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
The Data Science Profession – Student View
This course is part of Data Science Foundations Specialization
Instructor: Robert Zimmer
Sponsored by MAHE Manipal
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.
Details to know
Earn a career certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
Recently updated!
October 2024
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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
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
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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