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Course Description

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

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 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

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Enroll Now - Select a section to enroll in
Type
Live Online
Days
Sa
Time
9:00AM to 4:00PM
Dates
Nov 20, 2021 to Dec 04, 2021
Schedule and Location
Contact Hours
12.0
Course Tuition
Tuition non-credit $833.00 Click here to get more information
Section Notes

 

Welcome to Live Online!

Using the Live Online platform, Georgetown faculty deliver real-time online exceptional educational experiences based on a human-centered approach that integrates the needs of professional learners and the possibilities of technology.

Live online classes are small to support highly interactive engaged learning and collaboration, deliver the same learning objectives as classroom courses, and count towards the completion of a Georgetown certificate.

You will experience:

  • live lectures, discussions, activities, and the dynamic exploration of topics and concepts
  • the immediacy of live connections with the instructor and your peers to challenge and encourage innovative thinking and the meaningful exploration of ideas
  • scheduled lectures, discussions, and presentations with a comparable level of interaction as classroom attendance
  • networking and the creation of social connections with other professional learners in a global classroom

 

 

Type
Live Online
Days
Sa
Time
9:00AM to 4:00PM
Dates
May 07, 2022 to May 14, 2022
Schedule and Location
Contact Hours
12.0
Course Tuition
Tuition non-credit $833.00 Click here to get more information
Section Notes

 

Welcome to Live Online!

Using the Live Online platform, Georgetown faculty deliver real-time online exceptional educational experiences based on a human-centered approach that integrates the needs of professional learners and the possibilities of technology.

Live online classes are small to support highly interactive engaged learning and collaboration, deliver the same learning objectives as classroom courses, and count towards the completion of a Georgetown certificate.

You will experience:

  • live lectures, discussions, activities, and the dynamic exploration of topics and concepts
  • the immediacy of live connections with the instructor and your peers to challenge and encourage innovative thinking and the meaningful exploration of ideas
  • scheduled lectures, discussions, and presentations with a comparable level of interaction as classroom attendance
  • networking and the creation of social connections with other professional learners in a global classroom

 

 

Type
Live Online
Days
Sa
Time
9:00AM to 4:00PM
Dates
Aug 27, 2022 to Sep 10, 2022
Schedule and Location
Contact Hours
12.0
Course Tuition
Tuition non-credit $833.00 Click here to get more information
Section Notes

 

Welcome to Live Online!

Using the Live Online platform, Georgetown faculty deliver real-time online exceptional educational experiences based on a human-centered approach that integrates the needs of professional learners and the possibilities of technology.

Live online classes are small to support highly interactive engaged learning and collaboration, deliver the same learning objectives as classroom courses, and count towards the completion of a Georgetown certificate.

You will experience:

  • live lectures, discussions, activities, and the dynamic exploration of topics and concepts
  • the immediacy of live connections with the instructor and your peers to challenge and encourage innovative thinking and the meaningful exploration of ideas
  • scheduled lectures, discussions, and presentations with a comparable level of interaction as classroom attendance
  • networking and the creation of social connections with other professional learners in a global classroom

 

 

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