana
33 horas para completar
Data Science in Business
In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.
3 videos (Total 17 minutos), 2 lecturas, 3 cuestionarios
3 videos
Recruiting for Data Science7m
Applications of Data Science6m
2 lecturas
The Final Deliverable20m
The Report Structure20m
2 ejercicios de práctica
The Final Deliverable10m
The Report Structure10m
Principales revisiones sobre ¿Qué es la ciencia de datos?
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).
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.
Instructores
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
Polong Lin
Data ScientistIBM Developer Skills Network
Acerca de 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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿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.
¿Cuál es la política de reembolsos?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.