Advanced Data Science Capstone by Coursera

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Course Features

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Duration

9 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

9 hours

Course Description

The project completioner has demonstrated a deep understanding of massive parallel data processing and data exploration and visualization. He also knows how to apply his knowledge in real-world use cases where he can justify architectural decisions and proves that he understands the differences between different frameworks, algorithms and technologies, and how they impact model performance.

Note: At the end of each course, you will be asked to make a short video presentation. This is required to pass. The video doesn't have to be shared in public.

Course Overview

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Virtual Labs

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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

ETL and Feature Creation

Evaluation, Tuning, Deployment and Documentation

Identify DataSet and UseCase

Model Definition and Training

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