Artificial Intelligence & Data Science
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Data Science Specialization by Coursera

Course Cover
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Course Features

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Duration

11 months

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Delivery Method

Online

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Available on

Lifetime 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

7 hours per week

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Teaching Type

Self Paced

Course Description

Ask the right questions, manipulate data sets to create visuals that communicate results. This Specialization includes all aspects of data science including publishing results and asking the right questions. Your final Capstone Project will let you apply your skills to create a data product using real-world data. A portfolio will allow students to demonstrate their knowledge of the material.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Use R to clean, analyze, and visualize data

Navigate the entire data science pipeline from data acquisition to publication

Use GitHub to manage data science projects

Perform regression analysis, least squares and inference using regression models

Course Instructors

Jeff Leek, PhD

Associate Professor, Biostatistics

Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from th...

Roger D. Peng, PhD

Associate Professor, Biostatistics

Roger D. Peng is a Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and a Co-Editor of the Simply Statistics blog. He received his Ph.D. in Statistics from the Univer...

Brian Caffo, PhD

Professor, Biostatistics

Brian Caffo, PhD is a professor in the Department of Biostatistics at the Johns Hopkins University Bloomberg School of Public Health. He graduated from the Department of Statistics at the University ...
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