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.
提供方
Learner Career Outcomes
46%
45%
19%
Learner Career Outcomes
46%
45%
19%
100% 在線
可靈活調整截止日期
初級
完成時間大約為8 小時
英語（English）
教學大綱 - 您將從這門課程中學到什麼
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.
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.
Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter 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.
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.
Project: Create and share a Jupyter Notebook
來自Open Source tools for Data Science的熱門評論
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!!!!
This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.
講師
Polong Lin
Data Scientist關於 IBM
常見問題
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