Acerca de este Curso
4.5
1,221 calificaciones
189 revisiones
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel principiante

Nivel principiante

Horas para completar

Aprox. 8 horas para completar

Sugerido: 11 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English), Alemán (German)

Habilidades que obtendrás

Data SciencePython ProgrammingNumpyPandas
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Nivel principiante

Nivel principiante

Horas para completar

Aprox. 8 horas para completar

Sugerido: 11 hours/week...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English), Alemán (German)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
3 horas para completar

Python Basics

...
Reading
3 videos (Total 11 minutos), 5 quizzes
Video3 videos
Expressions and Variables3m
String Operations3m
Quiz3 ejercicios de práctica
Types8m
Expressions and Variables8m
String Operations14m
Semana
2
Horas para completar
5 horas para completar

Python Data Structures

...
Reading
3 videos (Total 16 minutos), 7 quizzes
Video3 videos
Dictionaries2m
Sets5m
Quiz3 ejercicios de práctica
List and Tuples18m
Dictionaries6m
Sets6m
Semana
3
Horas para completar
5 horas para completar

Python Programming Fundamentals

...
Reading
4 videos (Total 41 minutos), 8 quizzes
Video4 videos
Loops6m
Functions13m
Objects and Classes10m
Quiz4 ejercicios de práctica
Conditions and Branching6m
Loops8m
Functions10m
Objects and Classes6m
Semana
4
Horas para completar
5 horas para completar

Working with Data in Python

...
Reading
6 videos (Total 31 minutos), 10 quizzes
Video6 videos
Writing Files with Open2m
Loading Data with Pandas4m
Pandas: Working with and Saving Data2m
One Dimensional Numpy11m
Two Dimensional Numpy7m
Quiz5 ejercicios de práctica
Reading Files with Open6m
Writing files with open6m
Pandas6m
One Dimensional Numpy6m
Two Dimensional Numpy6m
4.5
189 revisionesChevron Right

Principales revisiones

por SSDec 7th 2018

With MATLAB being my programming fluency, Python was very confusing at times.\n\nThis was the course I needed to explain the most common data types in python in a clear and very concise manner.

por TJSep 19th 2018

Great introduction to Python. Obviously this course couldn't teach you everything about Python, but had just enough information to get you started and peek your interest to learn more.

Instructores

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
Avatar

Rav Ahuja

Data Science Program Manager
IBM

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....

Acerca del programa especializado IBM Data Science Professional Certificate

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....
IBM Data Science Professional Certificate

Preguntas Frecuentes

  • 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.

  • 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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