Please join us for the next NH TUG meeting to build a local New Hampshire based Tableau community, network with peers, and share Business Intelligence experiences, challenges and lessons learned. As a local New England based Tableau partner organizing the NH, ME and VT User Groups, we’ve seen first-hand the value community networking can have in supporting each other as a user group.
8:30 - 9:00 University of New Hampshire Analytics & Data Science Program- "10 Tips in 30 Minutes"
10 Tableau Tips in 30 Minutes is brought to us by students and faculty of the Analytics & Data Science program at UNH. One of the most critical skills that differentiates a good Data Scientist versus a great one is the ability to present the analysis and insights of their data for different audiences and stakeholders in a variety of formats (static/interactive/dashboards/infographics). Data Visualization, a course offered by the program, teaches students the visualization skills necessary to be effective Data Storytellers which helps engage their audience in a story about the data. The course focuses on concepts as well as hands-on experience of presenting data from initial concepts to final presentation by creating meaningful displays of quantitative and qualitative data to facilitate peer/managerial decision-making by reducing the cognitive load.
Read more about Analytics & Data Science program on the UNH website.
9:00 - 10:00 Rapid Miner - Advanced Analytics Use Case
Dr. YY Huang will be presenting a credit card fraud detection case walking users through the building out of the advanced analytics process. She will begin with data ingestion, walk users through data preparation, what machine learning algorithms are used, and ultimately how it can be published out to a data visualization tools such as Tableau, Qlik, and Power BI. YY will show how this can be built on his local machine, and then leveraging a server for increased computing and deployment capabilities. After walking the users the fraud detection, YY will give a brief introduction to Spark and show how the same model he built on her desktop can be run in a Hadoop/distributed computing environment. Time permitting, to showcase another use case of advanced analytics and machine learning, YY will walk users using machine learning to detect suspicious emails.
Speaker Bio: Dr. YY Huang, Data Scientist RapidMiner Inc – YY is a PhD Data Scientist who has spent the past three years consulting with clients around their data science needs. YY works with companies starting their advanced analytics journey helping them to prove out value with the models and deploy them out to the business. She has worked with customers across all verticals and use cases.
10:00 – 10:30 Tableau User Group Networking
Members of the New Hampshire User Group want to build relationships among the community to share challenges and ideas. This networking time is set aside to provide an open forum for idea sharing and informal Q&A.