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Data Science For Business (HR 201)

Solve a real-world employee turnover problem with H2O automated machine learning & LIME black-box model explanations

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If you really want to learn how to apply Data Science For Business (DS4B), then this is the right course for you!


There are a lot of data science courses out there. However, none have solved this problem that we have seen time and time again in organizations:

A gap exists between the data science team and the organization's goals.

At Business Science, we help organizations bridge this gap. Now what we've done is taken our tools and techniques and made them available to any data scientist that is serious about applying data science for business.

Solution: Now any data scientist has access to our tools and techniques.



Things We Do Differently


  • We focus on solving problems first and foremost! Rather than just teach tools, we teach how to solve problems using a robust set of tools that, when combined with problem-solving techniques, create solutions.
  • We focus on ROI-driven data science - Organizations want to save money and grow. Our course gets results that improve operational excellence returning value to the top and bottom lines. This makes organizations happy. Further, we expose how to calculate ROI so organizations are really happy!
  • We teach from consulting experience - We routinely get positive ROI for our clients
  • We focus on high impact problems - In other words, problems that, when solved, yield significant ROI
  • We focus on advanced, cutting-edge machine learning algorithms only - You learn to apply the most advanced tools available
  • We focus on systematic data science frameworks - These are client-proven to drive ROI for your organization
  • We create value for you (THE DATA SCIENTIST) and the business (YOUR ORGANIZATION) at the same time - You, learn cool, high-tech algorithms and how to code like a rockstar. Your organization gains a knowledgeable, ROI-focused data scientist. Win-Win!



"If you've been looking for a program like this, I'm happy to say it's finally here! This is what I needed when I first began data science years ago. It's why I created Business Science University."

- Matt Dancho, Founder of Business Science



What You Get


Watch our Data Science For Business (HR 201) Course Trailer!


HR 201 is part of our new online learning platform, called a Virtual Workshop. The Virtual Data Science Workshop teaches you the Business Science Consulting Process at a fraction of the price of an on-site Data Science Workshop. You get:

  • A play-by-play strategy to yield Return-On-Investment (ROI) for your company
  • Hours of expert instruction in how to apply data science for business from the Founder of Business Science
  • PDF Frameworks & Excel Calculators that gain buy-in from Executives when pitching your Data Science Project
  • A complete walk-through of an end-to-end data science project by solving a real-world problem


Employee Attrition: A High-Impact Problem


Employee turnover (attrition) can be a $15M/YEAR COST to an organization that loses on average 200 high performing employees per year. Predicting turnover is at the forefront of Human Resources (HR) needs in many organizations. Further, HR departments typically have historical data on employees making this a perfect problem for DATA SCIENCE FOR BUSINESS.

Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition.

In Data Science For Business (HR 201), you'll learn how to:

  • Use People Analytics (Human Resources) data to predict and explain employee turnover
  • Implement the Business Science Problem Framework and CRISP-DM to tackle any organizational data science problem
  • Perform automated machine learning with H2O
  • Explain complex, black-box machine learning models with LIME



The Ultimate Machine Learning Course For Business


Learn how to apply the Business Science Problem Framework & CRISP-DM through an end-to-end data science for business project:


As a data scientist you need to be able to build custom functions to get things done. Learn Tidy Eval, a new programming framework for dplyr and other tidyverse packages, to build reusable functions that the data science team can scale.

Learn H2O, a high-end machine learning library, by building an extremely predictive machine learning employee turnover classifier.


Use LIME to explain black-box models.



Use the recipes package to more efficiently turn raw data into ML-ready datasets.

Use skimr and GGally to understand the data by data type and visually.

Use Correlation Analysis to understand feature importance prior to modeling.


Watch self-paced video lectures walking you step-by-step through the entire data science process with expanded discussions on each topic according to your time-table.

After taking this course, you'll have an excellent understanding of the data science process and how you can immediately apply within a business context to yield positive ROI for your organization.

ENROLL NOW TO LEARN HOW TO CONFIDENTLY APPLY DATA SCIENCE FOR BUSINESS


Get started now!



Testimonials


We think it's great, but don't just listen to us. Here's what other students have to say about Data Science For Business (HR 201).

"Business Science University gives a solid approach to understanding what a Data Scientist needs to do to transform an idea into a full solution, also taking into account that this process must return the investment for the company and add value. Mixing both theory and programming you’ll learn with real-world examples the bulletproof workflow that the successful company founded by Matt Dancho use to do Data Science. This is not another course, this is the ultimate ecosystem for you to develop and improve as a data scientist for your organization."

- Favio Vázquez, Principal Data Scientist, OXXO

"I have been going through books & MOOC's to skill-up my data science game. HR 201 is the first course that gives me a CLEAR FRAMEWORK to apply data science to Business Intelligence! It gives me the opportunity to bring data science to my organization and clearly articulate the business value proposition throughout the process. All that with the help of bleeding-edge open source tools (H2O, LIME, RStudio)"

- Renaud Liber, Business/Data Analyst - BI, Napoleon Games NV

"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

Sunita Kenner, Senior Manager: Data/Business Analytics at Extensis.

Feedback provided in... R (Awesome!!)

Class Curriculum


  Welcome to Data Science For Business (HR 201), Predicting Employee Turnover with H2O & LIME!
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  Prerequisites
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  Chapter 0: Getting Started
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  0.1 READ THIS FIRST
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  0.4 Frameworks
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  Chapter 1, Business Understanding: BSPF & Code Workflows
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  1.6 Chapter Code
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  Chapter 2, Data Understanding: By Data Type & Feature-Target Interactions
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  2.1 Setting Up For Data Understanding
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  2.4 Challenge #2: Assessing Feature Pairs
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  2.5 Chapter Code
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  Course Survey #1: Your Feedback Is Important!
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  Chapter 3, Data Preparation: Getting Data Ready For People & Machines
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  3.1 Data Preparation Setup
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  3.5 Challenge #3: Correlation Analysis
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  3.6 Chapter Code
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  Chapter 4, Modeling Churn: Using Automated Machine Learning With H2O
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  4.6 Chapter Code
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  Chapter 5, Modeling Churn: Assessing H2O Performance
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  Chapter 6, Modeling: Explaining Black-Box Models With LIME
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  Chapter 7, Modeling: Creating A Recommendation Algorithm
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  Chapter 8, Evaluation: Calculating The Expected Value Of A Policy Change
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  Chapter 9, Deployment: Next Steps
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Your Instructor


Matt Dancho
Matt Dancho

Founder of Business Science and general business & finance guru, He has worked with many clients from Fortune 500 to high-octane startups! Matt loves educating data scientists on how to apply powerful tools within their organization to yield ROI. Matt doesn't rest until he gets results (literally, he doesn't sleep so don't be suprised if he responds to your email at 4AM)!


HR 201 Content Release Schedule


The content for this course is being released following a drip schedule. The first 50% of the course is available at launch. Subsequent lessons are to be released following the schedule outlined in the Class Curriculum.


Prerequisites


Refer to the free Test Your Baseline Knowledge Check in the Class Curriculum to determine your fitness for this course. As a prerequisite, the learner is expected to:

  • Be familiar with the R statistical programming language (e.g. have R setup on computer, have RStudio IDE working, have basic familiarity with R programming language)
  • Be familiar with the tidyverse (e.g. basic knowledge of dplyr and ggplot2)

Everything else will be taken care of!


Business Discounts


Please contact Business Science to find rates for multiple users & organizations.

How The 4-Course Virtual Workshop System Works


We use a hub-and-spokes model. HR 201 (200-series course) is the hub that serves as the base for each extension (300-series courses). This maintains a consistent theme across multiple courses by using the same business problem while focusing on the tools that data scientist's need to use in their day-to-day work.

There are several advantages to the hub-and-spokes model:

  • It is focused on solving a problem
  • It simulates the real-world
  • Each course stands-alone so you can take what you are interested in
  • Courses can be combined, which exponentially magnifies your learning

HR 201 is the first course in the 4-Course Virtual Workshop, and HR 201 is what you get when you purchase this course. The release schedule for the others is TBA (to be announced). More information is coming!

Next Steps: Take The Rest Of The Virtual Workshop Courses!


A data scientist can never stop learning. When this happens, plateau sets in, which is exactly what you and your organization cannot afford! (This is why Business Science provides data science coaching as a service!)

Don't plateau!

Continue with the rest of the Virtual Workshop to exponentially multiply your learning!


HR 301 (COMING SOON): Building A Shiny App (Employee Smart Scorecard)


The most effective means of improving your organization is by helping others make data-driven decisions.

A Machine Learning-Powered Web Application is 100% the best way to do this. (Trust us, we've seen the change it makes in an organization.) Building a Machine Learning-Powered Web Application is easier than you think with Shiny!

You can further your capabilities by taking our integrated HR 301 course, which implements our H2O model in a Shiny Web App for interactive employee attrition prevention recommendations. We call it the Employee Smart Scorecard!


HR 302 (COMING SOON): Communicating With RMarkdown Reports


Executive communication makes or breaks a data science project. Further, data science can be extremely valuable in customer communication.

In HR 302, you'll use RMarkdown to communicate the story through reports and presentations designed for your target audiences: executives (global decision makers), managers (local decision makers), and data science peers (reproducers / reviewers). Additionally, you'll learn about parameterized Rmarkdown reports, which is perfect for automated reporting.


HR 303 (COMING SOON): Building An R Package


Data scientists need to be able to create packages to simplify workflows and to keep the Data Science Team's analyses consistent.

Build an R package, tidyattrition, in HR 303. The tidyattrition package follows the workflow developed in the Business Understanding phase. Learn to turn custom tidyeval functions such as assess_attrition(), calculate_attrition_cost(), and plot_attrition() into an R package that others can use!

Frequently Asked Questions


Who is this course for?
This course is for anyone with R programming experience seeking to apply data science for business (DS4B). It's not for complete beginners! With that said, a basic understanding of R, dplyr, and ggplot2 will be sufficient to complete the course. Although the concepts are advanced, the hard stuff is explained such that a novice/intermediate learner will pick it up!
This course is part of a "4-Course Virtual Workshop". What are the other courses?
We are currently working on 3 other courses. These are extensions of HR 201: - HR 301: Shiny App - We build this using the H2O and LIME model / output and the recommendation algorithm we build. - HR 302: Reporting / Communication - We go through communication and reporting for executives and the organization. We focus on Rmarkdown and also parameterized reports that can be deployed. - HR 303: R Package, tidyattrition - We create an R Package called tidyattrition that contains streamlined attrition workflow functions for creating the project directory, assessing attrition, and plotting attrition cost.
Does the current outline cover all 4-courses or just the HR 201 Course?
The current outline is just for the first. In the first course, we go through the BSPF problem framework, understand the business, understand the data, preprocess the data and perform a pre-modeling correlation analysis, develop H2O models, evaluate H2O modeling performance, use LIME to understand why the black-box model selects what it selects, develop recommendation logic, and evaluate the business value. That's what DS4B HR 201 is about.
Is the price listed just for the first of four courses or for the entire four part workshop?
The prices listed is for the first course, which is the flagship (hub in hub-and-spokes). Other courses will be offered at an additional charge. These are all standalone courses so you can select which ones you want a la carte and you will receive all materials to complete that course independent of the rest. However, they all use the same data and theme for solving a singular problem, which is beneficial for practitioners in the real-world.
Should I take this course even though it deals with an Employee Attrition Problem, which is not in my domain?
Absolutely. The course uses a real-world example of an HR problem, which may not be specific to all Data Science For Business (DS4B) needs. However, the system and tools used are applicable to ANY BINARY CLASSIFICATION PROBLEM (for example, customer churn, fraud detection, any yes/no problem!). The real value is in the tools and techniques used - You will learn our process along with advanced tools!
Will this course be beneficial if I have a non-traditional background (e.g. Sales, Finance, Sociology, Marketing, Operations, Classical Music)?
Look, my background is non-traditional (mechanical engineering). If I can do it, you can do it. As long as you are (1) interested in data science, and (2) interested in applying it to business, then you are the right candidate. You should however take a basic course that teaches R, dplyr, and ggplot2 so you have the minimum skillset. Refer to the quiz: Test Your Baseline.
What will I learn beyond the basics?
You will learn a ton: H2O, LIME, recipes, and much much more! In addition to the course overview, the course has free-previews. Take a peek and see if you like the content.
I am finishing my degree. Will this course help me?
Yes. The course bridges the gap between academic data science and real-world data science in a business context. This makes it excellent, if not essential, to your ability to hit the ground running when you transition into an organization.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
Are these courses self-paced, asynchronous?
All courses are completely self-paced. You can take them on your own schedule. The content uses pre-recorded video, and we will handle comments as we receive. The courses can be taken asynchronously. However, most will want to take HR 201 first before proceeding into the 300-series courses since this provides a foundation of the business problem and exposure to H20 and LIME.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
Will the course continue to be updated with new content?
Yes - I have a number of new sections planned, and I will be actively improving to make sure the content is perfect! Your membership includes lifetime access as the course evolves.
What is the geographic availability for the course? Will it work outside US?
Yes - The course can be taken from virtually any geographic location that is permitted to trade with the US. This should cover 99.9% of the world population!
I love the course, but I can't afford it. What options do I have?
The value the course will deliver is exponentially more than its price. You have two options. First, your employer may offer education assistance. This is highly recommended because the education will ultimately benefit them... financially! (See the $15M/year problem lecture). Second, if self-funded, view it as an investment. What you are getting will help you get a job, develop a portfolio of experience using cutting-edge tools and processes, and manage a data science project the way we do!
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund. Signup is risk-free!
Do you offer a payment plan?
Yes - We have a 3-payment monthly plan at a slightly higher rate. This option spreads the payments over three months.

Get started now!