ONLINE COURSES

data science online courses

Learn about data science topics from the comfort of your home or office.

Content Optimization with Multi-Armed Bandits

Description

Whenever you have multiple items to choose from, and are not sure which will result in the highest level of engagement or action, you have to make a choice. A/B testing can help you, but there is a better way, a quicker, less-wasteful way, and it is called a multi-armed bandit. Typical applications of multi-armed bandits include subject line testing for emails, button colors, page design/layout, and headline optimization. Anything you can test in the A/B fashion, you can do with bandits, but bandits will ensure you quickly converge to your best option, saving you time and money, and saving your users from viewing irrelevant content. In this course, you will learn different strategies for balancing exploration and exploitation and how to implement content optimization algorithms, tune them, and incorporate them into various applications.

More info

For more info, go to the course page.


Entity Resolution with Python

Description

Learn the foundations of entity resolution techniques, how to implement pairwise similarity scoring, and how to use clustering for deduplication. This workshop is an approximately 2 hour online webinar focused on demonstration-led topics and techniques. The webinar covers the following topics:
  • Introduce entity resolution theory and tasks
  • Similarity scores and similarity vectors
  • Pairwise matching with the Fellegi Sunter algorithm
  • Clustering approaches to deduplication
  • Notes on record linkage, constraints, and canonicalization

More info

For more info, go to the course page.


Building a Django Data Product

Description

Learn how a Django web application can be combined with analytics and how to build a Django data product from start to finish. In this tutorial we will show you how to create a Django project that interacts with a classifier and accepts feedback from the user, building a supervised training set to improve the model in the backend. After this workshop you should understand how a Django web application can be used in coordination with analytics exercises, and how to build a Django application from start to finish.

More info

For more info, go to the course page.


Computational Statistics with Python

Description

Gain a conceptual understanding of contemporary statistical methods, as well as hands on experience implementing these methods from scratch on example problems. In this course, we will extend beyond the methods of classical statistics and gain familiarity with contemporary methods for statistical inference driven by computational power. Students will gain experience with the general concepts behind Monte Carlo sampling, Bootstrapping, and Bayesian inference so that these methods may be applied to new problems.

More info

For more info, go to the course page.


Practical Predictive Modeling with Python

Description

Learn how to create a predictive model in Python using labeled data. Predictive models are used for everything from predicting if a customer will buy more products to identifying patients at high risk of readmission. The purpose of this workshop is to show you how, using labeled data, you can create, train, and implement a predictive model in production.

More info

For more info, go to the course page.



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