Code Free Data Science by Coursera

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Course Features

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Duration

14 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

Beginner

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Teaching Type

Self Paced

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Video Content

14 hours

Course Description

This class is for those who want to learn or expand their knowledge about Data Science. Participants will be provided with the basics of predictive analytics and the expanding discipline of Data Science. There are no programming requirements. Machine Learning techniques will be demonstrated using the KNIME Analytics Platform in order to find patterns and relationships within data. Future trends and behavior prediction allows data-driven, proactive decisions. The class will teach you how to use predictive algorithms on real data and validate, validate, and interpret them without having to know any programming. Participants will learn the skills necessary to build, verify, and test predictive models.

What you will learn: * How to design Data Science workflows, without programming required * Data Science skills to design and build predictive models. * Data preparation, classification and clustering methods. * Data Science algorithms to analyze real data.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Data Manipulation, preparation and cclassification and clustering methods

Essential Data Science skills to design, build, test and evaluate predictive models

Ways to apply Data Science algorithms to real data and evaluate and interpret the results

How to design Data Science workflows without any programming involved

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