Introduction to Predictive Analytics using Python

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Medium description

The videos in this open resource provides you with the skills to build a predictive model from the ground up, using Python.

You’ll understand:

  • the data discovery process
  • how to make connections between the predicting and predicted variables.

Through the analysis of real-life data, you will also develop an approach to implement simple linear and logistic regression models. A background in mathematics and statistics is recommended and previous experience with a procedural programming language is beneficial (e.g. Python, C, Java, Visual Basic). 

These videos are free open resources originally created for the short course, Introduction to Predictive Analytics using Python. 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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This resource is hosted on the University's Media Hopper channel.

  • Category
    Open Resource: openly licensed instructional digital materials such as text, videos, audio files and other media.
  • Cost and certification
    Free. No certificate available.
  • Duration
    Self-paced video
  • Weekly effort
    Self-paced video
  • Difficulty level
    Advanced: Requires specialist knowledge
  • Channel
    Open Educational Resources
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