REGISTER

 

 

CHECK BACK SOON

PLAN YOUR ESCAPE

DATA SCIENCE

CLOUD-BASED APPLICATIONS WITH THE SALESFORCE PLATFORM

 

 

Description of the Class:

This workshop will provide a basic introduction into the Salesforce Platform in regards to creating custom data models powered by business logic in the cloud.  Attendees will see how they can use a free Developer Edition instance to create enterprise applications directly through a browser.  There will be a demonstration of how to add business logic both declaratively and programmatically to apply validation rules, event based logic and background processes.  By the end of the workshop, attendees will see a functional application complete with APIs and a mobile user interface.

 

The workshop will be mostly demonstration followed by a walkthrough of Trailhead - a free online learning framework for expanding Salesforce-related skills.

 

Why you should attend:

Being able to develop and administer on the Salesforce Platform is a highly marketable skill.  In a few hours this workshop will give a foundation to help understand how applications are built in the cloud with Salesforce for existing enterprises or the Salesforce AppExchange.

 

Who Should Attend:

Anyone with an interest in building cloud based applications or getting an introduction into the enterprise applications on Salesforce.  A background in programming will help follow some of the topics, but not most.

 

Prerequisites:

There are no specific prerequisites.

 

Technology Requirements:

None required.

HANDS ON WITH WATSON ANALYTICS

 

Description of the Class:

The Watson Analytics Workshop is designed for professors and students as a way to introduce you to the revolutionary approach to analytics that is smart data discovery. Industry is demanding it and here is an opportunity to learn from Watson Analytics experts how you can benefit from learning about guided exploration, automated predictive analysis, and effortless dashboard creation.

 

Technology Requirements:

Please bring your own laptop (please be sure it is charged) and create a Watson Analytics account prior to the workshop at:

 https://watson.analytics.ibmcloud.com/

TO LEARN MORE: Spend an hour with Watson Analytics:

http://WatsonAnalytics.com

BRING DATA TO LIFE WITH TABLEAU

 

Description of the Class:

Bring your data to life with Tableau. Come learn how to harness the power of visual analytics and create interactive charts, graphs, and maps and then combine them together on an exploratory dashboard. In just this one session you will get an overview of what Tableau is and learn how to take a data set and create an interactive data visualization from it.

 

Learn Why Tableau Can Help Your Career:

More and more employers are looking for specialized data skills; Tableau is one of the most sought after software programs by employers. In this session you will learn how to get started using Tableau.

 

Who Should Attend:

This session is open to any and all comers. Please come armed with a computer connected to the internet.

 

Prerequisites:

There are no specific prerequisites.

 

Technology Requirements:

If you would like to follow along, please download a copy of Tableau Public from www.public.tableau.com. Then come to class with your computer

FUNDAMENTALS OF R PROGRAMMING

 

Description of the Class:

Over the last decade, there has been exponential growth of data – the data we create and copy is doubling in size every two years (data from sensors, digital artifacts, social media content is exploding)! Focus on Data Science has significantly increased as companies look to mine valuable information hidden in tons of data to remain competitive and relevant.  We are living in the world where Facebook business model relies on user data, Uber business model does not require owning any cars – data is the new currency and gaining valuable insights from data is the need of today’s enterprise.

 

R is one of the most popular programming language among Data Science community. R is a statistical programming language with object oriented and functional programming structure that helps statisticians and data scientist in intricate and complicated data analysis to gain business insight.

 

Why You Should Attend:

Come to this session to learn fundamentals of R programming – basic data structure, reading and writing data, creating basic plots to visualize your data. Attendees will finally put individual pieces into a data science experiment to perform predictive analysis. Session will be a hands-on programming session and will leverage R Studio and Microsoft Machine Learning platform.

 

Who Should Attend:

Anyone with interest in Data Science technology would benefit from this session as they will see the magic R programming can create in the world of data where computers are getting better at predicting outcomes.

 

Prerequisites:

The course will cover basics of R programming. You do not need to have background in statistics. Quick-start solution will be provided for attendees who might need “extra” help in finishing labs or final exercise.

 

Technology Requirements:

Please bring your own laptop (be sure it is charged).

HOW TO BUILD YOUR OWN COGNITIVE IoT APP

 

Description of the Class:

Learn the platform for all of your Internet of Things development, Cognitive computing and Cloud application development needs. Learn about IBM's Watson IoT platform on IBM Bluemix that will help you rapidly connect your devices, and also infuse capabilities around device management, information management, real-time analytics, risk management and cognitive computing. Create and deploy your IoT application on the cloud using Node-Red with ease. Work with simulated devices and sensors, visualize the data, perform real-time-insights, send data to dashDB and Watson Analytics, enhance your application with Watson apis and Weather Insights.

 

Prerequisites:

This workshop is designed for all audiences and skill levels, but a laptop is recommended for this session.

 

Technology Requirements:

Please bring your own laptop, charged, and with network connectivity capabilities.  Create a Bluemix account prior to the workshop at: https://bluemix.net

 

GETTING STARTED WITH PYTHON

 

Description of the Class:

Over the last decade, there has been exponential growth of data – the data we create and copy is doubling in size every two years (data from sensors, digital artifacts, social media content is exploding)! Focus on Data Science has significantly increased as companies look to mine valuable information hidden in tons of data to remain competitive and relevant.  We are living in the world where Facebook business model relies on user data, Uber business model does not require owning any cars – data is the new currency and gaining valuable insights from data is the need of today’s enterprise.

 

Python is one of the commonly used programming language among Data Science community. R is a statistical programming language with object oriented and functional programming structure that helps statisticians and data scientist in intricate and complicated data analysis to gain business insight.

 

Why You Should Attend:

Come to this session to learn fundamentals of Python programming – basic data structure, reading and writing data, creating basic plots to visualize your data. Attendees will finally put individual pieces into a data science experiment to perform predictive analysis. Session will be a hands-on programming session and will leverage one of the Python IDE and Microsoft Machine Learning platform.

 

Who Should Attend:

Anyone with interest in Data Science technology would benefit from this session as they will see the magic Python programming can create in the world of data where computers are getting better at predicting outcomes.

 

Prerequisites:

The course will cover basics of Python programming. You do not need to have background in statistics. Quick-start solution will be provided for attendees who might need “extra” help in finishing labs or final exercise.

 

Technology Requirements:

Please bring your own laptop (be sure it is charged).

ARTIFICIAL INTELLIGENCE—BUILD A BOT

 

Description of the Class:

The Microsoft Bot Framework and Cognitive APIs provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.  Microsoft Cognitive Services lets you build apps with powerful algorithms using just a few lines of code.

 

Who Should Attend:

Anyone with interest in artificial intelligence. Come to this session to learn how to build a bot.

 

Prerequisites:

Little to no programming experience required.

 

Technology Requirements:

Please bring your own laptop (be sure it is charged).

“I HAVE A DATA FILE, NOW WHAT?”

EXTRACTING & CLEANING DATA WITH PYTHON

 

Description of the Class:

Data comes from a wide spectrum of sources, and in a wide variety of formats. About the only thing that you can count on is that it is likely to be dirty and it will not be the format you need. This workshop will deal with techniques to get that raw data cleaned and into a format you can use.

 

After considering the ways that the data might be acquired, from files and compressed archives to API’s and web scraping, we will deal with extracting data from common data formats, such as JSON, CSV, and XML, and their pitfalls. We’ll consider strategies for handling very large data sets and ways to handle common problems and defects in data files.

 

Why You Should Attend:

Much of the time spent in analyzing data is taken up in the mundane tasks like extracting, cleaning, and loading raw data. Reduce the amount of time you spend by learning and discussing best practices and efficient approaches to data extraction and cleaning.

 

Who Should Attend:

Anyone who needs to use Python to load and transform data from text, CSV, JSON, or XML files or the web.

 

Prerequisites:

People with at least beginning knowledge of Python and with experience and/or needs for handling and transforming raw data will get the most from this workshop.

 

Technology Requirements:

Please bring your own laptop (be sure it is charged).

ETHICAL HACKING FOR TEENS

 

Description of the Class:

Learn basic Ethical Hacking skills including how the “bad guys and gals” create viruses, use wrappers, crack passwords, and exploit vulnerabilities in network devices (computers, laptops, tablets and smartphones) and information networks.  This course will help participants understand how to protect themselves and others against malicious users on the Internet while exploring the world of information technology.

 

Example topics and labs:

  • Taking the mystery out of computers, network devices, and the Internet
  • How malicious hackers exploit weaknesses in technology
  • Creating a virus and infecting a target using a wrapper
  • Hacking everything but harming nobody
  • How the bad folks use key loggers

 

Hands-on experience with common security attacks (e.g. man-in-the-middle)

 

Sponsored by Northwestern University’s School of Professional Studies, this course combines interactive discussion and hands-on lab work in a fun, casual environment.

 

Who Should Attend:

Students between the ages of 14 and 19 interested in technology (or a career in  technology) will gain valuable insight into how the Internet works and how to hack  common weaknesses, which is key to understanding how mischievous hackers think and  work.  This course requires no previous experience, and all computers will be provided!

 

Prerequisites:

None.

 

Technology Requirements:

None.

 

SPORTS ANALYTICS

USING TRACKING DATA FOR SPORTS ANALYTICS WITH STATS

Description of the Class:

The “Moneyball” revolution coincided with a shift in the way professional sporting organizations handle and utilize data in terms of decision-making processes.  Due to the demand for better sports analytics, organizations are utilizing fine-grain tracking data to enhance their ability to analyze performances.  Two prime examples are the STATS SportVU system which has been deployed in the NBA and professional leagues in most European soccer Leagues.

 

In this workshop, I’ll first show a portfolio of recent research that utilizes tracking data for a host of applications. Specifically, I’ll show examples using SportVU data in basketball and soccer and Hawk-Eye data in tennis.

 

In the second part of the workshop, I will give step-by-step examples on how to:

i) cluster multi-agent tracking data

ii) build simple shot prediction models by crafting domain specific features and learn a simple classifier

 

Who Should Attend:

Anyone interested in sports, unstructured fine-grained data, and/or applied machine-learning will find this interesting.

 

Prerequisites:

It is not necessary to have a computer science or programming background as there will be lots of examples and visualizations. In some sections, brief descriptions of recent  published algorithms will be given, so an understanding of machine-learning/data-mining would be useful. Additionally, in the second part of the workshop, examples will be given in Python so some knowledge of it will be helpful

 

Technology Requirements:

Please bring your own laptop (be sure it is charged).

LET'S HAVE SOME FUN WITH NFL DATA

 

Description of the Class:

Working with IBM Data Science Experience and Apache Spark we will show data engineering operations that will shape and prepare NFL data for analysis. This will include augmenting an existing NFL data set with Weather Data for each of the games. After walking through the engineering and persistence of the data, we will show how to visualize and analyze the data to determine if correlations exist between players and the weather they play in. In this Workshop you will get an introduction to the power of Apache Spark, leveraging Python, SQL and simple statistics. You will also be introduced to options around persistence, data sources and visualization. IBM Data Science Experience free trials are available to follow along at your own pace and all content from the Workshop will be available for use via Github.

 

Prerequisites:

This workshop is designed for all audiences and skill levels, but a laptop is recommended for this session.

 

Technology Requirements:

Please bring your own laptop, charged, and with network connectivity and create a Data Science Experience account prior to the workshop at: http://datascience.ibm.com/

 

 

 

 

 

 

 

 

 

 

 

 

 

Join us May 6th, 2017 for the Escape Data Science and Sports Analytics Conference in Chicago, IL where we will "Learn by Doing."

 

Brought to you by Northwestern University and Robert Morris University.

Contact Info

Northwestern University

Dr. Faisal Akkawi

f-akkawi@northwestern.edu

 

339 East Chicago Avenue Chicago, Illinois 60611

Share Escape

Facebook

Twitter

LinkedIn

Google+

Email