Information Technology
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Leveraging Online Resources for Python Analytics

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Course Features

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Duration

4.48 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

4 hours per week

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Teaching Type

Self Paced

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Video Content

4.48 hours

Course Description

Data science and analytics are becoming more and more popular. It can be overwhelming to see all the available tools and technologies. You will first learn about the various visualization libraries, deep learning frameworks and cloud-based solutions. Next, you'll discover the advantages of BigML, a platform that allows you to build ML models without having to deal with the underlying complexity. Technology like BigML are leading the way in democratizing ML. For example, you'll see how BigML seamlessly integrates partial dependency plots which combine large numbers of ML prediction results into an understandable form. This allows you to understand the exact function of your ML model. These models are stored in Jupyter notebooks on Google Drive. They run on virtual machines in Google Cloud.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Getting Started with Python Analytics

Leveraging Online Resources for Python Analytics with BigML

Working with Interactive Environment Using Google Colab

Course Instructors

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Amber Israelsen

Instructor

Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. In recent years, she has focused on AWS, Azu...
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