Center for Continuing and Professional Education

XBUS-507 Applied Data Science

XBUS-507 Applied Data Science

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Course Details

Using real data sets from open source data repositories such as data.gov, the DC Open Data Catalog, and Kaggle.com, students create a data product to address a real-world problem. Students work in a data science team to apply the data science pipeline (data ingestion, data munging and wrangling, computation and analysis, modeling and application, and reporting and visualization) to a real-world problem or issue. The course involves the practical application and presentation of concepts and tools learned during the core courses. All completed pieces of the project will be hosted online to help students build a data science project portfolio.

Course Objectives

Upon successful completion of the course, students will:

  • Apply the knowledge, skills, and abilities applicable to the data science pipeline to a real world problem and data set
  • Work in a data science team to create a data product 
  • Present a completed project and product to faculty and peers
  • Build a data science project portfolio

Notes

Enrollment in this course is restricted. Students must submit an application and be accepted into the Certificate in Data Science in order to register for this course.

Current Georgetown students must create an application using their Georgetown NetID and password. New students will be prompted to create an account.

Course Prerequisites

Course prerequisites include:

  • A bachelor's degree or equivalent
  • Completion of at least two college-level math courses (e.g. statistics, calculus, etc.)
  • Successful completion of Data Story Telling (XBUS-506)
  • Basic familiarity with programming or a programming language
  • A laptop for class meetings and coursework

Applies Towards the Following Certificates




Sections

XBUS-507 - 01 Applied Data Science    
2017 - Spring 2017 Non-Credit   Status:  Wait List Not Yet Available (Opens 03 May 2017)
Class:   Sat 9:00AM - 4:00PM
17 Jun 2017 to 01 Jul 2017
Number of Sessions: 2 Sessions
Contact Hours: 12.0
Course Tuition:
Tuition non-credit    XBUS-507 - 01 795.00
Potential Discount(s):
Alumni Discount
Boeing Discount
EdAssist
Fed. Government Employee Discount
 
Location:   Main Campus
Building:   640 Mass Ave
Instructors: Benjamin Bengfort, Kyle Rossetti
Section Notes:  

Please note: Class will not meet on Saturday, June 24, 2017.

 

  
 
XBUS-507 - 01 Applied Data Science    
2017 - Summer 2017 Non-Credit   Status:  Available
Class:   Sat 9:00AM - 4:00PM
26 Aug 2017 to 09 Sep 2017
Number of Sessions: 2 Sessions
Contact Hours: 12.0
Course Tuition:
Tuition non-credit    XBUS-507 - 01 795.00
Potential Discount(s):
Alumni Discount
Boeing Discount
EdAssist
Fed. Government Employee Discount
 
Location:   Main Campus
Building:   640 Mass Ave
Section Notes:  

Class will meet on Saturday, August 26 & September 9, 2017.

 

  
 
XBUS-507 - 01 Applied Data Science    
2017 - Fall 2017 Non-Credit   Status:  Available
Class:   Sat 9:00AM - 4:00PM
09 Dec 2017 to 16 Dec 2017
Number of Sessions: 2 Sessions
Contact Hours: 12.0
Course Tuition:
Tuition non-credit    XBUS-507 - 01 795.00
Potential Discount(s):
Alumni Discount
Boeing Discount
EdAssist
Fed. Government Employee Discount
 
Location:   Main Campus
Building:   640 Mass Ave
 


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