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CIS-155: Introduction to Data Analytics

Course Information

Course, prefix, number, & title: CIS-155 Introduction to Data Analytics

Hours (Class, recitation, Laboratory, studio): 2 class hours, 2 lab hours

Credits: 3

Pre-requisites (if any): CIS-101 Introduction to Computers and Applications, CIS-102 Computer Programming Fundamentals for Business

Course Description in college catalog:

This course provides an introduction on how to analyze data from a wide variety of sources using programming techniques. Among the topics included are data cleansing, combining data from multiple sources, and reshaping data into a form suitable as input to data-summarization operations for visualization, modeling, and analysis. Students will gain the understanding and techniques for tidying data, preparing data, and data wrangling and apply those techniques to answer business questions via modeling and visualization.

Academic programs for which this course serves as a requirement or an elective:



General Education Outcomes: Below is a listing of General Education Outcome(s) that this course supports.

  1. Communicate effectively in various forms

  2. Use analytical reasoning to identify issues or problems and evaluate evidence in order to make informed decisions

  3. Reason quantitatively as required in various fields of interest and in everyday life

  4. Apply information management and digital technology skills useful for academic research and lifelong learning

Course-specific student learning outcomes:

  1. Demonstrate a basic understanding of data analysis concepts that can be used to support data-driven decision making.

  2. Demonstrate how to perform data cleansing techniques and prepare datasets for analysis.

  3. Demonstrate how to perform descriptive analysis.

  4. Demonstrate how to perform predictive analysis, find correlations, and work with simple linear regression models.

Program-specific outcomes

Develop software solutions to support data-driven decision making across multiple industries through the application of data analytics, data mining and machine learning techniques.

Other program outcomes (if applicable).

  1. Integrate knowledge and skills in the program of study

  2. Work collaboratively to accomplish learning objectives

Methods by which student learning will be assessed and evaluated; describe the types of methods to be employed; note whether certain methods are required for all sections:

Student Participation     

Hands on laboratory assignments

Hands on programming work outside the classroom/Lab

Hands on programming exams/test

Project(s) implementation and presentation using audio visual equipment

Tests and Quizzes  40%                

Homework  30%

Projects  30%

Academic Integrity policy (department or College):
Academic honesty is expected of all students. Any violation of academic integrity is taken extremely seriously. All assignments and projects must be the original work of the student or teammates. Plagiarism will not be tolerated. Any questions regarding academic integrity should be brought to the attention of the instructor. The following is the Queensborough Community College Policy on Academic Integrity: "It is the official policy of the College that all acts or attempted acts that are violations of Academic Integrity be reported to the Office of Student Affairs. At the faculty member's discretion and with the concurrence of the student or students involved, some cases though reported to the Office of Student Affairs may be resolved within the confines of the course and department. The instructor has the authority to adjust the offender's grade as deemed appropriate, including assigning an F to the assignment or exercise or, in more serious cases, an F to the student for the entire course." Read the University's policy on Academic Integrity opens in a new window.

Disabilities
Any student who feels that he or she may need an accommodation based upon the impact of a disability should contact the Office of Accessibility Services in Science Building, Room S-132, 718-631-6257, to coordinate reasonable accommodations for students with documented disabilities. You can visit the Office of Accessibility Services website.

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