Data scientist toolkit coursera torrent free download

What are some of the most popular data science tools, how do you use them, and what are their features? 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 Skills Network 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 Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.

The course is interesting. It presents large spectrum of tools. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree.

Transform your resume with a degree from a top university for a breakthrough price. Our modular degree learning experience gives you the ability to study online anytime and earn credit as you complete your course assignments. You'll receive the same credential as students who attend class on campus. Coursera degrees cost much less than comparable on-campus programs. Showing 30 total results for "data science toolkit". Intermediate Level. Flexible deadlines.

Shareable Certificate. Hours to complete. Available languages. Understand the data, problems, and tools that data analysts use. Explain essential study design concepts. Create a Github repository. Instructor rating. Roger D. Offered by. Johns Hopkins University The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.

Week 1. Video 5 videos. Why Automated Videos? What is Data Science? The Data Science Process 9m. Reading 2 readings. A Note of Explanation 2m. Quiz 5 practice exercises. Getting Help Quiz 30m. Data Science Process 30m. Module One Summative Quiz 30m. Week 2. Installing R 6m. In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox.

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