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The Data Science Profession – Student View

This course is part of Data Science Foundations Specialization

Instructor: Robert Zimmer

13,715 already enrolled

Included with

2 modules

Gain insight into a topic and learn the fundamentals.

84 reviews

Beginner level

No prior experience required

4 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

84 reviews

Beginner level

No prior experience required

4 hours to complete

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

Category: Applied Machine Learning
Category: Unsupervised Learning
Category: Data Literacy
Category: Data Science
Category: Machine Learning Algorithms
Category: Machine Learning

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

91% of learners achieved a positive career outcome

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.

Module details

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

(20 ratings)

Robert Zimmer

University of London

5 Courses20,595 learners

Offered by

University of London

The Data Science Profession – Student View

The Data Science Profession – Student View

What you'll learn

Skills you'll gain

Details to know

Build your subject-matter expertise

There are 2 modules in this course

Week 1: Defining Data Science and What Data Scientists Do

What's included

10 videosTotal 26 minutes

2 readingsTotal 20 minutes

4 assignmentsTotal 45 minutes

3 discussion promptsTotal 80 minutes

Week 2: Interviews with Students

What's included

5 videosTotal 18 minutes

1 assignmentTotal 30 minutes

5 discussion promptsTotal 50 minutes

Earn a career certificate

Instructor

Offered by

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