
The course is extremely interactive and hands-on. You will learn by working through concrete problems with a real dataset. You will be taught by academic and industry experts in the field, who have a wealth of experience and knowledge to share
Languages and libraries:
PREREQUISITES
Elementary Python programming and use of the command line. You can acquire these skills at our Python bootcamp.
Basic probability and linear algebra.
AUDIENCE
Individuals who want to master new technical skills and learn the latest techniques and industry best practices to work effectively with Data Science teams.
Get in touch with us to learn more about the course!
DAY ONE
Exploratory Data Analysis
DAY TWO
Unsupervised Learning and Supervised Learning
DAY THREE
Ensemble Methods
Case Studies
Learning Outcomes:
KATE Projects:
- FTSE Market Summary Report: Data analysis of an FTSE dataset using pandas
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Customer Banking Complaints EDA: EDA of Customer Banking Complaints using pan- das and bokeh
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Classification and Model Selection: Build a supervised learning model to predict the success of Kickstarter campaigns.
Get in Touch
Interested in learning more?
If you’re interested in what the ‘Core Data Science Using Python’ could do for your team or department, please complete the form to the right of this text and we’ll get back to you within two working days with more information.
Get in touch now
Please complete all of the required fields to get in touch with us. Alternatively, call +44(0)7816 419378 or email contact@cambridgespark.com now