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What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you will learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn what each tool is used for, what programming languages they can run, their features and limitations. With the cloud-hosted tools at Skills Network Labs, you can try each tool and follow the instructions to run simple code in Python, R, or Scala.
What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you will learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
You will learn what each tool is used for, what programming languages they can run, their features and limitations.
With the cloud-hosted tools at Skills Network Labs, you can try each tool and follow the instructions to run simple code in Python, R, or Scala.
To complete the course, you will create a capstone project with a Jupyter Notebook in IBM Watson Studio and demonstrate your proficiency by preparing a notebook, writing Markdown, and sharing your work with your peers.
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This week, you'll get an overview of commonly used programming languages, including Python, R, Scala, and SQL. You will be introduced to the commercial and open source data science tools available. You will also learn about the packages, APIs, datasets, and models that are frequently used by data scientists.
This week, you'll learn about three popular tools used in data science: GitHub, Jupyter Notebooks, and RStudio IDE. You will become familiar with the features of each tool and what makes these tools so popular with data scientists today.
This week, you'll learn about an enterprise-ready data science platform from IBM called Watson Studio. You will learn about some of the features and capabilities that are used by data scientists in the industry. You'll also learn about other IBM tools used to support data science projects, such as IBM Watson Knowledge Catalog, Data Refinery, and SPSS Modeler.
This week, you will demonstrate your skills by creating and configuring a Jupyter Notebook. As part of his grade for this course, he will share his Jupyter Notebook with his peers for review.
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IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today, 47 of the 50 Fortune 50 companies rely on IBM Cloud to run their business, and IBM Watson Enterprise AI is hard at work on more than 30.000 engagements. IBM is also one of the world's leading corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by the principles of trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
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