Skip to main Content

Practical Data Science with Amazon SageMaker

In this intermediate-level course, individuals learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs.

Delivery Format

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

4 courses found

    • Delivery Format: Virtual Learning
    • Date 13 September, 2024
    • Location: Virtual

    £750.00

    • Delivery Format: Virtual Learning
    • Date 11 November, 2024
    • Location: Virtual

    £750.00

    • Delivery Format: Virtual Learning
    • Date 21 March, 2025
    • Location: Virtual

    £750.00

    • Delivery Format: Virtual Learning
    • Date 26 September, 2025
    • Location: Virtual

    £750.00

Request a date or location for this course

Dates in Other Countries

We Care About Your Privacy

We are using cookies to give you the best experience on our site. Cookies are files stored in your browser and are used by most websites to help personalise your web experience. By continuing to use our website without changing the settings, you are agreeing to our use of cookies.

About your Privacy

We process your data for purposes such as delivering content or advertisements and measuring the delivery of such content or advertisements to extract insights about our website. We may share this information with our partners. Cookies set by Global Knowledge are labelled “first party”; you may exercise your preferences in relation to first party cookies by toggling the switch for each first party cookie category below. The remaining cookies are third party cookies; you may exercise your preferences in relation to each purpose by toggling the relevant switch below or by vendor by clicking “List of IAB Vendors.” These choices will be signaled globally to other websites participating in the Transparency and Consent Framework.
Privacy Statement

Necessary Cookies

These are cookies that are required for the Global Knowledge website to function and cannot be switched off in our systems. They include, for example, cookies that enable you to use a shopping cart or log into the booking area of our website.

Analytics Cookies

Analytics cookies are an optional but important part of our website's functionality. They help us to understand how you interact with our site by collecting and reporting information anonymously. The data collected by analytics cookies is used to improve the website's performance and enhance the user experience. It is important to note that these cookies do not collect any personal information that can be used to identify you.

Preferences Cookies

These are optional and you can turn them off and on. Please only use 2 to 3 lines of text here and if needed link to a page with more cookie info in Intro.

Performance Cookies

These cookies allow us to recognise and count the number of visitors to our website, traffic sources and to see how website visitors move around the website when they are using it. This helps us to improve the way the website works and improve your website experience. All information these cookies collect is aggregated and therefore anonymous.

Cookie Control toggle icon