There are only two more weeks in the course! This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis. The optimization and sensitivity analysis will teach you how to identify the maximum bu... [Read more...]

This is a fun part of the course where you learn how to add value to the business by providing ROI-Driven Data Science! Week 8 will teach you how to calculate a simple policy change - Implementing a No Overtime Policy. You will calculate the expected ... [Read more...]

Teaching R is our mission at Business Science University because R is the most efficient language for exploring data, performing business analysis, and applying data science to business to extract ROI for an organization. R has an amazing ecosystem of ... [Read more...]

After week 7, you will be able to communicate confidently which model features are the most important. Interpretability is a very important topic in machine learning. The automated machine learning tool, H2O, makes a data scientist’s life easier, ho... [Read more...]

Summary The data science community, Kaggle, recently announced the Google Analytics Customer Revenue Prediction competition. The competition uses data from the Google Merchandise store, and the challenge is to create a model that will predict the tota... [Read more...]

Welcome to week 6 of the Data Science with R Course Series. This week’s curriculum is an extension of week 5, where we started analyzing model performance. This week will cover the following: Learn techniques to communicate and measure model pe... [Read more...]

The culmination of the previous weeks has been preparation for machine learning modeling. At this stage, we have defined the business problem, we’ve explored and understood how the data relates to the business problem, and we’ve preprocessed the da... [Read more...]

This week in the Data Science With R Course Series we’ll cover Data Preparation, where we structure the data in preparation for modeling. This week’s modules will teach you: How to create a preprocessing pipeline with the recipes package How ... [Read more...]

From Executive Business Leadership to Data Scientists, we all agree on one thing: A data-driven transformation is happening. Artificial Intelligence (AI) and more specifically, Data Science, are redefining how organizations extract insights from their ... [Read more...]

Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time ... [Read more...]

Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time ... [Read more...]

Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time ... [Read more...]

Artificial intelligence (AI) has the potential to change industries across the board, yet few organizations are able to capture its value and realize a real return-on-investment. The reality is that the transition to AI and data driven analysis is diff... [Read more...]

Data Science is an amazing field of research that is under active development both from the academia and the industry. One of the saddest facts in the real-world is that most data science projects in organizations fail. Here I’ll present a new iterat... [Read more...]

Model interpretability is critical to businesses. If you want to use high performance models (GLM, RF, GBM, Deep Learning, H2O, Keras, xgboost, etc), you need to learn how to explain them. With machine learning interpretability growing in importance, s... [Read more...]

We were very excited when Home Credit teamed up with Kaggle to host the Home Credit Default Risk Challenge. Default risk is a topic that impacts all financial institutions, one that machine learning can help solve. We decided to flip the goal of this c... [Read more...]

As advanced machine learning algorithms are gaining acceptance across many organizations and domains, machine learning interpretability is growing in importance to help extract insight and clarity regarding how these algorithms are performing and why one prediction is made over another. There are many methodologies to interpret machine learning results (i.... [Read more...]

The goal is simple: to educate and empower future data scientists so they can help organizations gain data-driven results. This is why it was a no-brainer when the opportunity came up for Business Science to partner with Method Data Science, the go-to data science accelerator for aspiring data scientists. Now ... [Read more...]

I’m pleased to announce that we released brand new content for our flagship course, Data Science For Business (DS4B 201). The latest content is focused on transitioning from modeling Employee Churn with H2O and LIME to evaluating our binary classification model using Return-On-Investment (ROI), thus delivering business value. ... [Read more...]

One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI. As a data scientist in an organization, it’s of chief importance to show the value that your improvements bring. In this article, we highlight three reasons you need ... [Read more...]