When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. 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.

What will I get if I subscribe to this Specialization?

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.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

The Data Science Profession – Student View

本课程是 Data Science Foundations 专项课程的一部分

位教师：Robert Zimmer

13,715 人已注册

包含在中

2个模块

深入了解一个主题并学习基础知识。

84 条评论

初级等级

无需具备相关经验

4 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

84 条评论

初级等级

无需具备相关经验

4 小时完成

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

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

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

积累特定领域的专业知识

本课程是 Data Science Foundations 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有2个模块

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.

单元详情

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.

涵盖的内容

10个视频2篇阅读材料4个作业3个讨论话题

10个视频总计26分钟

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

2篇阅读材料总计20分钟

Course syllabus10分钟
Getting ready for this course10分钟

4个作业总计45分钟

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

3个讨论话题总计80分钟

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

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.

涵盖的内容

5个视频1个作业5个讨论话题

5个视频总计18分钟

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

1个作业总计30分钟

Week 2 Summative Assessment30分钟

5个讨论话题总计50分钟

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

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

授课教师评分

(20个评价)

Robert Zimmer

University of London

5 门课程20,595 名学生

提供方

University of London

The Data Science Profession – Student View

The Data Science Profession – Student View

您将学到什么

您将获得的技能

要了解的详细信息

积累特定领域的专业知识

该课程共有2个模块

Week 1: Defining Data Science and What Data Scientists Do

涵盖的内容

10个视频总计26分钟

2篇阅读材料总计20分钟

4个作业总计45分钟

3个讨论话题总计80分钟

Week 2: Interviews with Students

涵盖的内容

5个视频总计18分钟

1个作业总计30分钟

5个讨论话题总计50分钟

获得职业证书

位教师

提供方

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