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ADVANCED TABLEAU
Jan 30 & 31
 This two-day workshop on Tableau will cover intermediate and advanced topics.
Pre-requisite: Attendees should have attended previous "Introduction to Tableau" or have significant experience using Tableau in a professional environment.
Course content will include advanced chart types and business dashboards, advanced calculations in Tableau, using calculations, parameters, and table calculations, and other topics.
Details and Registration Link
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INTRODUCTION TO MS POWER BI
Feb 6 & 7
 Microsoft PowerBI is a business intelligence software rapidly gaining in popularity. Due to its comprehensive suite of data visualization and integration tools as well as its affordable pricing models, Gartner has ranked Microsoft PowerBI on par with Tableau.
The course is designed to be an introduction to Microsoft PowerBI and its use as a data analytics and reporting tool. There will be an even mix of lecturing and working sessions where the students will be developing their own dashboards with some sample data.
Details and Registration Link
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Introduction to Data Science with Knime
Wednesday February 19
Full day session - free and open to all - lunch provided
KNIME is a free and open-source data analytics, reporting and integration platform. A graphical user interface and use of JDBC allows assembly of nodes blending different data sources, including preprocessing (ETL: Extraction, Transformation, Loading), for modeling, data analysis and visualization without, or with only minimal, programming.
In "Introduction to Data Science with Knime”, we explore the basics of what is required in a data science project using Knime. We will start with data access and ETL/data manipulation, continue with the graphical exploration of data using the Javascript based nodes, to the training of a Machine Learning model. The goal is to show the different parts needed to build, apply, and deploy a predictor model. This session is open to all and is designed for those with little or no prior experience with Knime.
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SAVE THE DATE
featuring Real World Applications of Data Science and Business Analytics
The Analytics Summit will be held on April 6-8 at the Sharonville Convention Center. April 6 & 7 are training days and will feature 5 training classes (Advanced Power BI, Essentials of Machine Learning, Analytics for Executives, plus two more to be added).
On April 8, there will be two keynote speakers Jason Pontin (Contributing writer to Wired and Senior Advisor at Flagship Pioneering) and Jude Schramm (Vice President and CIO at Fifth Third Bank), an executive panel discussion, and five track sessions (Operations/Supply Chain Analytics, Financial and Risk Analytics, Marketing Analytics, Analytics Management and Leadership, and Analytics Technology) with three speakers in each.
Early bird rates until March 6
- $100 off Training only registration
- $100 off Event only registration
- $395 off combined registration (Training and Event at same time)
The event site is being updated regularly as we receive speaker information. Registration is now open
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ANALYTICS/DATA SCIENCE USER GROUPS
Knime User Group Meeting
Tuesday February 18
Free and open to all
University of Cincinnati, Lindner College of Business, Room 4330
We have a special session in February! Scott Fincher (Data Scientist from KNIME) is coming up from Austin to show off some new features to KNIME and also take us through musical lyric generation with LTSM models. These types of models can be used for all sorts of temporal prediction.
More information to come, but please RSVP early so we can get an appropriate room and food order!
Click here for details and to register
Cincinnati Machine Learning Meetup
February 20 6:00 PM
Free and open to all
University of Cincinnati, 1819 Innovation Hub, 2900 Reading Road
Encrypted Traffic Analysis with Machine Learning with Boyang Wang
About the Speaker:
Boyang Wang is a tenure-track Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Cincinnati.
Details and Registration
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For questions on Analytics event presenting or sponsorship opportunities, analytics training, or the Center for Business Analytics, please contact:
Larry Porter email or phone 513-556-4742
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