Center for Continuing and Professional Education

XBUS-506 Data Storytelling

XBUS-506 Visual Analytics

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Course Details

Though visual representations of quantitative information were traditionally cast as the end phase of the data analysis pipeline, visualizations can play important roles throughout the analytic process and are critical to the work of the data scientist. Where static outputs and tabular data may render patterns opaque, human visual analysis can uncover volumes and lead to more robust programming and better data products. For students getting started with data science, visual diagnostics are particularly important for effective machine learning. When all it takes is few lines of Python to instantiate and fit a predictive model, visual analysis can help navigate the feature selection process, build intuition around model selection, identify common pitfalls like local minima and overfit, and support hyperparameter tuning to render more successful predictive models.

In this course, students will learn to deploy a suite of visual tools using Scikit-Learn, Matplotlib, Pandas, Bokeh, and Seaborn to augment the analytic process and support machine learning from preliminary feature analysis through model selection, evaluation, and tuning. 

Course Objectives

Upon successful completion of the course, students will be able to use visualizations to:

  • Summarize and analyze a range of data sets.
  • Support feature engineering and feature selection.
  • Diagnose common machine learning problems like bias, heteroscedasticity, underfit, and overtraining.
  • Evaluate their machine learning models' performance, stability, and predictive value.
  • Steer their predictive models toward more successful results.

 

 

Notes

Course Registration

This course is an open enrollment course. No application is required and registration is available by clicking "Add to Cart" below.

Current Students
Current students can register by clicking "Add to Cart" below, logging in with your Georgetown NetID and password, and following the steps to complete enrollment. Course registration is complete when payment is processed and you receive a confirmation email.

New Students
New students must first create an account and password through the Student Portal prior to registration. After your account is created, you will receive your Georgetown NetID via email. When you have your Georgetown NetID and password, continue registration by clicking "Add to Cart", logging in, and following the steps to complete enrollment. Course registration is complete when payment is processed and you receive a confirmation email.

Georgetown NetID Password Reset

If you have forgotten or do not have your Georgetown University NetID password, please contact the University Information Systems (UIS) 24/7 IT Helpdesk to have your password reset.

More Information

For more information or to speak with a program advisor, please send an email to ccpeprograms@georgetown.edu or call (202) 687-7000.

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 Analysis II: Machine Learning (XBUS-505)
  • Basic familiarity with programming or a programming language
  • A laptop for class meetings and coursework

Applies Towards the Following Certificates




Sections

XBUS-506 - 01 Visual Analytics    
2016 - Summer 2016 Non-Credit   Status:  Available
Class:   Sat 9:00AM - 4:00PM
13 Aug 2016 to 20 Aug 2016
Number of Sessions: 2 Sessions
Contact Hours: 12.0
Course Tuition:
Tuition non-credit    XBUS-506 - 01 795.00
Potential Discount(s):
Alumni Discount
Boeing Discount
EdAssist
 
Location:   Main Campus
Building:   640 Mass Ave
Instructors: Rebecca Bilbro
 
XBUS-506 - 01 Visual Analytics    
2016 - Fall 2016 Non-Credit   Status:  Available
Class:   Sat 9:00AM - 4:00PM
3 Dec 2016 to 10 Dec 2016
Number of Sessions: 2 Sessions
Contact Hours: 12.0
Course Tuition:
Tuition non-credit    XBUS-506 - 01 795.00
Potential Discount(s):
Alumni Discount
Boeing Discount
EdAssist
 
Location:   Main Campus
Building:   640 Mass Ave
 


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