Data Analysis
01:05:32
59:51In this meetup, we provide a quick introduction to online experimentation and A/B testing.
To keep the tutorial self-contained, we will first give an overview of stats fundamentals needed to understand A/B testing. We then explain how A/B testing is …
19:03Data Exploration – Now that we have Azure Machine Learning Studio setup, let’s begin an end-to-end data exploration science project in Azure Machine Learning. We’ll choose the flight delay data, and use it to predict whether not a flight will …
02:28:52In this full length segment we discuss A B testing:
Online experimentation is perhaps the most misused of data science techniques. We will walk through the best practices for designing and evaluating A B and multi-variate tests. We discuss how …
8.7Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of Things (IoT) architectures. Even Enterprise Resource Planning (ERP) systems produce …
9.001:36:11Lecture Starts at: 8:25
Business data analysis presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. …
9.301:29:24Microsoft’s Power BI is a powerful technology for quickly creating rich r visualizations. Power BI has many practical uses for the modern data professional including executive dashboards, operational dashboards, and visualizations for data exploration/analysis.
Microsoft has also extended Power BI …
