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Charleston, SC PASS Chapter 

 

 

 

Welcome

 

Welcome to the homepage of the Charleston PASS chapter, the SQL Server User Group for Charleston, SC. The chapter meetings are taking place the first Tuesday of each month.

The Professional Association for SQL Server is committed to empowering the SQL Server community to connect, share, learn, and be inspired through networking and knowledge sharing. The Association has played an active role in restarting and supporting the relaunch of the Charleston chapter. And, the local chapter leadership is committed to supporting the local SQL professionals.

The chapter meetings are to be held at Charleston Southern University in Charleston, SC - the link below to the Eventbrite page will give you the room number for each meeting.

CSU is located at 9200 University Blvd. Charleston, SC 29406 

Charleston PASS chapter meetings are FREE and open to all SQL professionals.

These monthly meetings will start around 6:00pm with a networking session (a.k.a. refreshments). Speakers will take stage at or shortly after 6:30pm. Please check back regularly for our updated meeting schedule.

Would you like to attend our meetings? You can join PASS for free here.

Thank you for your interest in the Charleston PASS User Group!

We look forward to seeing you at our next meeting!

Click on the link for directions to CSU.

Next Meeting

 The Next Meeting will be scheduled for 
June 30th 2017
eGroup Conference Room 
482 Wando Park Blvd
Mount Pleasant, SC 29464

Overview:

Top Data Science Algorithms Every Data Pro Should Know: Level 300-400
Speaker: Kevin Kline

Synopsis: Algorithms have become part of our daily lives and can be found in almost every aspect of well-run businesses. Gartner calls this the “algorithmic business” and it is changing the way data professionals (should) write applications and analyze data. There are a vast number and kind of algorithms available for almost any scenario in, many of which you can even purchase from an algorithm marketplace. But if you haven’t spent much time working with algorithms, which ones should you learn. In this fast-paced session, we’ll discuss the top 12 most commonly used and most universally useful data science algorithms from linear regressions to k-means clustering. We’ll give an overview of each algorithm, show its best use case, and even demonstrate how it can be implemented in SQL, R, and Excel.



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