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Program Overview

The Harrisburg University, Data Analytics Institute, Data Analytics Certificate Program provides you with the strategic skills and techniques needed to advance your organization’s ability to perform data driven decision making.

Discuss and widen your depth of knowledge in:

  • Analytics & Machine Learning
  • Data Governance & Quality
  • Building Data-Driven Culture
  • Communication & Data Visualization
  • Machine Learning & Intelligent Automation
  • Limits and Risks of Machine Learning and Intelligent Automation

 

Target Audience/Pre-Requisites/Qualifications

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

Program Benefits

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.

 

Curriculum & Learning Methods

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.

Program Format

  • 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

Topics Covered

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

Expectations & Class Attendance Policy

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.

Certification of Completion

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.

Materials

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

Program Fee

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.

 

Application Process

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*

Recent Graduates

Data Analytics Certificate Program – Class of 2023/2024

Graduation Date: May 2, 2024

 


APPLICATIONS FOR THE 2024-2025 COHORT ARE NOW CLOSED.

If you are interested in applying for a future cohort, please email us at ProfessionalEd@HarrisburgU.edu to be added to our email list to receive announcements and updates.

2024-2025 Cohort Dates

Orientation – October 16, 2024

Module 1 – October 21-22, 2024

Module 2 – November 18-19, 2024

Module 3 – December 16-17, 2024

Module 4 – January 27-28, 2025

Module 5 – March 3-4, 2025

Module 6 – March 31 – April 1, 2025

Module 7 – Capstone Presentations – Monday, May 12, 2025 / Program Year in Review & Graduation – Tuesday, May 13, 2025

KEY DATES

Application deadline:

  • All applications and nomination letters are due by this date
  • See the “Application Process” above for detailed information

Acceptance Notification:
On/By

  • All applicants will be notified of their acceptance or non-acceptance into the program by this date

 


Graduate Testimonials

This is an excellent program for both analysts and leaders who want to learn how data analytics can propel their organizations forward. The course is taught by an exceptional professor who is passionate about the topic. The best practices I learned during the class as well as the connections I made with classmates will help my organization grow in analytical maturity.

Craig Troop | Deputy Director of Research Pennsylvania Lottery

This program offered much more than expected. I was pleased with the in-depth training provided by Dr. Anderson – her enthusiasm and expertise kept the class exciting and engaging. As an analyst/statistician, I was provided with a wealth of information concerning the world of analytics I was not aware of previous to this class.

Valerie Scott | Program Analyst 3 PA Department of Military & Veterans Affairs
ADA Statement: HU is committed to providing equal education opportunity and full participation for persons with disabilities. It is HU’s policy that no qualified person be excluded from participating in any HU program or activity, be denied the benefits of any HU program or activity, or otherwise be subject to discrimination regarding any HU program or activity. Should you potentially require an accommodation under the ADA to participate in this program, please email ProfessionalEd@HarrisburgU.edu. Please send your request for an accommodation at least 5 business days in advance of the event or program.