What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.
LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.
Este curso forma parte de Programa Especializado - Certificado profesional de Ciencia de datos de IBM
Open Source tools for Data Science
ofrecido por
Programa - Qué aprenderás en este curso
Semana
1Introducing Cognitive Class Labs
This week, you will get an overview of the various data science tools available to you, hosted on Cognitive Class Labs. You will create an account and start exploring some of the features.
4 videos (Total 14 minutos), 4 quizzes
4 videos
Account features4m
Creating an account1m
Managing data within My Data3m
2 ejercicios de práctica
Practice Quiz2m
Quiz 1 - Cognitive Class Labs30m
Jupyter Notebooks
This week, you will learn about a popular data science tool, Jupyter Notebooks, its features, and why they are so popular among data scientists today.
2 videos (Total 6 minutos), 4 quizzes
1 ejercicios de práctica
Quiz 2 - Jupyter Notebooks30m
Semana
2Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 videos (Total 11 minutos), 3 quizzes
1 ejercicios de práctica
Quiz 3 - Zeppelin Notebooks30m
RStudio IDE
This week, you will learn about a popular data science tool used by R programmers. You'll learn about the user interface and how to use its various features.
4 videos (Total 12 minutos), 3 quizzes
4 videos
Uploading files, Installing packages and loading libraries in RStudio IDE3m
Getting started with RStudio IDE4m
RStudio Environment and History3m
1 ejercicios de práctica
Quiz 4 - RStudio IDE30m
Semana
3IBM Watson Studio
This week, you will learn about an enterprise-ready data science platform by IBM, called Watson Studio (formerley known as Data Science Experience). You'll learn about some of the features and capabilities of what data scientists use in the industry.
4 videos (Total 10 minutos), 2 readings, 2 quizzes
4 videos
Creating an account on IBM Watson Studio (Data Science Experience)1m
Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/23m
Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/24m
2 lecturas
Preface: What is IBM Watson Studio (formerly Data Science Experience)?5m
Lab - IBM Watson Studios
1 ejercicios de práctica
Quiz 5 - IBM Watson Studio30m
Project: Create and share a Jupyter Notebook
1 reading, 1 quiz
1 lecturas
IBM Digital Badge2m
30%
comenzó una nueva carrera después de completar estos cursos
31%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
24%
consiguió un aumento de sueldo o ascenso
Principales revisiones
por SH•Feb 1st 2019
All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.
por TJ•Sep 19th 2018
Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.
Instructores
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.
Acerca del programa especializado Certificado profesional de Ciencia de datos de IBM
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.
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.
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