Informações sobre o curso: 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.
Para quem é direcionado este curso: This course is aimed any anyone in Data Science and has little or no knowledge about the tools used by Data Scientists.
Desenvolvido por: IBM
Ministrado por: Polong Lin, Data Scientist
IBM Developer Skills Network
| Informações básicas | Curso 2 de 9 no IBM Data Science Professional Certificate Specialization |
| Nível | Básico |
| Compromisso | 3 weeks of study, 2-3 hours/week |
| Idioma | Inglês |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Introducing 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, 1 teste para praticar
- Vídeo: Account features
- Vídeo: Creating an account
- Vídeo: Managing data within My Data
- LTI Item: Lab - Getting Started with Cognitive Class Labs
- LTI Item: Lab - Exploring My Data on Cognitive Class Labs
- Practice Quiz: Practice Quiz
Nota atribuída: Quiz 1 - Cognitive Class Labs
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
- Vídeo: Getting started with Jupyter Notebooks
- LTI Item: Lab - Jupyter Notebooks - The Basics
- LTI Item: Lab - Jupyter Notebooks - More Features
- LTI Item: Lab - Jupyter Notebooks - Advanced Features
- Discussion Prompt: Interesting Jupyter Notebooks on the Internet
Nota atribuída: Quiz 2 - Jupyter Notebooks
SEMANA 2
Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
3 videos
- Vídeo: Zeppelin for Scala
- Vídeo: Getting started with Zeppelin
- LTI Item: Lab - Zeppelin Notebooks - The Basics
- LTI Item: Lab - Zeppelin Notebooks - Tutorial
Nota atribuída: Quiz 3 - Zeppelin Notebooks
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
- Vídeo: Uploading files, Installing packages and loading libraries in RStudio IDE
- Vídeo: Getting started with RStudio IDE
- Vídeo: RStudio Environment and History
- LTI Item: Lab - RStudio - The Basics
- LTI Item: Lab - RStudio - Creating an interactive map in R
Nota atribuída: Quiz 4 - RStudio IDE
SEMANA 3
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 videos, 2 leituras
- Reading: Preface: What is IBM Watson Studio (formerly known as Data Science Experience?
- Vídeo: Creating an account on IBM Watson Studio (Data Science Experience)
- Vídeo: Jupyter notebooks on Watson Studio (Data Science Experience) - Part 1/2
- Vídeo: Jupyter Notebooks on IBM Watson Studio (Data Science Experience) - Part 2/2
- Reading: Lab - IBM Watson Studio
- LTI Item: OPTIONAL: IBM Cloud Promo Code
Nota atribuída: Quiz 5 - IBM Watson Studio
Project: Create and share a Jupyter Notebook
1 leituras
- Reading: IBM Digital Badge
Nota atribuída: Create and share your Jupyter Notebook
Perguntas frequentes
Como funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
keep me in context of the tools used for doing datascience
Watson exp is awesome, I am happy to see IBM SPSS Modeler there
Very informative course
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While this course is a very good introduction and generates and overview for the tools i would like to have some more fundamental information about for example what is spark and where is used (examples of real life scenarios etc etc.)
Maybe it will be covered in the next courses.