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Fels Institute of Government

Elements of Data Analytics

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Description

This is a hybrid course, meaning that class will meet on-campus one Friday/Saturday each month and online each Monday evening.

The following sections will be offered the first half of the semester: GAFL 500-028 Elements of Data Analytics GAFL 500-022 Project Management and the Public Sector

The following sections will be offered the second half of the semester: GAFL 500-029 Communicating with Data GAFL 500-012 Organizational Leadership and Communication

About GAFL500-028 Elements of Data Analytics:

Elements of Data Analytics will explore different methods of data collection, taking students through research design and methodology, up to the point of analysis (to be covered in future classes within the Fels coursework). Starting with a review of existing data sources, we will cover methods of data collection - quantitative, survey, and qualitative. The course will help students identify the best approach to collecting data to answer research/evaluation questions. The course will also cover data limitations, and publically available resources for data access. This half credit course will provide students helpful information to prepare them for the second part of this semester course, GAFL500-029, but students are not required to take GAFL500-029 after taking this course, and students are not required to have taken GAFL500-028 to take GAFL500-029.

School of Continuing Studies

XBUS-500 Foundations of Data Analytics and Data Science

Next dates

Aug 24—Sep 7, 2019
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day
Jan 4—11, 2020
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day
Feb 8—22, 2020
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day

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