Data Science For Business: Course Now Open!

Written by Matt Dancho


We are pleased to announce that our Data Science For Business (#DS4B) Course (HR 201) is OFFICIALLY OPEN! This course is for intermediate to advanced data scientists looking to apply H2O and LIME to a real-world binary classification problem in an organization: Employee Attrition. If you are interested applying data science for business in a real-world setting with advanced tools using a client-proven system that delivers ROI to the organization, then this is the course for you. For a limited time we are offering 15% off enrollment.

What You Learn

Watch the 2-Minute DS4B Course Overview.


The course is large in scope, which is necessary to go into the level of detail to cover:

  • How to understand a business problem

  • How to tie data science to financial impact

  • How to code effectively for data science

  • How to use the tidyverse and program with Tidy Eval

  • How to implement data science project management frameworks

  • How to manage an analysis using an R Project

  • How to use H2O, LIME, and various other R packages that are amazingly useful

“It’s well worth the investment you or your organization are making. I designed this course after what I wished I had when I was first seeking to apply data science in business.”

Matt Dancho, Founder of Business Science

Course Launch Coupon: 15% OFF


DS4B Course Launch 15% OFF


Coupon Details:

  • To get 15% off, click the button above or visit Business Science University using promotional coupon code: DS4B15.

  • The coupon expires next Monday (5/7/2018). Hurry, don’t miss out!

Your Instructor

I’m Matt. I’m the Founder of Business Science, and I’ll be your instructor for HR 201. Check out a 1 minute video to learn more about me and how I can help you apply DS4B.


Tools And Techniques Used

We’ll apply the following tools and techniques using a real-world problem:

  • Business Science Problem Framework for data science project management

  • Costing attrition and developing data science code workflows in R

  • H2O for automated machine learning (AutoML)

  • LIME for black-box model feature explanation

  • Correlation Analysis for pre-modeling feature importance

  • Recommendation Logic for assisting executives and managers with data-driven decision-making

  • recipes for preprocessing data for machine learning algorithms

  • GGally and skimr for exploratory data analysis

  • Tidy Eval for programming in the tidyverse

  • And more!

There’s a lot that HR 201 offers. Learn more on the Course Homepage. Be sure to take a peek at the Course Curriculum to get a glimpse of what’s inside.

H2O Highlights

We’ll use H2O to generate a high performance classifier that predicts employee attrition.

H2O Leaderboard Visualization

We’ll measure the classifier performance using visualizations that data scientists and executives need.

H2O Model Metrics

What You Need To Get Started

A basic (novice) knowledge of R, dplyr, and ggplot2 is our expectation. We’ll take care of the rest. If you are unsure, there is a proficiency quiz to check your baseline. Also, there’s a 30-day money-back guarantee if the course is too difficult or if you are not completely satisfied.

Education Assistance

Many employers offer assistance to cover the cost of continuous education. Begin discussions with your employer immediately if this is available to you and you are interested in this course. They will benefit from you taking this course.

Start Learning DS4B Now

Enrollment in BSU is open. Enroll Now to take advantage of 15% OFF. The coupon expires next Monday! Time is limited!

DS4B Course Launch 15% OFF

About Business Science

Business Science specializes in “ROI-driven data science”. We offer training, education, coding expertise, and data science consulting related to business and finance. Our latest creation is Business Science University, a Virtual Workshop that is self-paced and teaches you our data science process! In addition, we deliver about 80% of our effort into the open source data science community in the form of software and our Business Science blog. Visit Business Science on the web or contact us to learn more!

Don’t Miss A Beat

Connect With Business Science

If you like our software (anomalize, tidyquant, tibbletime, timetk, and sweep), our courses, and our company, you can connect with us: