Course Description

The fields of statistics and probability were founded on empirical analysis of data (e.g. human height). Data scientists must possess a strong foundation in statistics and probability to uncover patterns and build models, algorithms, and simulations. This course reviews the basics of descriptive and inferential statistics, distributions, probability, and regression with a specific focus on application to real data sets. 

Course Objectives

Upon successful completion of the course, students will:

  • Explain descriptive and inferential statistics
  • Compute measures of central tendency, variance, and probabilities 
  • Produce and interpret meaningful and accurate summary statistics for a given data set
  • Conduct hypothesis tests and understand the difference between Type I and Type II errors
  • Develop single and multivariate regression models
  • Differentiate between correlation and causation



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 Wrangling (XBUS-503)
  • Basic familiarity with programming or a programming language
  • A laptop for class meetings and coursework

Applies Towards the Following Certificates

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Live Online
9:00AM to 4:00PM
Apr 01, 2023 to Apr 15, 2023
Schedule and Location
Contact Hours
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

Computing Requirements

Students will be expected to use a personal laptop to complete analytics and programming workshops and a Capstone project. Students should have administrative access and be able to install required course software and libraries. We recommend the following minimum computing requirements:

  • A laptop with at least a dual-core 1.8 GHz processor, 4GB of RAM, and 20 GB free hard disk space (e.g. a laptop purchased in the past two years).
  • A modern operating system: Windows 10 or newer (updated to the latest semi-annual channel version), OS X 10.15 Catalina or newer, or Ubuntu 20.04 or newer (or an equivalent Linux distribution). OS X and Linux are strongly encouraged.
  • Administrator access on your system to install new software.
  • Python 3.8 (or later) or Anaconda 2020.07 (or later) installed on your system.
  • A command prompt available (Powershell on Windows, Terminal on OS X or Linux).

Please note that computing requirements and software dependencies may change. 

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