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.
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Open Source tools for Data Science
oferecido por
IBM
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
Introducing Skills Network Labs
This week, you will get an overview of the various data science tools available to you, hosted on Skills Network Labs. You will create an account and start exploring some of the features.
3 leituras, 4 testes
3 leituras
What is Skills Network Labs?10min
Account Features10min
Creating an account.10min
2 exercícios práticos
Practice Quiz2min
Quiz 1 - Skills Network Labs30min
2 horas para concluir
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
23 horas para concluir
Apache 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
3 horas para concluir
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
34 horas para concluir
IBM 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
3 horas para concluir
Project: Create and share a Jupyter Notebook
1 leitura, 1 teste
1 leituras
IBM Digital Badge2min
43%
comecei uma nova carreira após concluir estes cursos
42%
consegui um benefício significativo de carreira com este curso
22%
recebi um aumento ou promoção
Melhores avaliações
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
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.
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.
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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