Statistic designs

Don't Memorize Statistics
Make Them

Become a Data Analyst and join one of the fastest-growing fields, according to the U.S. Bureau of Labor and Statistics.

The graduate certificate in Data Analytics provides the training and tools to develop skills with big data that help organizations make informed decisions.

Rapid changes in technology have transformed and established ways of doing business, and with that, the demand for job skills has changed.  Today’s organizations make strategic decisions based on large amounts of data, creating a high demand for those who understand data analytics.  Industries including accounting and financial services, energy, healthcare, hospitality, insurance, and consumer products need employees who can transform raw data into strategic insight.

Executive Director of District and School Performance, MS Department of Education (MDE)

"The courses in the Data Analytics certificate far exceeded my expectations.  The classes have been challenging but have helped me be less reliant on other team members for analytics.  This has given me the confidence to perform more robust analysis and visualization of the data we collect and report."

ALAN BURROW

Executive Director of District and School Performance, MS Department of Education (MDE)

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Find out what makes our programs
unlike anyone ELSE.

The Data Analytics certificate program provides fundamental knowledge in data analytics, including data management, statistics, visualization, as well as collecting, storing, and retrieving data.
 

Each of the courses in the Data Analytics certificate are taught online, asynchronously for approximately 7 weeks. You can complete the program in as little as two semesters.


The course credits earned in the certificate program are transferable to the master's degree programs offered by the Else School of Management.

Courses

QMGT 679
Introduction to

Analytics

This course focuses on the use of analytical and statistical tools for decision-making and applies these tools in the area of business intelligence.  Topics include data collection, descriptive statistics, ANOVA and communicating quantitative thinking.

Offered Spring I term (mid-Jan to mid-Mar)

QMGT 677

Collecting and Analyzing Data Using R

This course emphasizes the practical application of knowledge and skills that will enable a data analyst to collect data from multiple sources, import and clean data, and efficiently analyze the data.

Offered Fall 1 term
(mid-Aug to mid-Oct)

QMGT 675
Computational Statistics Using R

This course provides an introduction to multivariate statistics and will prepare the data analyst to appropriately select and apply the appropriate package. Topics covered include multiple regression, logistic regression, exploratory factor analysis, structural equation modeling, path analysis and confirmatory analysis.

Offered Spring 2 term (mid-Mar to mid-May)

QMGT 676

Data Visualization Using Tableau

This course uses Tableau software to help the data analyst design compelling visuals that convert raw data into data visualizations that go beyond the use of spreadsheets and tables.

Offered Fall 2 term
(mid-Oct to mid-Dec)

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