Analytics Boot Camps

Series Contact: Ginger Baxter

Analytics Boot Camps are listed for the current calendar year and will be posted to the website when they become available. Advance registration is noted where applicable. If you have any questions about the schedule or attendance, please email the organizer(s) above.

If you’re looking for a previous event in this series, head to the Archive Page 

Jan
13
Fri
2017
Hadoop Boot Camp @ BH 306 @ BH 306
Jan 13 @ 1:00 pm – 4:00 pm

Instructor: Péter Molnár
Dates: January 13, January 14, January 20, January 21, January 27, January 28
Times: Friday 1:00 PM – 4:00 PM | Saturday 9:00 AM – 12:00 PM
*note that all sessions must be attended.
Audience: MSA students only
Location: BH 306

ABSTRACT: The workshop introduces some of the core elements of Hadoop: the distributed file system (HDFS), MapReduce, Hive, HBase, and Kafka.

Feb
10
Fri
2017
Spark Boot Camp @ BH 306 @ BH 306
Feb 10 @ 1:00 pm – 4:00 pm

Instructor: Dr. Péter Molnár, Visiting Academic Professional, Institute for Insight
Dates: February 10, February 11, February 17, February18, February 24, February 25
Times: Friday 1:00 PM – 4:00 PM | Saturday 9:00 AM – 12:00 PM
*note that all sessions must be attended.
Audience: MSA students only
Location: BH 306

ABSTRACT: The workshop introduces Apache Spark, a platform to process distributed data within the Hadoop environment. The entry threshold to using Spark is fairly low since most of its functionality can be implemented in Python and R programs. In addition, Spark also runs locally on any multi-core desktop or laptop.

Feb
11
Sat
2017
R Basic Boot Camp @ RCB - 1215
Feb 11 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: RCB – 1215

ABSTRACT: In this first of a series of workshops on R. This segment covers the introduction to the language and programming environment. The focus will be on data types, importing and exporting data, manipulation data columns, and data frame operations like sorting, merging, and aggregating.

Feb
12
Sun
2017
R Basic Boot Camp @ RCB - 1215
Feb 12 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: RCB – 1215

ABSTRACT: In this first of a series of workshops on R. This segment covers the introduction to the language and programming environment. The focus will be on data types, importing and exporting data, manipulation data columns, and data frame operations like sorting, merging, and aggregating.

Mar
10
Fri
2017
Julia Boot Camp @ BH 306 @ BH 306
Mar 10 @ 1:00 pm – 4:00 pm

Instructor: Dr. Péter Molnár
Dates: March 10, March 11, March 17, March 18, March 24, March 25
Times: Friday 1:00 PM – 4:00 PM | Saturday 9:00 AM – 12:00 PM
*note that all sessions must be attended.
Audience: MSA students only
Location: BH 306

ABSTRACT: Julia is a high-level, high-performance dynamic programming language for technical computing. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. The workshop introduces core concepts of modern programming. Participants should be familiar with common elements of programming languages, like variables, loops, conditional statements, and functions.

Mar
11
Sat
2017
Advanced R @ BH - 404
Mar 11 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: BH – 404

ABSTRACT: This segment introduces various statistics libraries in R, and concludes the series by practicing basic and advanced statistics, including descriptive statistics, hypothesis testing, linear regression, and ANOVA.

Mar
13
Mon
2017
R Visualization Boot Camp @ BH - 404
Mar 13 @ 5:30 pm – 8:30 pm

Speaker Name:
Affiliation:
Location: BH – 404

ABSTRACT: This segment presents an overview of the visualization capabilities of R and methods to create reproducible documentation of initial findings. The session will present examples on best practices in communicating insight through visualization.

Mar
14
Tue
2017
R Visualization Boot Camp @ BH - 404
Mar 14 @ 5:30 pm – 8:30 pm

Speaker Name: Michel Guillet
Affiliation:
Location: BH – 404

ABSTRACT: This segment presents an overview of the visualization capabilities of R and methods to create reproducible documentation of initial findings. The session will present examples on best practices in communicating insight through visualization.

Mar
25
Sat
2017
Business Process @ BH - 406
Mar 25 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: BH – 406

Mar
26
Sun
2017
Business Process @ BH - 406
Mar 26 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: BH – 406

Apr
8
Sat
2017
Advanced R @ BH - 406
Apr 8 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: BH – 406

ABSTRACT: This segment introduces various statistics libraries in R, and concludes the series by practicing basic and advanced statistics, including descriptive statistics, hypothesis testing, linear regression, and ANOVA.

Apr
9
Sun
2017
Advanced R @ BH - 406
Apr 9 @ 9:00 am – 5:00 pm

Speaker Name: Viswa Viswanathan
Affiliation: Seton Hall University
Location: BH – 406

ABSTRACT: This segment introduces various statistics libraries in R, and concludes the series by practicing basic and advanced statistics, including descriptive statistics, hypothesis testing, linear regression, and ANOVA.