The program is specifically designed for employees who are leading or will be participating in a program that involves data analytics.

Pre-Requisites/Qualifications:

To be considered for the Data Analytics Certificate Program, an employee must be nominated by their supervisor and have:

• Experience in an organization working with data and analytics -OR-
• Experience in managing a data analytics team or project

The certificate program is designed to:

• Empower employees to identify the components of a successful data analytics program
• Discriminate between some of the analytical buzzwords like ‘artificial intelligence,’ ‘machine learning,’ and ‘internet of things.’
• Summarize the relationship among data governance, data quality and data management.
• Learn how to create data visualizations that are appealing to a wide variety of users.

You will learn the essential elements needed to chart the path to take your data analytics program to the next level.

Led by Harrisburg University Analytics faculty, program facilitators, individual seminars are presented by subject matter experts, and include guest speakers, and interactive group exercises.

The 6-module curriculum consists of a combination of presentations, industry guest speakers, case studies, and hands-on exercises.  The key areas of focus are on the components of implementing and maturing a successful data analytics program that include a data analytics culture, data quality, and data governance.  In addition, advanced topics such as data visualization, big data, data mining, predictive analytics, machine learning, and artificial intelligence will be covered.

• Classes meet VIRTUALLY/ONLINE via Microsoft Teams, one and a half days (1.5) per month, on Mondays and Tuesdays.
  • Monday class time is 1:00 pm – 4:30 pm, ET
  • Tuesday class time is 8:30 am – 4:300 pm, ET

See “NEXT COHORT” at the bottom of the page for the full schedule

Module 1 – Introduction to Analytics & Machine Learning

Module 2 – Building a Data-Driven Culture & Organization

Module 3- Data Governance & Quality

Module 4 – Communication & Visualization of Data

Module 5 – Tools of Machine Learning & Intelligent Automation

Module 6 – Limits and Risks of ML/AI Applications

Module 7 – Capstone Presentations, Program Year in Review Exercise and Graduation

Participants will be expected to complete readings and some written work prior to sessions.

A Capstone project, applying the program’s core curriculum to a data analytics assessment project will be produced and presented by participants.  Or, the Capstone project can be customized to meet specific data analytics challenge you would like to address.

Each learning module is linked to the Capstone to ensure you are assessing every aspect of your organization’s data maturity.

Attendance at a minimum of 90% of the sessions is required.

This program is a non-degree, non-credit bearing course.

A Certificate of Completion is awarded at the end of the program.

• A capstone project, applying the program’s core curriculum to a tech assessment project, will be produced and presented by participants.
• Attendance at a minimum of 90% of the sessions is required.

Awarding of a certificate of completion will be based on a pass-fail assessment of the program’s curriculum, attendance, and class requirements.

All course materials will be stored in HU’s Learning Management System (Canvas).

Materials such as: Module agenda, instructor/facilitator slide decks, guest speaker slide decks (when available), etc.

Participants will be enrolled into the Canvas platform and will have access to materials and session recordings.

Additional Material (included in the cost of the course)

Participants will receive (1) hardcopy textbook prior to the first Module:

• Analytics at Work: Smarter Decisions, Better Results by Thomas H. Davenport and Jeanne G. Harris

2024-2025 Program Fees*

• Private-Sector/For-Profit Organizations/Self-Employed: $3,745
• Public-Sector/Non-profit Organizations: $2,745

*Those accepted into the program or their organizations are responsible for the per-participant cost of the program.  Tuition fee is not collected at time of application.  Accepted applicants of the program will receive a tuition invoice at a later date.

CANDIDATE APPLICATION

Interested candidates should complete the application form by clicking on the APPLY NOW button below.  The application allows candidates to present their learning goals, past experiences, expertise, and knowledge they will bring to the cohort for consideration.  Candidates will be notified in a timely manner as to their acceptance into the Data Analytics Certificate program cohort.

NOMINATION/SUPPORT LETTER 

Candidates will demonstrate the support of their senior leadership by submitting a letter of nomination written on their behalf.  The nomination letter should include current position and responsibilities, along with skills, knowledge, and any special projects in which you are responsible.

The nomination letter should be addressed to “DACP Directors” and emailed to ProfessionalEd@HarrisburgU.edu with the subject line as, “DACP Nomination Letter for [YOUR FIRST AND LAST NAME]”

APPLICATION DEADLINE / ACCEPTANCE NOTIFICATION

• All applications and nomination/support letters are due by the Application Deadline date
• Applicants will be notified regarding whether they have or have not been accepted into the  program.

*Application deadline and notification dates are listed below under KEY DATES*

Data Analytics Certificate Program – Class of 2023/2024

Graduation Date: May 2, 2024