Skip to content
Harrisburg University Logo
Home » Professional Development & Continuing Education » Data Analytics Certificate Program
<span class="sub-title">Professional Development & Continuing Education</span>Data Analytics Certificate Program

Professional Development & Continuing EducationData Analytics Certificate Program

Skills and techniques for today’s data leaders to advance organization’s ability to perform data-driven decision making.

 

About the Course

The 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 data governance, data mining , data visualization and data quality among other subjects in this comprehensive course.

The program is specifically designed for employees who are leading or will be participating in a program that involves data analytics.  You will learn the essential elements needed to chart the path to take your data analytics program to the next level.  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.

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

 

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.

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.

Schedule and Module Topics

Class meets VIRTUALLY via Microsoft Teams, for 1.5 days per month
  • Mondays – 1:00 PM – 4:30 PM, Eastern
  • Tuesdays – 8:30 AM – 4:30 PM, Eastern
*unless otherwise noted; see full schedule below*

Student Orientation

Wednesday, October 16, 2024  | 2:00 pm – 3:30 pm, ET (Virtual)

Orientation will consist of meeting the program instructor, Harrisburg University programming team, as well as meeting the cohort participants.

Module 1: Introduction to Analytics & Machine Learning

M1:October 21-22, 2024

Recognition and awareness of Data Analytics & Machine Learning (ML) is essential for Decision Makers to shape their organizations, be proactive and agile, and gain a competitive edge using data driven decisions.

Module 2: Building a Data-Driven Culture & Organization

M2: November 18-19, 2024

Success in today’s business world necessitates transformation to a data-driven culture, building teams within the organization that can shift from an instinct-driven enterprise to one that is based on data and insights is key.

Module 3: Data Governance & Quality

M3: December 16-17, 2024

Building the proper foundation for accountability and enterprise-scale data quality (applying DataOps) is an indispensable investment that organizations must make if they truly want to become data driven.

Module 4: Communication & Visualization of Data

M4: January 27-28, 2025

Organizations must design and enable a culture of collaboration to deploy and maintain an effective communication-minded visualization model that will be accepted enterprise-wide

Module 5: Tools of Machine Learning & Intelligent Automation

M5: March 3-4, 2025

Drivers of change are making it imperative for organizations to improve operational efficiency, giving rise to the need for / and adoption of intelligent automation enabled solutions.

Module 6: Limits and Risks of ML / AI Applications

M6: March 31 – April 1, 2025

While Machine Learning and Artificial Intelligence have the potential for powerful innovations – decision makers must be cognizant of their limitations to recognize misconceived benefits, predictive inaccuracies, and biases in algorithms.

Capstone Presentations & Graduation

Capstone Presentations**  – May 12, 2025 (**Note: Full Class Day – 8:30 AM – 4:30 PM)

Course objectives are synthesized into an applied project – for example: the student will develop a written analytical maturity assessment report including an executive summary and formal classroom presentation describing results and an action plan.

Program Recap Class Exercise & Graduation – May 13, 2025 (Half-Day – Time TBD)

 

 

Additional Information

 

Expectations & Class Attendance Policy

Participants will be expected to complete readings and some written work prior to sessions.  Additionally, each participant is expected to complete a Capstone project.

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

Certification of Completion

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

Materials

The following materials are included in the cost of the course:

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

Tuition Fee

2024-2025 Tuition 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*

NOW ACCEPTING APPLICATIONS FOR THE 2024-2025 COHORT!

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.

APPLY NOW

KEY DATES

Application deadline:
FRIDAY, SEPTEMBER 13, 2024

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

Acceptance Notification:
On/By FRIDAY, SEPTEMBER 27, 2024

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

 

APPLY NOW FOR THE 2024-2025 COHORT

APPLY NOW

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.
Harrisburg University Logo

326 Market St, Harrisburg, PA 17101
P: (717) 901-5100 Contact Us

U.S. News & World Report - Best Colleges Logo
© 2024 Harrisburg University of Science and Technology™, All rights reserved. (™) The name Harrisburg University of Science and Technology and all derivatives including emblem and customized font are trademarks pursuant to PA Trademark Act, 54 Pa.C.S.A.:1114.