The 100% online Healthcare Analytics graduate certificate from Saint Mary's University of Minnesota prepares you to apply business intelligence principles in healthcare contexts, using artificial intelligence techniques to improve patient outcomes and streamline business functions. It is delivered in a flexible format and can be completed in as few as five months. Graduates are prepared for roles like data analyst, healthcare supply chain analyst, and more.

Data Science is continually ranked as one of the most in-demand professions. The need for professionals who can manage and leverage insights from data is clearer than ever before. The curriculum taught in this program is designed to meet the expanding multi-disciplinary needs of data professionals. By covering a wide array of topics, the program addresses the wide variety of skills needed to work on successful data-based projects. Topics covered include data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python programming, and machine learning. UC Irvine’s 3-month post-graduate level Accelerated Certificate Program (ACP) in Data Science covers a wide array of topics in data science including data-driven discovery and prediction, data engineering at scale (inspecting, cleaning, transforming, and modeling data), structured and unstructured data, computational statistics, pattern recognition, data mining, data visualization, databases, SQL, Python, and machine learning.

Modern business software produces mountains of data; it is up to the professional to examine it and draw meaningful conclusions. This Data Analytics entirely online and self-paced program is designed for business professionals who wish to understand the fundamentals of quantitative analysis so that they can convert trends in their data into thoughtful business decisions. 

Data is everywhere—from e-commerce sales, app downloads to a smartphone, to supply chain management or bioinformatics or connected devices. And that massive increase in the amount and variety of data being collected is translating to an exponential growth in the computer power needed to process that data.

This program provides students with the knowledge and skills to engage in the design of artificial intelligence (AI) systems, based on data science (DS) and machine learning (ML) applications, providing a critical understanding of the role that humans play through the data processing pipeline.

The Data Quick Start Certificate of Achievement provides students with short-term, foundational data skills using spreadsheet and database software.

This certificate prepares students for employment as junior programmers, programmer/analysts, and systems analysts and designers. The areas of emphasis include Visual Basic, Access and SQL Server. Computer Information Systems (CIS) provides students with a broad background in the application of computers to the emerging needs of business and industry. CIS programs of study prepare students for entry-level positions in computer programming, systems analysis, database programming, help desk, computer operations and network management, information systems management, and sales and technical information positions.

This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the new "Big Data" management frameworks for data storage and retrieval, and for data analysis in support of management decision-making. Data architects, data analysts, database administrators, and information technology staff members can all benefit from this program.

In this short specialized study program, students will learn Python programming concepts including programming styles, idioms, libraries, data structures, data retrieval, processing, visualization, networked application program interfaces, and databases. Students can then choose from a final course in either Python for Data Analytics/Data Science or Accessing Web Data with Python.

This Data Science Certificate, a self-paced program is designed to help students learn the principles of data science. The curriculum provides students with knowledge of key technologies including R, Python, and Tableau. Learning from industry-recognized authors and consultants, participants gain an understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, KNN, AI applications, and Deep Learning. 

The Certificate in Data Science is intended for students who possess a Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) field, but who lack sufficient background in Data Science to be admitted to the Master of Science in Data Science.

This Professional Certificate program is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position.

Master key concepts using the R programming language.

The students will learn the mechanics for collecting data, analyzing data and some core modelling approaches in forecasting, mix modelling and cross-channel attribution; How to use the purchase funnel as a framework for optimizing your marketing campaigns across paid, owned, and earned channels and much more.

Prepares learners to analyze data and develop reports with an emphasis on data analytics and business intelligence using leading relational database languages, document based databases, collaborative cloud systems and related technologies. Graduates will be proficient in data reporting, SQL queries, and will be prepared for success in any contemporary data-driven environment.