Online Training - IBM - Open Source tools for Data Science Dec 09 2019 16:12 languageMoneyScience
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Open Source tools for Data Science
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.
- 100% online
Start instantly and learn at your own schedule.
- Flexible deadlines
Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 7 hours to complete
Suggested: 3 weeks of study, 2-3 hours/week
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.
You will learn about a popular data science tool, Jupyter Notebooks, its features, and why they are so popular among data scientists today
Week 2 - Apache Zeppelin Notebooks
This week, you will learn about Apache Zeppelin Notebooks, its feature, and how they are different from Jupyter Notebooks.
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.
Week 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.
Project: Create and share a Jupyter Notebook
- Polong Lin, Data Scientist, IBM Developer Skills Network