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Introduction to Analyzing Data for Business Goals
A required course in the Data Analytics for Business Certificate Program. A required course in the Data Analytics for Business Certificate Program.
Course Description
Advancements in technology have made data easily available for use. This introductory analytics course starts with an overview of data analytics to introduce the different types of data and fundamental concepts behind collecting, storing, and analyzing data. A survey of the different types of analytics (descriptive, diagnostic, predictive, and prescriptive) will provide insight on how each type can be applied to derive the most benefit from available data. Use cases will be discussed to evaluate best-practices and lessons learned.
Prerequisite(s): None.
NOTE: This course may have live sessions via Zoom. 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.
NOTE: This course requires Microsoft Excel. Additional information will be provided on the course page once the course begins. Prerequisite(s): None.
NOTE: This course may have live sessions via Zoom. 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.
NOTE: This course requires Microsoft Excel. Additional information will be provided on the course page once the course begins.
Instructor
Yu Zhang, Ph.D., has over 5 years of experience of in python programming and uses the big query SQL, python colab, and Tableau in previous and current work. She has over 5 years of experience in academic in statistical analysis and 3 years of experience in industry and government working on complex data and machine learning projects. She is technically sound with full experience in data validation and machine learning modeling. In addition, she has over 6 year’s teaching experience as a lecturer, teaching assistant, and mentor working in UC Santa Barbara, UC Davis, UC Irvine. She is passionate about using data analytics for real-world problem solving and working with diverse students.
Textbook Information
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
No textbooks are required for this course.
Meeting Schedule
Event Date Day Start Time End Time Location Room
START 04/03/2023 Monday --- --- Online (Access Begins) ---
OL-LEC 04/06/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 04/13/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 04/20/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 04/27/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 05/04/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 05/11/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 05/18/2023 Thursday 7:00 PM 8:00 PM Zoom ---
OL-LEC 05/25/2023 Thursday 7:00 PM 8:00 PM Zoom ---
END 05/28/2023 Sunday --- --- Online (Access Ends) ---