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
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The Data Science Profession – Student View
This course is part of Data Science Foundations Specialization
Instructor: Robert Zimmer
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
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
Shareable certificate
Add to your LinkedIn profile
Recently updated!
October 2024
Assessments
5 assignments
Taught in English
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This course is part of the Data Science Foundations Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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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
Offered by
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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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