This course is primarily aimed at individuals who want to learn how Data Science is applied in the real world, what we mean by data, and what we mean by machine learning. The course also covers concepts such as K-means and categorical and numerical data.
The Data Science Profession – Student View
This course is part of Data Science Foundations Specialization
Instructor: Robert Zimmer
What you'll learn
In this course you learn how Data Science is applied in the real world, what we mean by data, and what we mean by machine learning.
Skills you'll gain
Details to know
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October 2024
5 assignments
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There are 2 modules in this course
The aim of this week's material is to gently introduce you to Data Science through some real-world examples of where Data Science is used, and also by highlighting some of the main concepts involved.
What's included
10 videos2 readings4 assignments3 discussion prompts
This week's course aims to delve into the diverse perspectives and insights within the realm of data science through interviews with fellow students. By exploring their varied experiences and visions, you will gain a comprehensive understanding of the multifaceted landscape of data science.
What's included
5 videos1 assignment5 discussion prompts
Instructor
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Recommended if you're interested in Data Analysis
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Frequently asked questions
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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