Learning to achieve business objectives using data science enables you to become a strategic asset to your organization. We combine expert instructors, high-performance tools, and long-format courses that teach end-to-end data science projects with a focus on Return-On-Investment (ROI). This gets results.
The Virtual Workshop is an integrated collection of courses that teaches you 90% of the skills you will need to be successful as a data scientist within an enterprise. The central course teaches the critical analysis. The extension courses target critical skills such as web applications, communication, and package development.
DS4B 201-R is a ground-breaking course that takes students from beginner to advanced in 10 weeks! The student evaluates one problem in-depth learning all of the critical aspects of applying data science and machine learning to business. Students consistently rate a 9 of 10 in course satisfaction!
DS4B 201-P is the Python equivalent of our ground-breaking DS4B 201-R course. The student learns Python, Apache Spark (great for Big Data), and other tools taking them from beginner to advanced in 10 weeks! The course is under construction but targeted for Q4 2018.
Matt is giving a workshop on Machine Learning with H2O and a talk on Data Science For Business With Applications In R And H2O. Come see the fun and learn our tools and systems for success!
Matt spoke with Kate Strachnyi about the crazy transition of going full time with Business Science.
Matt will give a talk on
tidyquant including the project roadmap for tidy time series analysis and extendibilty!
Davis will be speaking on the future of time series in the
tidyverse. See Davis for
Matt spoke with Kirill Eremenko, founder of SuperDataScience, on how
tidyquant came to be, how the Business Science blog is used to help data scientist learn, R vs Python in business, and more! Listen to the episode with Kirill and Matt!
Matt presented on time series analysis including R packages