Business Science University

Learn from Virtual Workshops that take you through the entire Data-Science-for-Business process of solving problems with data science, using machine learning to create interactive applications, and distributing solutions within an organization.



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Become A Data Science Rock Star

We cover the full data science spectrum. You become a data science rock star! Sign up now. Classes start in 2018!


The Virtual Workshop Program


So you're interested in applying data science, machine learning and artificial intelligence in business applications? Then we can help.

Business Science University is the only online educator that focuses on full-scale Virtual Workshops using real-world applications. The Virtual Workshop teaches you the full data science spectrum using a specific, real-world example.

Benefits to learners:

  • Learn real-world applications in People Analytics (HR), Customer Analytics, Marketing Analytics, Social Media Analytics, Text Mining and Natural Language Processing (NLP), Financial and Time Series Analytics, and more!
  • Follow end-to-end data science projects learning systematic processes and how to perform critical analysis steps in detail at each project stage.
  • Use advanced machine learning techniques for both high accuracy modeling and explaining features that have an effect on the outcome!
  • Create ML-powered web-applications that can be distributed throughout an organization, enabling non-data scientists to benefit from algorithms in a user-friendly way!
  • Build your own online GitHub portfolio of data science projects to market your skills to future employers!

Become a data science rock star.

The Virtual Workshop Process


The Virtual Workshop Roadmap


We implement a hub-and-spokes model that is fully integrated and context-based. Each course in the Data Science For Business track utilizes the same problem while teaching critical tools needed. The R Track is shown below. The Python Track is coming soon.

Benefits of this approach:

  • The program is fully integrated: The learner uses multiple, in-demand tools to help solve many facets of a singular problem including prediction and explanation, building a web application, communicating results to executives, and creating packages to streamline the workflow.
  • The program is context-based: We focus on a large problem such as employee churn or customer churn. This is important because the context is:
    1. Applicable to all organizations: It's a churn problem, which all organizations face
    2. A high impact problem: Churn is extremely costly. Think about losing employees or customers. Organizations need both and may not understand how costly this problem is.
  • The program is end-to-end: Most other programs teach a tool. We teach the critical thinking and problem solving strategies to solve the entire problem.

The Virtual Workshop Timeline


We are working hard to get you learning as soon as possible. We have an intense schedule to complete 3 courses in 2018. We will have more courses (time series, text analysis, and more) coming in 2019 and beyond!


Testimonials


"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

Business Science University

Learn from Virtual Workshops that take you through the entire Data-Science-for-Business process of solving problems with data science, using machine learning to create interactive applications, and distributing solutions within an organization.



Get Started For Free Today!

FAQs


  • Will I get a certificate? Yes! Once you get close to 100% completion in a course, Business Science will review your progress and if everything is completed provide a signed certificate that can be provided to employers and added to your LinkedIn profile.
  • How long do we have access? How does lifetime sound? Forever.
  • How many courses do we have to take to become confident in data science for business? This is an extremely difficult question to answer as everyone is different. Our goal is to give you training on a cross-section of high-demand problems such as customer churn, social data and text mining, financial analysis, and more. In each problem, you will learn different skills such as deep learning, H2O, LIME, Shiny, and many others. We have tracks, which are courses related to each other. After taking one track, you may assess different tracks that teach you more skills to round you out. At the end, you should feel very accomplished and your confidence will be higher, but you will still need time applying the tools to become an expert.
  • What experience level do I need to be to take the courses? Each course has a section on its homepage and in the curriculum that explains what minimum prerequisites are needed. In addition, each course has a brief quiz that can be used to gauge if you are ready for the course. Free references are provided to learn the prerequisites. There is also a 30-day money back guarantee if you begin the course but don't feel that you comfortable with the material.
  • Can I use the course materials on my GitHub account? Yes, but we need to explain in terms of reproduction of work. You are free to add your work to your GitHub portfolio because this is an important part of your learning and will help in demonstrating knowledge to future employers. We draw the line at reproducing our course - Please do not attempt to reproduce our course content fully or in part in the context of teaching others to replicate our course. Business Science needs to earn a living too, otherwise the university goes away. See the Terms & Conditions for further discussion on this.