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 faz parte do Programa de cursos integrados IBM Data Science Professional Certificate
Open Source tools for Data Science
oferecido por
Programa - O que você aprenderá com 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 vídeos (total de (Total 14 mín.) min), 4 testes
4 videos
Account features4min
Creating an account1min
Managing data within My Data3min
2 exercícios práticos
Practice Quiz2min
Quiz 1 - Cognitive Class Labs30min
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 vídeos (total de (Total 6 mín.) min), 4 testes
1 exercício prático
Quiz 2 - Jupyter Notebooks30min
Semana
2Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 vídeos (total de (Total 11 mín.) min), 3 testes
1 exercício prático
Quiz 3 - Zeppelin Notebooks30min
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 vídeos (total de (Total 12 mín.) min), 3 testes
4 videos
Uploading files, Installing packages and loading libraries in RStudio IDE3min
Getting started with RStudio IDE4min
RStudio Environment and History3min
1 exercício prático
Quiz 4 - RStudio IDE30min
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 vídeos (total de (Total 10 mín.) min), 2 leituras, 2 testes
4 videos
Creating an account on IBM Watson Studio (Data Science Experience)1min
Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/23min
Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/24min
2 leituras
Preface: What is IBM Watson Studio (formerly Data Science Experience)?5min
Lab - IBM Watson Studios
1 exercício prático
Quiz 5 - IBM Watson Studio30min
Project: Create and share a Jupyter Notebook
1 leitura, 1 teste
1 leituras
IBM Digital Badge2min
30%
comecei uma nova carreira após concluir estes cursos
31%
consegui um benefício significativo de carreira com este curso
24%
recebi um aumento ou promoção
Melhores avaliações
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.
por HN•Aug 19th 2018
An invaluable hands-on provision. I feel as though I am adequately hatted with the basic skills and equipped with the efficient tools for my next steps in pursuing Data Science.
Instrutores
Polong Lin
Data ScientistIBM Developer Skills Network
Sobre 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.
Sobre o Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever para este certificado?
Quando você se inscreve em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar como ouvinte sem custo.
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