The Data Analytics Certificate trains you to mine and analyze raw data to optimize business performance.
The Data Analytics certificate is designed to foster the fundamental technical, analytical, and data-driven decision-making skills that are in high demand by many employers. You will gain hands-on experience, using industry-standard software and programming packages, in concert with a solid theoretical foundation. The Data Analytics Certificate program allows you to synthesize massive amounts of data to identify emerging marketing trends and best business practices. Smart companies understand that data-based decisions drive profitability and productivity. The Harvard Business Review found that these firms were 5 percent more productive and 6 percent more profitable than competitors.
Note: This program is 16 credits and is not eligible for Federal Financial Aid. Contact your enrollment advisor as other financial aid may be available.
A Career with a Future
As you progress in your organization, understanding the nuances and requirements of data analytics becomes increasingly important. The Data Analytics Certificate program builds your business confidence.
Are You Ready?
To apply for our Data Analytics Certificate, we require:
- Official High School Transcripts
- A minimum cumulative GPA of 3.0
The Data Analytics Certificate Courses
This course is an introduction to how the methods of data analytics can be used to make decisions in business and other fields. The focus is on the fundamental concepts and techniques from data science, from a semi-technical point of view. The course will serve as a foundation for students who wish to specialize in the area and investigate more advanced topics. Students will get practical experience with some of the most fundamental techniques of data science.
R for Statistical Computing
This course is an introduction to the R programming language and environment for statistical computing and graphics. The primary focus will be on R programming basics, coupled with the data analysis skills required to transform, visualize and explore data. Students will also learn to run and interpret the results from commonly used parametric and non-parametric inferential tests. The course also includes an introduction to correlation and simple linear models.
This course is an introduction to the fundamentals of database management. Students will learn to manipulate data in various ways using industry-standard database languages (e.g. SQL). As time permits, applications using Python may also be explored.
Applied Regression Modeling
This course is an introduction to regression analysis and modeling. The primary focus of this course will be on interpreting, evaluating and building both simple and multiple linear regression models, with logistic regression methods covered as time permits. Through the use of case studies and real-world data sets, the emphasis of this course will be on the application of regression analysis and modeling techniques for understanding, analyzing and interpreting multivariate data in business, the biological and social sciences.
Data Analytics and Visualization
This course will treat the major topics of data analytics in depth. The material includes the theoretical background of predictive data analytics. The course gives students hands on experience with data analytic techniques as well as techniques of presentation and decision making based on data.