Held in the Student Union, the six-hour event introduced students and faculty to the Splunk software, Splunk’s organizational culture, and ways to get involved with the company and their various applications.
This workshop took beginners through the basics of writing a SQL statement against single and multiple previously created tables; it covered basic manipulation functions on columns and rows; and basic creation of tables.
This workshop included an overview of the Splunk Analytics Software, a presentation on the features available in the software and available resources at Gladstein Lab.
This workshop included an overview of the Tableau software platform and how it is used in visualization. We touched upon the best practices of data visualization and the strengths and weaknesses of telling a story with data using Tableau.
This workshop included an overview of the SAS platform, Money magazine’s most valuable salary-driving skillset. Students were exposed to the programming language, the tool suite, and how it’s used in industry.
This workshop included an overview of implementing a data model in a business environment and how to market an idea with data to back it up. Participants were exposed to how models can be incorporated in company campaigns and initiatives to provide tangible vale.
This workshop gave an in-depth overview of what Agile is, where it came from, how it works, and insight into the crucial implications it has for the world of data analytics, business intelligence, and data warehousing.
This workshop included an overview of projects and applications where analytics played a key role. Data security, Internet of Things, and machine learning concepts were introduced and looked at with different software tools.
The workshop included an overview of Predictive Models and how you can start to build them. It included an introduction to the core principles of predictive modeling, followed by a hands-on example using SAS JUMP to build your own models.
The workshop included an overview of how software can be used to find the patterns in different forms of text. Given an understanding of the fundamentals of predictive modeling practices we demonstrated its uses in various business situations.