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.
Data Science: How to Plan Projects, Research and Reflect
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
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
Recently updated!
December 2025
Assessments
1 assignment
Taught in English
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There are 2 modules in this course
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
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 video14 readings
Instructor
Offered by
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Frequently asked questions
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More questions
Financial aid available,