Learn Jupyter from Pluralsight
Pluralsight offers you 5 courses, to learn Jupyter now!
Pluralsight, is an American publicly held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 6,500 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
Pluralsight
Beginner
Video
English
2h 11m
Create and Share Analytics with Jupyter Notebooks
This course covers the important aspects of working with Jupyter notebooks^ including installation and the role of kernels^ magic functions^ and running shell commands. In addition^ the power of cloud-hosted Jupyter notebooks is explored on AWS^ Microsoft Azure as well …
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Beginner
Video
English
1h 17m
Web Scraping: Python Data Playbook
Learn how to tell a compelling graphical data story in a Jupyter Notebook with Seaborn having scraped information from a static web page with BeautifulSoup4 when no API is available.
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All Levels
video
English
1h 28m
Building Machine Learning Models in SQL Using BigQuery ML
BigQuery ML on the Google Cloud Platform democratizes machine learning by allowing data analysts and engineers to build and use machine learning models directly from SQL without using any higher level programming language.
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All Levels
Video
English
1h 31m
Developing AI Models in Microsoft Azure
AI is no longer science fiction or the exclusive domain of scientists. In this course^ you will explore how to train and deploy custom AI models using Microsoft Azure Machine Learning Service.
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All Levels
Video
English
2h 31m
Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure
This course is for data pros^ developers^ and IT pros with different areas of responsibility who need to collaborate effectively on data science projects and iteratively develop repeatable^ high-quality machine learning models in Microsoft Azure.
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