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What is Data Science?

IBM via Coursera

1 Review 137 students interested
Found in Data Science
  • Provider Coursera
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 2-3 hours a week
  • Start Date
  • Duration 3 weeks long
  • Learn more about MOOCs

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Overview

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Syllabus

Defining Data Science and What Data Scientists Do
-In this module, you will go over the course syllabus to learn what will be taught in this course. Also, you will hear from data science professionals to learn what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will be required to complete a reading assignment to learn why data science is considered the sexiest job in the 21st century.

Data Science Topics
-In this module, you will hear from Norman White, the Faculty Director of the Stern Centre for Research Computing, at New York University, as he talks about data science and what skills are required for anyone interested in pursuing a career in this field and as he gives advice to those who are looking to start a career in data science. Finally, you will be required to complete reading assignments to learn about the process of mining a given dataset and about regression analysis.

Data Science in Business
-In this module, you will learn about what companies need to do in order to start with data science. You will also learn about some of the qualities that differentiate data scientists from other professionals. In addition, you will learn about analytics and what important role data scientists play in this process, and about story-telling and the importance of an effective final deliverable. Finally, you will be required to apply what you learned about data science by answering open-ended questions.


Taught by

Alex Aklson

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Review for Coursera's What is Data Science?
3.0 Based on 1 reviews

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Kurp K
3.0 3 months ago
Kurp completed this course, spending 5 hours a week on it and found the course difficulty to be easy.
Very short introduction to data science. No tools and techniques so far, no statistical or programming background. Just the idea and roots of data science explained. The videos and some point of views are quite interesting, but I'd not call it precisely a course, because there are no knowledge or skills to be learned here.
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