Professional Development & Continuing Education Programs

Data Analytics Certificate Program 2019 – Application

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Application for the Data Analytics Certificate Program 2019

Data Analytics Certificate Program 2019 Application

The Data Analytics Certificate Program provides you with the skills and techniques necessary to advance your organization's ability to perform data driven decision making.  The culmination of this program, a Capstone project, offers the opportunity to assess your organization's data maturity and to develop a plan to transform your organization using data.

 

 

 

 

 

 

 


APPLICATION FOR:

Data Analytics Certificate Program - 2019


APPLICATION DEADLINE: January 25, 2019

 

Program Snapshot

The Data Analytics Certificate 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.

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


Curriculum

The 7-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.


Format
  • This 7-month program begins in February and concludes in August 2019.
  • Classes meet in-person, 1.5 days per month on Thursdays from 1:00 pm - 4:30 pm and Fridays from 8:30 am - 4:30 pm

2019 Class Schedule

Orientation - An orientation will be held on Wednesday, February 13 from 12:00 - 1:00 pm

Module Day 1 Day 2 Topic Overview
1

Thursday

February 21, 2019

1:00 - 4:30 pm

Friday

February 22, 2019

8:30 am - 4:30 pm

Introduction to Data Analytics What is analytics and how can it transform an organization; identifying and framing the data analytics problem.
2

Thursday

March 21, 2019

1:00 - 4:30 pm

Friday

March 22, 2019

8:30 am - 4:30 pm

Building a Data Analytics Culture and Organization Data culture and teams; importance of trustworthy data; data literate employees; how to build an effective business case for data analytics program
3

Thursday

April 25, 2019

1:00 - 4:30 pm

Friday

April 26, 2019

8:30 am - 4:30 pm

Data Governance Impact of poor data quality and need for data governance; purpose and foundation of data governance; best practices for data governance
4

Thursday

May 23, 2019

1:00 - 4:30 pm

Friday

May 24, 2019

8:30 am - 4:30 pm

Data Quality Role of data quality in a data analytics program; define data quality and master data management (MDM); implementation of MDM
5

Thursday

June 20, 2019

1:00 - 4:30 pm

Friday

June 21, 2019

8:30 am - 4:30 pm

Data Communication and Visualization How to communicate data with appropriate data visualizations; best practices for dashboards and data storytelling
6

Thursday

July 25, 2019

1:00 - 4:30 pm

Friday

July 26, 2019

8:30 am - 4:30 pm

Big Data, Data Mining, Predictive Analytics, Machine Learning and Artificial Intelligence Define and understand the differences among these 'buzz words'; what type of applications are appropriate for each of these techniques
7

Thursday

August 22, 2019

1:00 - 4:30 pm

Friday

August 23, 2019

8:30 am - 4:30 pm

Tools and Technologies How to evaluate different analytical platforms; how to select the best analytical platform for your needs; how does open source software compare to commercial-based software

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 managing a data analytics team or project

Previous knowledge of analytical methods is helpful, but not required.


Application Process

PART 1 - The application form 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.

PART 2* - 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.

PART 3 - Applicants will be notified on February 1, 2019 regarding whether they have or have not been accepted into the 2019 program.

*The nomination letter should be addressed to “Data Analytics Certificate Program Directors” and emailed to ProfessionalEd@HarrisburgU.edu with the subject line as, “Data Analytics Certificate Program Nomination Letter for [YOUR FIRST AND LAST NAME]”  
Nomination letters must be received no later than January 25, 2019.

Expectations of Participants and Class Attendance Policy

Participants will be expected to complete readings and some written work prior to sessions.  Additionally, each participant is expected to complete the Capstone project outlined in the "Curriculum" section.

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 curricular, attendance, and project-based requirements.


2019 Enrollment Fees
Organizations are responsible for the per participant cost of the program.
                             For-Profit Organizations: $3,695.00  |   Non-Profit Organizations: $2,695.00
  • Breakfast and lunch will be provided on full day sessions (8:30 am  - 4:30 pm)
  • Food and beverages for opening reception, graduation, lunches, etc. for students and their supporting organizations leadership, are included in the tuition fee.

Parking is not included in the enrollment fee.

For information on parking in the Harrisburg University garage, and to view current hourly rates, please visit Standard Parking's website at: www.parkharrisburg.com


 

 

 

When
February 21st, 2019 12:00 AM   through   August 23rd, 2019 12:00 AM
Location
Harrisburg University of Science and Technology
326 Market Street
Harrisburg, PA 17101
United States
Contact
Phone: 717-901-5100
Email: