Dear All -

We have five free registrations for the courses below. If you would like to sign up for one, please respond quickly in this link. I'll use the first-come-first-serve method in each of the following categories to select a total of 5 people if there are more than five submitters by 5 pm on Oct 6:
   Faculty
   Ph.D. student
   M.S. student
   Undergrad

No need to enter your name or email, as they will be automatically recorded based on your GMU email.

If you did not receive a confirmation by 7 pm on Oct 6,  you can still register yourself with a fee.

Thank you,

===========================
Jiayang Sun,  Professor, Chair and Bernard Dunn Eminent Scholar
Department of Statistics, George Mason University
Nguyen Engineering Building 
4400 University Dr.
Fairfax, VA 22030
703-993-9107 (Office Manager and Asst. to Chair)
703-993-4732 (Direct)


CONFIDENTIALITY NOTICE: This message, including any attachments, is intended for the sole use of the individual or entity to which it is addressed and may contain information that is privileged, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is strictly prohibited.  If you are not the intended recipient or have received this communication in error, please contact the sender immediately and destroy all copies of the material in its entirety, whether electronic or hard copy.  In addition, the Commonwealth of Virginia claims the right to monitor messages sent to and from this address at any time, without notice, and without my permission. Thank you.

From: Randy Freret <[log in to unmask]>
Sent: Monday, October 5, 2020 2:46 PM
To: Jiayang Sun <[log in to unmask]>
Subject: 5 Free * Top 10 Analytics approaches with Essential Data Science for Business
 

Hello Dr. Sun, hoping you are doing well!

 

Just a quick reminder to send me your 5 free registrations! Maximize the use of your 5 free slots by having them register for the entire series, Essential Data Science for Business (EDSB), the top 10 analytics approaches of the key topics that are used in business today.  This series kicks off this Wednesday, October 7, 2020 with EDSB: Data Science Workflows tutorial given by E. James Harner, PhD (West Virginia University/Interface Chairman). This first tutorial introduces data science tools supporting reproducible reports, using R markdown documents; extracting data from source systems; transforming data into a tidy form; loading data into a relational database; unsupervised learning methods, such as clustering and dimension reduction; and methods for analyzing streaming data. Affiliates may register five members of their department, students, or faculty, who can participate at no cost.  Having each person register for all 10 helps if you cannot make one/a few sessions as your registration will give you access to all of the sessions as they get posted.

 

How do I take advantage of this offer?  Simply send an email to [log in to unmask] with the full name and email address (please use .edu email to register) of your 5 free registrants.  After you hit send, you are done!

 

If you have more than 5 registrants interested, they can register themselves ($35 each) at this link: https://www.niss.org/event-series, 3rd series down (see event page). If someone outside of your 5 wants to register for the entire series, then see image below (go to individual page registration to see dropdown).  An email containing a link to the tutorial will be emailed to each registrant a day prior to the session and one hour prior to the session.  The 5 free can enjoy the entire series or just one tutorial.  Above the 5, each tutorial must be signed up for individually at the specific event page.

 

New NISS Series ¯ ESSENTIAL DATA SCIENCE FOR BUSINESS ¯ Tutorial Series Schedule:

1.      October 7, 2020 - James Harner: “Data Science Workflows”

2.      October 21, 2020 - Lee Wilkinson: “Descriptive Analytics, Exploratory Data Analysis, and Data Visualization”

3.      November 4, 2020 - Yanling Zhou: “Predictive Analytics and Machine Learning”

4.      November 18, 2020 - Victor Lo & Dominique / Jonathan Haughton: “Causal Inference and Uplift Modeling”

5.      December 2, 2020 - Ming Li: “Deep Learning”

6.      Winter 2021: “Prescriptive Analytics and Optimization”

7.      Winter 2021: “Unstructured Data Analysis”

8.      Winter 2021: “Social Sciences and Data Science Ethics”

9.      Winter 2021: “Domain Knowledge and Case Studies”

10.   Winter 2021 - Sam Woolford: “Analytical Consulting, Communication and Soft Skills”

 

We look forward to hearing from you!  Stay well & stay safe!

James L. Rosenberger, PhD

Director

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Once at individual event page, click on the Select A Registration Option and then check the box I’m Not A Robot and then click Register For This Event.

 

 

 

If you have any questions or need assistance, please feel free to reply to Randy at [log in to unmask]

 

Thank you!

Randy Freret

National Institute of Statistical Sciences

1750 K Street, NW, Suite 1100

Washington, DC 20006-2306

ph: (202) 800-3880

fax (202) 318-1400

https://www.niss.org/events

 

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