XBUS-750 - Data Science

Course Description

Georgetown’s Certificate in Data Science prepares you with the technical and analytical skills required to collect, clean, model, and present data. As a student, you’ll use the Python programming language and industry standard tools to help create and present data analytics, machine learning models, and visualizations. Throughout the program, you’ll also hone your communications skills and learn strategies for effective data presentation.

Led by academics and professionals within the data science community, our program incorporates hands-on coursework as well as group work focused on real-world data science projects. By the time you complete the program, you’ll have the well-rounded expertise that enables you to tell powerful stories with data and create an impact on organizational decisions.

Course Outline

You must successfully complete the eight required course modules for a total of 10.80 Continuing Education Units (CEUs), which is equivalent to 108.0 contact hours.

The modules must be completed in sequence as a cohort.:

Foundations of Data Analytics and Data Science (1.2 CEUs)
Software Engineering for Data (1.8 CEUs)
Data Sources & Storage (1.2 CEUs)
Data Ingestion & Wrangling (1.2 CEUs)
Data Analysis I: Statistics (1.2 CEUs)
Data Analysis II: Machine Learning (1.8 CEUs)
Visual Analytics (1.2 CEUs)
Applied Data Science (1.2 CEUs)

Course Objectives

Upon successful completion of the certificate, you’ll be able to:

Apply the data science pipeline to analytical workflows
Express effective programming practices for analytics
Utilize and query relational and NoSQL databases
Ingest and wrangle data for deeper insights
Conduct statistical hypothesis testing and analysis
Create predictive models that learn from data
Interpret and iteratively improve models
Visualize data and models to communicate solutions
Explain the ethical implications of data science

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.

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Self-directed Learning Plus (SDL+) courses are designed to provide the professional learner with an exceptional educational experience based on a human-centered approach that integrates the needs of people and the possibilities of technology.

SDL+ Features for Data Science:

Class size is limited to a maximum of 24 students.
A Capstone Advisor and Teaching Assistant are available throughout the course to support academic success of each student.
SDL+ includes online real time engaging discussion sessions each week between the instructor and the learners.
SDL+ meets the two key factors that influence professional learners to choose the Georgetown's Data Science Certificate; (1) engagement with Georgetown faculty and (2) networking with their peers in the class.

Course Prerequisites

Course prerequisites include:

A bachelor's degree or equivalent
Completion of at least two college-level math courses
Basic familiarity with programming or a programming language
A laptop for class meetings and coursework

All students accepted to the Data Science program are automatically enrolled in the Python Workshop and Orientation at no cost.

While the Python Workshop and Orientation are not required to earnt the Certificate in Data Science, Data Science students who successfully complete the workshop and orientation typically are more successful in the course and produce better final projects.

Applies Towards the Following Certificates

Certificate in Data Science : Required