Tuesday, February 9 • 4:00pm - 6:30pm
Hands on IoT: Building IoT Cloud Services … Visualization, Analysis, Analytics

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In the future, it’s estimated that 50 billion devices will be connected to the Internet.  Come learn the basics Internet of Things (IoT) cloud services using Microsoft Azure.  We’ll show you hot to deploy a website that provides real time visualization of the data stream.  You’ll use data analysis tools to do simple analysis of your data.  Finally, we’ll use our data and introduce predictive analytics concepts using Machine Learning.  In this session, we’ll focus on:

  • Web Based Visualization:  You will create a shareable dashboard which visualizes the live data stream.
  • Exploratory Data Analysis:  You will use R Studio to do an initial analysis of your data and rework the device code such that the streamed data is more accurate.
  • Predictive Analytics:  You will use the collected data to predict likely missing values in the instance of a sensor failure.


This session is perfect for anyone in technology, developers, makers, or tinkerers.  No background experience is needed but bring your imagination and your laptop (Windows preferred).


Also, be sure to check out our Monday session, Hands on IoT:  Connecting Sensors & Machines to the Cloud … Sensors, Data Hubs, and Data Streaming,” where we will will learn the basics of IoT with sensors, data hubs, and data streaming.

Presented by Microsoft (www.microsoft.com).

 ================ February 7th Update:  ================

 University of Tampa, Lowth Entrepreneurship Center, 820 West North A. Street, 8th Floor, Tampa, FL 33606.

We’re happy that the class is so popular and we are at capacity, but we do want as many people to attend as possible.  The room we have will accommodate additional class members, so please come and participate, even if you are on the waiting list.  Keep in mind that we have enough instructors to handle 35 students, so for those on the waiting list, our instructors will most likely not have the capacity to get outside of the 35 that have signed up.  However, there will be lot’s to learn just by coming and observing the class, so we invite everyone to come.  The Monday night session will be using a IoT materials kit, and we will have a limited supply of those, so preference will go to those who are registered for the class.

Windows and Macs Laptops (Windows preferred):
Please make sure that you bring your laptops and that you are ready to learn.  Monday night will be working with the Raspberry Pi devices to build an IoT sensor hub.  This will utilize some software and tools that are Windows based, so it is best to bring your Windows laptop.  On Tuesday night, most of the work will be done using the Microsoft Azure services, which are cloud based and can be done using a Windows or Mac device.  

Parking and Logistics:
This session is being held at the beautiful Entrepreneurship center on the University of Tampa campus.  The address is:  University of Tampa, Lowth Entrepreneurship Center, 820 West North A. Street, 8th Floor, Tampa, FL 33606.

Thomas Garage: Located on North A. Street.

 •   From N. Boulevard go east on North A. Street
 •   Turn left into Thomas Garage
 •   Visitor parking available on the 1st Floor
 •   Reserved parking spots on the 7th Floor

Entrepreneurship Center:  Located on the corner of Kennedy and N. Boulevard.

 •   From Thomas Garage
 •   Cross North A. Street (brick road) to entrance of Center
 •   Follow the long hallway
 •   Elevators will be on your left
 •   Proceed to the 8th Floor (Lowth Entrepreneurship Center)

Google Map: https://www.google.com/maps/@27.9455514,-82.4706573,17z


avatar for David Crook

David Crook

David Crook is a developer evangelist focused on data and embedded systems. As a developer evangelist, David is focused on providing support to the Florida community from students, to startups and enterprise customers. Support ranges from technical reviews to building hands on content... Read More →

Tuesday February 9, 2016 4:00pm - 6:30pm EST
Lowth Entrepreneurship Center