Data Analytics Certificate Program
About Data Analytics
It is difficult to imagine today’s world without big data. More information is available than ever before, and understanding how to properly collect, evaluate, draw conclusions from, and apply data is critical for making informed business decisions. Professionals in all industries are increasingly using large-scale data sets to make organizational improvements such as increased efficiency and effectiveness.
CEPE’s Data Analytics Certificate program provides participants with a foundation in this rapidly evolving field, with exposure to new concepts, techniques, and nomenclature. Instructors will share practical knowledge and tools that participants can immediately apply in the workplace to help achieve improved outcomes and positively impact their organizations. Participants will develop technical data analytics skills and learn how to make ethical, data-driven decisions and communicate effectively using data.
Certificate Snapshot
Format |
Courses delivered in a virtual format with live instructor & student interaction |
Frequency |
2-3 times per year (Fall, Winter, and Spring) |
|
Length |
Five, 15-hour classes (5 evenings each, 6:00pm - 9:00pm) The program can be completed in as little as two terms but must be completed within three years. |
Cost |
Full certificate cost: $3,245 |
The hands-on classroom experiences were excellent. While the classes that focused on the theory and history of data analytics were good, the hands-on classroom experiences were what I remember most. We spent a few hours using basic coding and several more hours experimenting with different data visualization programs.
- Sally Boyer
Who Should Attend
This certificate program is intended for individuals who have little formal education in data analysis but now work with data and need to become conversant in all aspects. The program is also appropriate for those who are new to data and are looking for a foundation in this growing field.
What You’ll Learn
Upon completion of this program, students will have gained the knowledge to:
- Define and understand the components of the data life cycle and big data;
- Understand the basics of database management and design concepts;
- Describe data in a meaningful way with charts and statistics;
- Become familiar with the wide range of applications of data mining and common data mining processes;
- Communicate effective messages with data and visualizations.
5 Required Certificate Courses
Courses may be taken individually and in any order unless otherwise noted. If pursuing the certificate, all courses in the certificate program must be completed within three years. A recommended sequence is below.
- DA401: Fundamentals of Data Analytics
- This practical course provides participants with an overview of data analytics as well as all aspects of the analytics cycle, including warehousing, mining, analysis, and visualization.
- DA402: Data Warehousing
- Learn how to gather, prepare, and save good data in order to build and develop a sound warehouse that will provide a strong foundation for future data analysis.
- DA400: Intro to Quantitative Methods
- This introductory course provides students with the basic language of statistics and equips them with the necessary tools to interpret and perform basic statistical tasks.
- This introductory course provides students with the basic language of statistics and equips them with the necessary tools to interpret and perform basic statistical tasks.
Required Courses Continued
- DA403: Data Mining
- Understand how automated systems can extract the patterns concealed within massive data sets in order to forecast consumer behavior and help organizations make more informed choices.
- DA405: Data Visualization and Communication
- This interactive course is designed to help participants learn the methods, tools, and techniques needed to best understand and present complex data in simple and effective ways.
- Meet the Instructors
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