Train Your Team in Data Science

Create a competitive advantage by making your employees data literate. Our expert data scientists will train your team from the basics to powerful data mining and predictive modeling approaches that will accelerate growth and streamline resources.

Customized Training


We provide tailored executive and analyst-level trainings that will help you maximize the value of your data and the impact of your workforce at all levels of the organization. We help you create a data-driven culture by increasing the skills and understanding of everyone on your team.

“After successfully completing a project for my client, they requested to double the keywords of the original project. I took the Data Society course to be able to do the analysis on my own and implemented a data-mining project without any outside partner assistance!” – John C.


We ensure your team keeps learning by providing an on-demand learning management system after live instruction. We provide you with professional video recordings, customized training manuals, and data analysis templates so your staff can refresh and train up on new skills.

Data Science in Business

This course is designed for managers and executives who want to understand how data analytics can be used to drive business forward. Learn how other companies have used data analysis to drive their business forward, reduce costs, and target new markets so you can apply their successful strategies to your business.

Data Science Methods

Now that you know the massive potential of data science, it’s time to dive into some detail. Learn the intuition, practical use cases, and pitfalls about the most commonly used data science methods. Improve communication with your data science team and drive your data strategy forward by gaining a clear understanding of a broad range of data science techniques.

Building a Data Driven Team

What tools and people do you need to integrate data into your business? Learn about the tools you need to manage your data, what traits you need to look for when hiring data scientists, and the pitfalls to watch out for as you implement new processes and build teams.