Business Science
Data Science Courses for Enterprise
Improve your data science skills - Learn the necessary skills to get your dream job or improve your career development.
Improve your data science skills - Learn the necessary skills to get your dream job or improve your career development.
Data savvy professionals seeking to make the link between data science and business objectives to increase ROI for their organization.
Data scientists working for companies in large consulting firms (e.g. Accenture, Deloitte, etc) and boutique consulting firms that focus on enterprise improvement and ROI.
Future data scientists seeking to gain skills in addition to their current program offering. Leveraging Business Science University gets you trained on high-demand skills placing you ahead of your peers in the job market.
The enterprise-grade process of solving business problems with data science and machine learning.
Create Free AccountData Science is about learning the right tool for the job. Each have pros and cons, and you should have options. We offer multiple tracks depending on your programming language of choice.
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.
(R Track)
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)
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)
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.
"I really recommend this course if you want to know how to do Data Science for business. Here Matt will teach you a great path to ROI driven Data Science using R and great tools. The methodology he uses is great if you are involved in any kind of business and want to add value to your company."
- Favio Vázquez, Principal Data Scientist, OXXO
"Business Science teaches the full data science spectrum from developing advanced models to deploying ML-powered web applications. This is real-world data science!"
- Beau Walker, Data Scientist, Liquid Biosciences // Beau Walker Consulting
"Business Science University is an excellent resource for learning data science. The HR 201 course does a great job of teaching how to communicate a business problem, how to execute investigative thinking to solve the problem, and properly structuring code for collaboration and reusability. Most importantly, I took away a repeatable methodology and project structure that can be used to solve future business problems using data science. This was well worth the investment."
- David Curry, CTO, Africa Talent Management
"Business Science created the life-altering packages and tutorials that got me into R"
- Jed Gore, Product Manager // R User, Sentieo
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 spoke with Kirill Eremenko, Founder of SuperDataScience, on the importance of giving back to the data science community! Listen to Episode 165 with Kirill and Matt!
Matt will give a talk on tibbletime and 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 tidyquant stickers!!!
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 gave a talk on HR Analytics: Using Machine Learning to Predict Employee Turnover
Matt spoke with Mike Delgado about HR Analytics, R and more! Check out the Facebook LIVE video here!
Matt presented on time series analysis including R packages tidyquant, timetk, sweep, and tibbletime.
New tools for performing financial and time series analysis within the tidyverse
