Data Science: How to Plan Projects, Research and Reflect

Data Science: How to Plan Projects, Research and Reflect

Instructor: Jennifer Sexton

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

Prepare for a degree

Learn more

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

8 hours to complete

Flexible schedule

Learn at your own pace

Prepare for a degree

Learn more

What you'll learn

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

Skills you'll gain

Details to know

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There are 2 modules in this course

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.

What's included

22 readings1 assignment

22 readingsTotal 249 minutes

About this course10 minutes
How to study this course10 minutes
Short course author2 minutes
1.1 Overview 5 minutes
1.2 What is reflective writing and why am I being asked to do it? 10 minutes
1.3 Why should data scientists write reflectively? 5 minutes
1.4 A simplified model for reflective writing 25 minutes
1.5 Shifting from reflective thinking to reflective writing 10 minutes
1.6 Next steps 2 minutes
2.1 A model for reflective writing – an introduction to Gibbs' model15 minutes
2.2 The reflective template5 minutes
2.3 When should I reflect?5 minutes
2.4 Barriers to writing reflectively20 minutes
2.5 Reflective activity: Examples of student reflections35 minutes
2.6 Reflective activity: Tutor feedback on student reflections30 minutes
3.1 Introducing CRISP-DM15 minutes
3.2 Large projects with diverse teams5 minutes
3.3 Day-to-day tasks5 minutes
3.4 How do data scientists collaborate?5 minutes
3.5 How can I use reflective writing to guide my research?10 minutes
3.6 Reflection for different purposes within the research project context15 minutes
Continuing your studies in Data Science5 minutes

1 assignmentTotal 30 minutes

3.7 Summary MCQ on CRISP-DM30 minutes

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.  

What's included

1 video15 readings

1 videoTotal 6 minutes

4.3 Search tools6 minutes

15 readingsTotal 175 minutes

4.1 Overview of Week 22 minutes
4.2 Deciding where to search5 minutes
4.4 Developing a search strategy15 minutes
4.5 Next steps 2 minutes
5.1 Reading with a question in mind: SQ3R5 minutes
5.2 Matching task: Using questions to guide a literature search10 minutes
5.3 Reading to answer specific questions40 minutes
5.4 How should I take notes?10 minutes
5.5 Software for note taking2 minutes
5.6 What makes a good research question?2 minutes
5.7 Next steps2 minutes
5.8 Annotated course bibliography10 minutes
Continuing your studies in Data Science5 minutes
6.1 Activity brief: Reflective assignment60 minutes
Course Summary5 minutes

Prepare for a degree

Taking this course by University of Leeds may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Instructor

Jennifer Sexton

University of Leeds

2 Courses422 learners

Offered by

University of Leeds

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