Data Science: How to Plan Projects, Research and Reflect

抓住节省的机会！购买 Coursera Plus 3 个月课程可享受40% 的折扣，并可完全访问数千门课程。

Data Science: How to Plan Projects, Research and Reflect

位教师：Jennifer Sexton

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

为学位做准备

了解更多

2个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

8 小时完成

灵活的计划

自行安排学习进度

为学位做准备

了解更多

您将学到什么

How to plan a data science project using a clear framework
·How to research a topic and complete a literature review
·How to reflect on your work and communicate your findings

您将获得的技能

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有2个模块

This course guides you through the key steps involved in planning and delivering a successful data science project. You will learn how to define your project aims, build a clear project plan, and select methods that support strong, evidence-based work. The course also introduces core academic skills, including how to research a topic, complete a literature review, and evaluate information critically.

Reflection is a central part of the process, and you will learn how to reflect on your decisions and communicate your findings with clarity and confidence. Through practical activities and real examples, you will build the skills needed to approach data science projects in a structured and thoughtful way. By the end of the course, you will be ready to plan, research and reflect effectively on your own data science work.

In this short course, you will learn to communicate the key concepts, skills and attitudes for developing a proposal to deliver data science project work, which can then be applied in the workplace.

涵盖的内容

22篇阅读材料1个作业

22篇阅读材料总计249分钟

About this course 10分钟
How to study this course 10分钟
Short course author 2分钟
1.1 Overview 5分钟
1.2 What is reflective writing and why am I being asked to do it? 10分钟
1.3 Why should data scientists write reflectively? 5分钟
1.4 A simplified model for reflective writing 25分钟
1.5 Shifting from reflective thinking to reflective writing 10分钟
1.6 Next steps 2分钟
2.1 A model for reflective writing – an introduction to Gibbs' model 15分钟
2.2 The reflective template 5分钟
2.3 When should I reflect? 5分钟
2.4 Barriers to writing reflectively 20分钟
2.5 Reflective activity: Examples of student reflections 35分钟
2.6 Reflective activity: Tutor feedback on student reflections 30分钟
3.1 Introducing CRISP-DM 15分钟
3.2 Large projects with diverse teams 5分钟
3.3 Day-to-day tasks 5分钟
3.4 How do data scientists collaborate? 5分钟
3.5 How can I use reflective writing to guide my research? 10分钟
3.6 Reflection for different purposes within the research project context 15分钟
Continuing your studies in Data Science 5分钟

1个作业总计30分钟

3.7 Summary MCQ on CRISP-DM 30分钟

This week is delivered in collaboration with Skills@Library and examines how to conduct an efficient literature search, keep accurate records, critique the available published literature and consolidate this information into a viable research proposal.  

涵盖的内容

1个视频15篇阅读材料

1个视频总计6分钟

4.3 Search tools 6分钟

15篇阅读材料总计175分钟

4.1 Overview of Week 2 2分钟
4.2 Deciding where to search 5分钟
4.4 Developing a search strategy 15分钟
4.5 Next steps 2分钟
5.1 Reading with a question in mind: SQ3R 5分钟
5.2 Matching task: Using questions to guide a literature search 10分钟
5.3 Reading to answer specific questions 40分钟
5.4 How should I take notes? 10分钟
5.5 Software for note taking 2分钟
5.6 What makes a good research question? 2分钟
5.7 Next steps 2分钟
5.8 Annotated course bibliography 10分钟
Continuing your studies in Data Science 5分钟
6.1 Activity brief: Reflective assignment 60分钟
Course Summary 5分钟

为学位做准备

学习 University of Leeds 的这个课程，您可以预览相关学位课程计划中的主题、材料和授课教师，以便您确定该主题或大学是否适合您。

位教师

Jennifer Sexton

University of Leeds

2 门课程 324 名学生

提供方

University of Leeds

从 Data Analysis 浏览更多内容

状态：免费试用
Johns Hopkins University
A Crash Course in Data Science
课程
状态：免费试用
CertNexus
Finalize a Data Science Project
课程
状态：免费试用
IBM
Data Science Methodology
课程
状态：预览
Coursera
Data Science for Professionals
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

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.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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.