Statistical Predictive Modelling and Applications
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Medium description
The videos in this open resource will give you an in-depth understanding of how to apply statistical modelling techniques to real-world business scenarios using Python.
You will learn how to:
- discover how predictive models influence real-world business scenarios
- translate business challenges into predictive modelling solutions
- develop experience with implementing theoretic models in Python.
This open resource is for those who want to build their career as a data scientist, business analyst, management consultant, systems designer or similar.
These videos are free open resources originally created for the short course, Statistical Predictive Modelling and Applications. Although the course is no longer running, you can still work through the content in your own time using the videos in this open resource.
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External platform sentence
This resource is hosted on the University's Media Hopper channel.
Summary
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Type of courseOpen Resource: openly licensed instructional digital materials such as text, videos, audio files and other media.
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Cost and certificationFree. No certificate available.
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DurationSelf-paced
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Weekly effortSelf-paced
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Difficulty levelAdvanced: Requires specialist knowledge
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Learning platformOpen Educational ResourcesPlatform image