Introduction to R for Data Scientists

R is a functional programming environment for business analysts and data scientists. It’s a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It’s the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they’ve…

Mastering R for Data Scientists

R is a functional programming environment for business analysts and data scientists. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they've pushed Excel past its limits.

Big Data: Turning Data into Profits

It goes by a lot of names and a lot of acronyms and is clouded in mystery and seemingly unapproachable concepts. The point of all of it in a business sense is actually extremely clear: How can we better anticipate and serve the needs of our customers? How can we maximize our data and convert…

Hadoop for Developers: Introduction to Hadoop Development

Introduction to Hadoop Development is a five-day, lab intensive Hadoop course for developers. Students will learn how to use Apache Hadoop and write MapReduce programs. Students will begin with a quick overview of installing Hadoop, setting it up in a cluster, and then proceed to writing data analytic programs. The course will present the basic…

Advanced Hadoop Development: Real World Hadoop in the Enterprise

Real World Hadoop in the Enterprise is targeted towards the Java Developer and assumes working knowledge of Java programming in Eclipse and comfort in a Unix shell environment. We will go well beyond the “Hello World” word-count example into practical, applied uses of Hadoop in large-scale real-world scenarios, including fraud detection, algorithmic trading, and data…