DATA 101: Introduction to Data Analytics

Data Analytics
Course in Data Analytics
Course Description:

In our digital world, data-driven decision-making is becoming more common and more expected. Effective leadership and communication, therefore, often hinges on the ability to acquire, manage, analyze, and display large, quantitative data sets. Even many entry-level jobs assume or require basic knowledge of data analytics. This course introduces students to important concepts in data analytics across a wide range of applications using the programming language R. Students complete the course with a clear understanding of how to utilize quantitative data in real-time problem identification, decision-making, and problem-solving. No prerequisites in statistics or math are required.

Prior to the start of the term, students in DATA 101 are required to complete a pre-course module that takes approximately 3-5 hours. During this time, students download and set up the software they will use for this class and ensure that it is properly configured for their machine. Students must complete this task approximately two weeks before the term begins (if more time is needed, students are encouraged to connect with their instructor or advisor). To ensure that students are successful with this pre-course model, there is supplementary support available from teaching assistants throughout the pre-course period. These support sessions will be announced on the Canvas course site, which students can access once they are registered for the course. This module will be available for enrolled students in the Canvas course site as of August 1.

You have the option to enroll in this individual course without committing to the entire Certificate in Data Analytics, enjoying the flexibility and expertise offered by Penn LPS Online to suit your schedule and interests. Data Analytics courses admit a limited number of students each term. Early registration is recommended. To confirm whether registration is still open for a specific term before you enroll, please email lpsonline@sas.upenn.edu or call (215) 746-6903.

Space is limited for all 2020 Data Analytics courses. Please note that students now enrolling will be placed on a waitlist and notified if space becomes available. Course registration for spring 2021 opens on November 17.

Course Credits:
1 course unit (c.u.)*
Term Format:
Accelerated 8-Week Term
2020 Term Offered:
Spring 2 (accelerated): Mar 16 – May 12, 2020
Fall 1 (accelerated): Sep 1 – Oct 26, 2020
2021 Term Offered:
Spring 2 (accelerated): Mar 15 – May 11, 2021
Synchronous Session:
Weekly synchronous session required
Fall 1 online seminar meets Thursdays from 6 - 7 p.m., EST
Spring 1 online seminar meets Thursdays from 6 - 7 p.m., EST
BAAS Foundational Requirement:
Quantitative Analysis - Statistics

*Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). A course unit (c.u.) is a general measure of academic work over a period of time, typically a term (semester or summer). A c.u. (or a fraction of a c.u.) represents different types of academic work across different types of academic programs and is the basic unit of progress toward a degree. One c.u. is usually converted to a four-semester-hour course.

Course Registration

Fall 2020 registration is now open

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