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UC Center for Business Analytics
Carl H. Lindner College of Business


website: http://business.uc.edu/analytics-center
contact: UCBusAnalytics@ucmail.uc.edu

10% OFF AUGUST ANALYTICS TRAINING

ONLINE WITH LIVE INSTRUCTORS

 
Introduction to Advanced Power BI InformationIntroduction-Advanced: Analyzing Data with MS Power BI (double length training) Aug 1-24

Microsoft Power BI is a business intelligence platform that provides business users with tools for aggregating, analyzing, visualizing and sharing data. Power BI's user interface is fairly intuitive for users familiar with Excel and its deep integration with other Microsoft products makes it a very versatile self-service tool. A free version of Power BI is intended for small to midsize business owners; a professional version called Power BI Plus is available for a monthly subscription fee.  

Major topics covered in this training are: importing, preparing, modeling, visualizing and analyzing data, plus how to deploy and maintain deliverables. This is a double (8 session) length course combining Introduction and Advanced Power BI materials in a training designed to cover all the topics that one would need to take the Microsoft Data Analytics with Power BI Certification Exam.


There are no pre-requisites for this course.


10% off with code AUGPBI10  Click here for details   
 

Intermediate Python InformationIntermediate Python for Data Science
Aug 3-11

 
This workshop builds on concepts taught in the introductory course (i.e. the basics of Python and its data science stack). Students will learn how to integrate control flow into their code, write their own reusable functions, and build a variety of models using the cutting-edge scikit-learn library. They will also get more exposure to practical concerns of using Python in a reliable and scalable way: how to manage multiple Python environments using conda, what other packages exist in the data science ecosystem, and the basics of running Python from the command line.

PREREQUISITE: Attendance at the Introduction to Python for Data Science training or previous experience using Python for data analysis in a professional environment.  Please contact us if you have questions.

10% off with code AUGPY10   Click here for details


For a complete analytics training schedule and certificate details, visit
www.business.uc.edu/analytics-training
 
If you have any questions about  UC Center for Business Analytics membership, analytics training, student projects, or events, please reach out to ucbusanalytics@ucmail.uc.edu

 
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