Data Science Fundamentals Specialization

Course Cover
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Course Features

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Duration

4 months

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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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Effort

1 hour per week

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Teaching Type

Self Paced

Course Description

This specialization helps to simplify data science and provides a foundation for data science skills, techniques, concepts, and knowledge. This course covers foundational concepts like analytics taxonomy and the Cross-Industry Standard Process for Data Mining. Then, it moves on to discuss data science and classical statistical techniques. This course provides an overview of most commonly used techniques in data science including data analysis and statistical modeling, data engineering (big data), manipulation of large data (big data), algorithms to data mine, data quality, reclamation, consistency operations, and algorithms for data mining.

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

How data science is used to solve business problems

The application of predictive modeling to professional and academic work

The benefits of using the cross-industry standard process for data mining (CRISP-DM)

The knowledge and skills needed to work in the data science profession

Course Cover