Course Features
Duration
12 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Advanced
Teaching Type
Self Paced
Course Description
Course Overview
Alumni Network
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Queen Mary recommends that you have successfully completed a first degree before embarking on this microcredential and that you are prepared for studying and engaging with academic concepts at a postgraduate level
There are no technical requirements apart from access to a computer and the internet
As a guidance, we would recommend that you have either studied in an English speaking country and/or your degree was taught in English, and/or that you have achieved an overall English Language IELTS (or equivalent) score of 6.5, including 6.0 in Writing,
What You Will Learn
Apply the principles of data analytics to data science problems
Explore data using visualisation techniques
Explain the principles and applications of Machine Learning
Build Machine Learning models from datasets
Recognise the importance of data ethics and data reliability
Explore how data impacts business, legal and ethical issues
Target Students
This microcredential would appeal to anyone looking to apply for roles as a data scientist, improve their current organisations data analysis, or looking to apply for higher-level study in data science
If you are new to Python, we do recommend you familiarise yourself with the programming language before starting this course
We can recommend the following introductory courses: Programming for Everybody Start Programming with Python
Course Instructors
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