Jquery library

Course Information

The course is designed to pull together concepts learned from previous courses and apply techniques in real-world scenarios. Students will have the unique opportunity to work on real data to solve a practical problem. By the end of the project students will have experienced the entire data science project lifecycle: attack the business problem with data by reframing the problem, establish experimental tests of data-drive hypotheses, generate meaningful findings, communicate and present them in a clear and effective manner. Students will also be introduced to the art of Data Visualization, and will be able to apply those techniques as part of their project presentation.


Foundational Data Science I, Foundational Data Science II, Statistical Analysis, Modeling and Data Mining, Computational Data Sciences and Machine Learning

1 Course sections available Please note: Note: Click on the schedule number (i.e. E125-11103) to view more course information.
Schedule # Days Date Time Location Fee Register
E197-22077 09/23/19-11/03/19 Online Online-Variable $650.00
Instructor: R. Bhaskar, Professor, Department of Information Systems & Decision Sciences, California State University, Fullerton; K. Potcner, Master's in Statistics from The Rochester Institute of Technology, Statistical Scientist at JMP/ SAS

Unit(s): 2.4
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