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Course Description

The first part of this one-day course explores data science and data analytics in their historical context and examines the environmental factors that precipitated the field’s rise to prominence. Students will learn how the field differs from more traditional academic fields such as statistics or computer science and will discuss the various skills required for a successful career in data analytics.

The second part of the course is a primer on programming in Python. Students will focus on programming structure and syntax as well as complete basic exercises. The instructor will also review the technical applications students will use throughout the certificate program.

Course Objectives

Upon successful completion of the course, students will:

  • Understand the genesis of the field of data science and analytics
  • Have a basic understanding of programming in Python
  • Know the key skills for a successful data practitioner

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.)
  • Basic familiarity with programming or a programming language
  • A laptop for class meetings and coursework

Students who do not have a basic familiarity with computer programming are strongly encouraged to review Python.org's beginners guide for non-programmers for resources to start learning about the Python programming language.

Applies Towards the Following Certificates

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Type
Live Online
Days
Sa
Time
9:00AM to 4:00PM
Dates
Aug 13, 2022 to Aug 20, 2022
Schedule and Location
Contact Hours
12.0
Course Tuition
Tuition non-credit $833.00 Click here to get more information
Instructors
  • Samuel Goodgame
Required Software
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. 
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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