Acerca de este Curso
4.6
4,153 calificaciones
387 revisiones

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. 6 horas para completar

Sugerido: 3 weeks of study, 2 - 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

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. 6 horas para completar

Sugerido: 3 weeks of study, 2 - 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

From Problem to Approach and From Requirements to Collection

In this module, you will learn about why we are interested in data science, what a methodology is, and why data scientists need a methodology. You will also learn about the data science methodology and its flowchart.You will learn about the first two stages of the data science methodology, namely Data Requirements and Data Understanding. Finally, through a lab session, you will learn how to complete the Business Understanding and the Analytic Approach stages as well Data Requirements and Data Collection stages pertaining to any data science problem. ...
5 videos (Total 19 minutos), 1 reading, 4 quizzes
5 videos
Business Understanding5m
Analytic Approach3m
Data Requirements3m
Data Collection2m
1 lectura
Syllabus10m
2 ejercicios de práctica
From Problem to Approach10m
From Requirements to Collection10m
Semana
2
3 horas para completar

From Understanding to Preparation and From Modeling to Evaluation

In this module, you will learn what it means to understand data, and prepare or clean data. You will also lean about the purpose of data modeling and some characteristics of the modeling process. Finally, through a lab session, you will learn how to complete the Data Understanding and the Data Preparation stages as well as the Modeling and the Model Evaluation stages pertaining to any data science problem....
6 videos (Total 21 minutos), 1 reading, 4 quizzes
6 videos
Data Preparation - Concepts3m
Data Preparation - Case Study4m
Modeling - Concepts2m
Modeling - Case Study3m
Evaluation3m
1 lectura
Correction10m
2 ejercicios de práctica
From Understanding to Preparation10m
From Modeling to Evaluation10m
Semana
3
3 horas para completar

From Deployment to Feedback

In this module, you will learn about what happens when a model is deployed and why model feedback is important. Also, by completing a peer-reviewed assignment, you will demonstrate your understanding of the data science methodology by apply it to a problem that you define....
3 videos (Total 10 minutos), 1 reading, 2 quizzes
3 videos
Feedback3m
Course Summary3m
1 lectura
IBM Digital Badge2m
1 ejercicio de práctica
From Deployment to Feedback20m
4.6
387 revisionesChevron Right

32%

comenzó una nueva carrera después de completar estos cursos

38%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

13%

consiguió un aumento de sueldo o ascenso

Principales revisiones

por AGMay 14th 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

por SJAug 9th 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

Instructores

Avatar

Alex Aklson

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

Polong Lin

Data Scientist
IBM 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

  • 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.

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