The Data Science Profession – Student View

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The Data Science Profession – Student View

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Rating: 4.648351648351649 (91 reviews)

This course is part of Data Science Foundations Specialization

Taught in German (AI Dubbing)

Instructor: Robert Zimmer

15,801 already enrolled

Included with Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

91 reviews

Beginner level

No prior experience required

4 hours to complete

2 modules

Gain insight into a topic and learn the fundamentals.

91 reviews

Beginner level

No prior experience required

4 hours to complete

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

Assessments

5 assignments

Taught in German (AI Dubbing)

Flexible schedule

Learn at your own pace

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Build your subject-matter expertise

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

There are 2 modules in this course

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 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

10 videosTotal 26 minutes

Introduction to the Specialisation4 minutes
Introduction to this course in the specialisation3 minutes
Introduction to Data Science3 minutes
What is Data?2 minutes
Types of Data1 minute
Machine Learning4 minutes
Supervised vs Unsupervised Learning3 minutes
K-Means Clustering4 minutes
Preparing your Data2 minutes
A Real World Dataset1 minute

2 readingsTotal 20 minutes

Course syllabus10 minutes
Getting ready for this course10 minutes

4 assignmentsTotal 45 minutes

Types of Data – Review Information5 minutes
Supervised vs Unsupervised – Review Information5 minutes
K-Means Clustering – Review Information5 minutes
Week 1 Summative Assessment30 minutes

3 discussion promptsTotal 80 minutes

Welcome!30 minutes
Examples of Data30 minutes
Machine Learning in the News20 minutes

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

5 videosTotal 18 minutes

What is Data Science to you?3 minutes
What are the challenges you face as a Data Science student?4 minutes
What is a day in the life of a Data Science student?5 minutes
What advice can you give to a fellow student who wants to study Data Science?5 minutes
End of Course1 minute

1 assignmentTotal 30 minutes

Week 2 Summative Assessment30 minutes

5 discussion promptsTotal 50 minutes

Your Perspective on Data Science10 minutes
Navigating Data Science Challenges10 minutes
A Day in the Life of a Data Science Student10 minutes
Advice Exchange10 minutes
Journey into Data Science10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(21 ratings)

Robert Zimmer

University of London

5 Courses22,879 learners

Offered by

University of London

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5.0

Reviewed on Apr 30, 2025

It is an excellent presentation. Everyone should take this course if he/she is thinking to become a data scientist

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Frequently asked questions

To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

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.

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