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.

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.

Certificate of Higher Education in Data Analysis plays an important role in almost all private and public sector employment. The need to understand how to use IT and data to inform business decisions has never been more important. This qualification introduces you to some basic skills in exploring and analysing data sets and solving practical problems using mathematics, statistics and computing. It forms a foundation for further study or employment in the fields of mathematics, statistics, computing or data science.

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.

Study data analytics with a world-leading social science university.

Data governance is about the convergence of data quality, data management, data policies, business process management, and risk management around the handling of data within an organization.

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 certificate program covers a wide array of topics; students will learn the fundamental concepts behind collecting, storing, and analyzing data. Through descriptive, predictive, and prescriptive analytics, students will also learn how to utilize analytic tools and models to reliably forecast trends and behaviors, effectively utilize visualization tools, and create effective strategies.

As data grows even more integral to business, it’s easy to see why data engineering was ranked as the fastest-growing tech occupation in 2020. The need for data engineers who can build out the infrastructure necessary to put data to work is intensifying, and the MIT xPRO Professional Certificate in Data Engineering can help you meet this demand with job-ready data engineering skills that offer a competitive edge in the marketplace.

Master key concepts using the R programming language.

The Data Science Certificate consists of 4-courses providing a concentrated perspective into the complex field of data science and business analytics. It is designed to provide students with skills to develop data science programming, analytics, and decision-making techniques, as well as, predictive analytics and data visualization.

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.

Competitive advantage today is based on your data and your ability to analyze the data to solve customer challenges. Our hands-on modules, courses, and workshops will help you understand both the basics of Data Science and its impact on management practice.