Data Science: Python Programming

code on screen 

Data Science: Programming with Python Program Details

About

An 11-week comprehensive program covering Python® language fundamentals and how to use Python for data analysis

Python is a popular and highly versatile programming language used in a variety of business and scientific applications. Most recently, Python’s use in data analysis has flourished, contending only with R as the top language used for transforming and analyzing large datasets.

DePaul University's Data Science: Programming with Python Program is geared towards IT professionals such as data analysts, data scientists, and computer programmers as well as professionals from other technical, engineering or scientific fields who wish to learn and harness the power of Python. The program covers a comprehensive introduction to the Python language, commonly used packages for accessing web data, and popular Python libraries used for data manipulation, analysis, and visualization.

Classroom lectures and demonstrations will be complemented by reading and programming assignments. The software used in the program is all open-source or is freely available for download.

Students in this program will be able to:

  • Use Python syntax to write basic computer programs
  • Understand the object-oriented principles of Python
  • Use common packages to extract data from webpages
  • Gain competence in data science methods using Python
  • Learn techniques for importing, exporting, cleaning, and transforming data using open-source libraries such as Pandas, NumPy, and SciPy
  • Use select machine learning algorithms in Scikit-learn to build smart models and make predictions
  • Explore the data visualization capabilities of libraries such as Matplotlib, Seaborn, and Folium

For a complete program description, download the program's brochure.

Dates & Location

Winter Quarter 2020:

  • Application Deadline:Dec. 10, 2019 * Still accepting applications for winter quarter *
  • Tuition Deadline:Dec. 17, 2019
  • Classes Begin:Jan. 7, 2020
  • Classes End:Mar. 17, 2020

On-campus section: Classes meet on Tuesday evenings (5:45pm-9pm). Class are held at DePaul's Loop Campus at 243 S. Wabash Avenue, Chicago.

Online section: Students may elect to register in an online section of this program. For more information about the online section, click here.

Fees

Winter Quarter 2020

Tuition

  • $2,665.00

Regular DePaul University students are charged the above rates based on their degree program. The tuition fee for this program is not included in the university's tuition package for full-time undergraduate students.

Full payment of tuition must be received before the start of the program. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.

Refund/Cancellation Policy: DePaul reserves the right to cancel any program before that program’s first scheduled meeting, in which case tuition fees (but not convenience fees) will be refunded. The university's refund policy allows a return of 100% of tuition if the student drops the Data Science: Programming with Python Program by Jan. 21,2020 (convenience fees will not be refunded).

Application Fee

  • $40.00non-refundable

Each program requires a $40.00 (non-refundable) application fee that can be paid online (via credit card) during the online application process. If you need to pay this fee by check or money order, please make the check or money order payable to DePaul University and send it to:

DePaul University Institute for Professional Development
243 S. Wabash Avenue
Room 301
Chicago, IL 60604

Textbooks

Textbooks are a separate purchase to be made by students.

Reading materials for certificate programs consist of textbooks and supplementary handouts. Textbook readings are considered preparatory in nature and are typically assigned prior to lectures; supplementary handouts are frequently distributed in class to provide additional information.

Required Textbook
Title: Introduction to Computation and Programming Using Python: With Applications to Understanding Data
Author: John Guttag
ISBN#: 978-0262529624
Publisher: The MIT Press
List Price: $45.00

Payment Options

Fees are payable by check made out to DePaul University, or by credit card. Students who elect to pay tuition using a credit or debit card will be assessed a non-redundable 2.75% convenience fee.

Applicants who are eligible for a tuition reimbursement program offered by their employer and are interested in deferring their tuition payment using the university's Employer Tuition Deferral Plan must return the Employer Tuition Deferral Plan application to the Institute for Professional Development Office. Submitting this application to any other DePaul office may delay the student's registration process. Information about this plan, along with an application form, is found here .

Applicants who wish to use the university's Single Term Payment Plan or a third-party billing arrangement should contact the Institute for Professional Development office at (312) 362-6282 for details.

Admissions

Admission Requirements

The program is geared towards IT professionals such as data analysts, data scientists, and computer programmers as well as professionals from other technical, engineering, or scientific fields who wish to learn and harness the power of Python. Applicants should have at least six months' experience programming in a modern language. It is also helpful, but not required, to have an understanding of statistics.

Course Credit

The Data Science: Programming with Python Program is catalogued as a non-credit course of DePaul University. A certificate of completion from DePaul University is awarded to those who successfully complete the program's requirements. Program requirements include reading, homework assignments, and projects. No midterm or final exams are conducted.

  • Course #: IPD 237

The Data Science: Programming with Python Program is a graded course. A final grade letter as well as DePaul transcript (upon request) will be available upon program conclusion.

Application & Registration Procedure

All interested parties should apply for admission using the Institute for Professional Development's online application; or to apply via fax, mail, or in person, print out and complete the Application Form. Upon admission, the Institute office will contact the prospective student with registration information and instructions.

Registration is restricted to admitted students. IPD staff will register students upon receipt of payment and registration form. Regular DePaul students cannot register themselves via the university's registration system.