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Certification in Practice of Data Analytics

Certification in Data Analytics

Data Analytics is a burgeoning field due to the exponential growth of information created with today’s sophisticated technologies. The Certification in Practice of Data Analytics (CPDA) offers working professionals the opportunity to acquire the knowledge and skills that support the management and use of big data. The program currently includes five courses and four must be successfully completed in order to earn the certificate of completion.

If you want to learn the fundamentals of Data Analytics and embark on this exciting path, the CPDA program is for you. Upon successful completion of the certificate program, you will be able to:

  • Collect, clean, model, and report data as well as build data products
  • Analyze data to support informed data driven decisions
     

Advantages of this Data Analytics program

Busy professionals find this program meets their professional goals while providing a flexible learning experience. As a student in the program, you’ll enjoy:

  • All courses are delivered in 100% distance learning format
  • Being taught by top faculty from The Ohio State Univesity College of Engineering and Department of Statistics
  • Courses that focus on the most important and marketable components of data analytics
  • The option to take standalone courses for targeted learning or complete four courses to earn the certification
  • Students select their own pace towards completion of the Certification 
     

What you can expect

The online delivery of each course is comprised of:

  • Instructional material equivalent to a one semester credit hour class
  • Approximately 40 hours of class time per course that consists of 12-13 hours of recorded online instruction and 23-24 hours of additional out-of-class work (note - this is not the amount of time it will take a person to complete the course work)
  • All course lectures are recorded and available to you 24/7 through the university's Learning Management System called - Carmen
  • ​Course duration of approximately 7 weeks. See course pages for exact schedule
  • 4 CEUs are granted upon successful completion of each course
     

Course Sequence and Suggested Pre-Requisites

The courses can be taken individually for specific interests, or students can pursue the full certification. The courses can be taken in any sequence, although it is strongly recommended that people without experience or prior education in college level algebra take the Foundations of Statistics first. Data Mining is the second course in the sequence, followed by Practical Application to Advanced Analytics or Machine Learning. Visualization Analytics for Sensemaking can be taken at any time. Specific course pre-requisites are noted on the course information pages.
 

Courses and Registration Links


(Click on each course name to learn more or to register)  

  1. Foundation of Statistics  
  2. Data Mining
  3. Machine Learning and Optimization 
  4. Practical Application to Advanced Analytics
  5. Visual Analytics for Sensemaking  

     Optional course:
     Linear Algebra & Calculus for Machine Learning
 

Learn more. Attend an online information session June 20th 

 

                                Eventbrite - Certification in Practice of Data Analytics - online information session