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
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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
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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 videos•Total 26 minutes
- Introduction to the Specialisation•4 minutes
- Introduction to this course in the specialisation•3 minutes
- Introduction to Data Science•3 minutes
- What is Data?•2 minutes
- Types of Data•1 minute
- Machine Learning•4 minutes
- Supervised vs Unsupervised Learning•3 minutes
- K-Means Clustering•4 minutes
- Preparing your Data•2 minutes
- A Real World Dataset•1 minute
2 readings•Total 20 minutes
- Course syllabus•10 minutes
- Getting ready for this course•10 minutes
4 assignments•Total 45 minutes
- Week 1 Summative Assessment•30 minutes
- Types of Data – Review Information•5 minutes
- Supervised vs Unsupervised – Review Information•5 minutes
- K-Means Clustering – Review Information•5 minutes
3 discussion prompts•Total 80 minutes
- Welcome!•30 minutes
- Examples of Data•30 minutes
- Machine Learning in the News•20 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 videos•Total 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 Course•1 minute
1 assignment•Total 30 minutes
- Week 2 Summative Assessment•30 minutes
5 discussion prompts•Total 50 minutes
- Your Perspective on Data Science•10 minutes
- Navigating Data Science Challenges•10 minutes
- A Day in the Life of a Data Science Student•10 minutes
- Advice Exchange•10 minutes
- Journey into Data Science•10 minutes
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Reviewed on Apr 29, 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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