The stores of data relevant to our organizations, customers, operations and goals have never accumulated at a faster pace or to a larger volume. Likewise, the need for intelligent data analysis has never been greater. Vast reserves of value hide within huge and sophisticated datasets. It can be a challenge to find that value – but if we can tease out the insights and answers lurking within our information, they can be translated into a host of opportunities and advantages. With the right skills, only your own creativity limits how you can leverage your stores of data for better decisions, analytics, and prediction. Fortunately, today's data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis. This hands-on course advances your data analysis skills into the realm of real-world data science. If you have a working familiarity with R, our three-day class equips you to go back to work with real-world predictive modelling and basic machine learning techniques. Led by expert data scientists, you will work in R to lay your data science foundation and learn techniques that allow you to leverage your data in sophisticated, powerful new ways.
Who Can Benefit
Intermediate level data analysts interested in expanding their data mining processes. We emphasize Data Foundation and Machine Learning concepts. All exercises are performed in R.
- Some knowledge of data analysis
- Basic knowledge of descriptive statistics
- Some experience with R