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Fundamentals of Data Science

A required course in the Data Science Certificate Program.

Course Description

The goal of this course is to demystify data science and to familiarize students with key data scientist skills, techniques, and concepts. Starting with foundational concepts like analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and data diagnostics, the course will then move on to compare data science with classical statistical techniques. An overview of the most common techniques used in data science, including data analysis, statistical modeling, data engineering, relational databases, SQL and NoSQL, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations will be covered. Required prerequisites: I&C SCI X425.99 Practical Math and Statistics for Data Science and Analytics AND I&C SCI X426.64 Introduction to Python Programming

Required prerequisites: I&C SCI X425.99 Practical Math and Statistics for Data Science AND I&C SCI X426.64 Introduction to Python Programming.

NOTE: This course may use live sessions via Zoom. While students are highly encouraged to attend, all sessions are optional and will be recorded. A device with audio and visual will be needed to participate. The following student guide provides additional resources/information on how to use and access your courses Zoom sessions.

  • Details
  • $820
  • January 24, 2022 to March 20, 2022
  • Delivery Mode: Online
  • Reg#: 00191
  • ID/Units: I&C SCI X427.05  (2.50)
    ( Section 1 )
  • Quarter: WINTER 2022

Instructor


Dr. Dursun Delen is the holder of Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Dr. Delen has over 30 years of experience in analytics and data science both as a business consultant and university professor. Prior to his academic tenure, he worked for a privately-owned research and consultancy company as a research scientist for five years, during which he led a number of decision support, information systems and advanced analytics related research projects funded by federal agencies including DoD, NASA, NIST and DoE. Dr. Delen has published more than 150 peer-reviewed articles and 11 books/textbooks. He is often invited to national and international conferences for keynote addresses, and companies for consultancy engagements on topics related to business analytics, data science, data/text mining, and knowledge management. He regularly serves as chair for tracks and minitracks at various business analytics and information systems conferences. Currently, he is serving on more than a dozen journal editorial boards as editor-in-chief, senior editor, associate editor, and editorial board member. He is the recipient of several research and teaching awards including the prestigious Fulbright scholar, regents distinguished teacher and researcher, and Big Data mentor awards.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbook information is available for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START01/24/2022Monday------Online (Access Begins)---
END03/20/2022Sunday------Online (Access Ends)---