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Professional Development, University Extended Education, California State University, Fullerton

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Data Science

Our Certificate in Data Science is an accelerated online program designed to help you start your career as a data science professional.

Suitable for a range of analysts, scientists and engineers, our program curriculum is delivered through hands-on practices, real-world case demonstrations and project development.

The program provides both the fundamentals in statistics and computer sciences, as well as tools, techniques and practical experience in applied statistical analysis, modeling, machine learning and computational data sciences.

The program concludes with a capstone consulting course in which you gain hands-on experience solving real-world problems.

The Certificate in Data Science consists of five required courses totaling 99 hours of lecture and discussion.
9.9 Continuing Education Units will be awarded to the certificate graduate.


Non-California Residents

Due to state and federal regulations, non-California residents may only enroll in CSUF online courses when their state has authorized CSUF as a provider. Click here for more information.

It is recommended that participants who reside outside of United States and whose first language is not English must possess English language proficiency equivalent to a minimum TOEFL score of 550 (paper), 80 (iBT) or IELTS score of 6.5.

It is the participant’s responsibility to demonstrate English language proficiency necessary to fully participate in the class lectures and discussions.

For optimal viewing of the course schedule below, please view on a tablet or desktop
Please note: Note: Click on the course title to view all available course sections. Hover over the colored labels to view where the course will be offered.
Course Title
Fall
2016
Winter / Spring 2017
Summer
2017

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Days Date Time Location
09/12/16-10/26/16 Online Online-Variable
Fee
$650.00
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Upon completion of the certificate program, graduates will be able to:
-Articulate how today's organizations are using data to gain strategic business advantage
-Understand the complete data analytics project lifecycle
-Understand the tools companies are using to acquire, store, and process data
-Apply the various statistical analysis and modeling tools
-Apply appropriate analytic techniques and tools to analyze big data
-Frame/reframe business challenges and translate them into analytical framework
-Present data results to managers and non-technical audiences using data visualization

-Data analysts who wish to move beyond using basic analysis tools.
-Computer scientists and statisticians who wish to take a lead role in data science projects.
-Graduates with degrees in math, statistics, computer engineering and natural sciences who wish to enter the data science field.
-Professional analysts (e.g. financial analysts, business analysts, systems analysts) who wish to advance their skills in data science.
-Managers who wish to utilize data science to enhance business performance.

The Data Science Certificate is open to anyone who meets one or both of the following program prerequisites:
1. Bachelor's degree or higher in Computer Science, Applied Statistics, Math, Engineering, Physics, Biological and Natural Sciences or related fields
2. At least 3 years of working experience in data analysis, business analytics, business intelligence, programming or software engineering

In addition, it is recommended that participants who reside outside of United States and whose first language is not English possess English language proficiency equivalent to:

A minimum TOEFL score of 550 (paper) or 80 (iBT)
Or
A minimum IELTS score of 6.5

There is no need to send the test score to the University. It the participant's responsibility to demonstrate English language proficiency necessary to fully participate in the class lectures and discussions.

Avram Aelony
Data Scientist- BeachMint
Rahul Bhaskar
Faculty- Department of Information Systems/Decision Science, California State University, Fullerton
Gulhan Bourget
Assistant Professor- Department of Mathematics, California State University, Fullerton
Carol Creighton
Associate Dean- University Extended Education California State University, Fullerton
Tom Deutsch
Program Director- Information Management, Big Data and Advanced Analytics IBM
Alicia Fan
Program Developer- University Extended Education California State University, Fullerton
David Kale
Co-founder and Data Scientist, Podimetrics
Kari A Knutson Miller
Associate Vice President- International Programs, Dean- University Extended Education California State University, Fullerton
Yasmin Lucero
Senior Statistician- Gravity.com
Kevin J Potcner
Director of Consulting- Minitab, Inc.
Ryan Swanstrom
Data Analyst/Developer- Wells Fargo
Yun Tian
Assistant Professor- Department of Computer Science, California State University, Fullerton
Shelly Wang
Manager- Program Development, University Extended Education California State University, Fullerton

About the Program

Program graduates will complete a capstone project demonstrating their skills in the subject.


Meena Janbahan
657-278-4656

mejanbahan@fullerton.edu

Request a Certificate
Program Info Sheet