Certificate Award in Applied Data Analysis (CADA)

The CADA was designed to provide training and support to participants who want to build their skills in leveraging data to inform decision-making. This includes a variety of skills and knowledge from how to conduct a needs assessment and develop a data collection plan. This process will help you to understand the effectiveness of programs and practices to analysis and reporting of findings to a variety of stakeholders. Each participant will complete a culminating project which includes the development of an inquiry question and data collection plan (Course #1); collection, organization, and analysis of data to answer the inquiry question (Course #2); and visualization and communication of findings (Course #3).

CADA Objectives:

All participants will develop their understanding and ability to:

Course #1 - Conceptualizing the Problem

  • Conceptualize a problem of practice by developing a research question and understanding the key indicators to measure as well as how to select an appropriate evaluation technique/method to answer a research question;
  • Create and present data collection plan related to the problem of practice.

Course #2 - Digging in the Data

  • Implement data collection plan developed in Course #1;
  • Utilize basic descriptive and inferential statistics as well as item and test statistics;
  • Compile, organize, and clean data sets in preparation for analyses;
  • Conduct and present quantitative and qualitative analyses related to the problem of practice.

Course #3 - Telling the Story with Data

  • Developing expertise in presenting complex information in an effective (accurately, verbally, and visually) manner to various stakeholders;
  • Select and appropriate visualization type based upon data to be displayed;
  • Demonstrate ability to develop appropriate visualization for a variety of stakeholder audiences and communicate findings effectively;
  • Present findings of problem of practice developed in Course #1 and analyses completed in Course #2 in a way that allows stakeholders to clearly understand the findings and recommendations./next steps.

Course Format

Participants must successfully complete courses in order (i.e., course 1, 2 and 3) to receive a certificate of completion. The courses will be taught using a hybrid design. Participants will meet weekly with the instructor and complete readings and learning activities through Blackboard. Certain themes will be woven throughout the courses (i.e., communication and presentation style; culminating project).

Recommended Text

Sue, V. M., & Griffin, M. T. (2016). Data Visualization & Presentation with Microsoft Office. Sage, Los Angeles, CA.

All other readings are provided in the course shells.

Prerequisites 

It is recommended that participants should have completed a beginning statistics course and have a working knowledge of Excel.

Grading

All courses will end with a grade of Credit/No Credit. In order to receive credit, students must complete all assignments ensuring that a standard of quality is met, including a culminating project, developed based upon the needs of their own organization.

Certificate of Completion

In order to earn a certificate of completion, participants must complete all assignments ensuring that a standard of quality is met. This will include a culminating project, developed based upon the needs of their own organization.

Continuing Education Units (CEUs)  

Participants who complete the entire program will earn 7.5 hrs. of Fresno State CEUs.  Please note: 1 CEU is equivalent to 10 hours of instruction. Therefore, 7.5 hrs. of Fresno State CEUs is equivalent to 75 hours of instruction for the entire program.

To register online, click on the red register button below or you may download a registration form here.

Course #1 - Conceptualizing the Problem (Offered in Fall 2018)

In this course, participants will conceptualize the problem they wish to address in their organization (e.g., improve school climate or understand the impact of their tutoring program). Once they have developed an understanding of key factors involved, they will then develop a data collection plan to help them either understand the needs of their stakeholders better or assess impact.

Class No.: 77423 (web-enhanced)
Dates:  August 27 through October 15, 2018; Face-to-Face meetings: August 27, September 10, 24, & October 8; and arranged time through Blackboard. No class on September 3.
Times: 5:30 - 8:30 p.m.
Place:  Kremen Education Building, Room 54 (Atrium Level)
Fees: $700
Units:  Non-credit
Semester:  Fall 2018

REGISTRATION IS NOW CLOSED

Instructor:  Amber Jacobo, Ed.D., works at the Fresno County Office of Education in Data and Assessment.  She has twenty years of experience designing and evaluating educational programs and fifteen years of experience working with district and community leaders to help them understand how to better use data to drive improvements. She has been teaching Research Methods and Program Evaluation at Fresno State since 2008.

Preregistration deadline is August 20, 2018.

Course #2 - Digging into Data (Offered in Fall 2018)

In this course, participants will collect data from both primary and secondary sources and put this data into a format that allows appropriate analysis. The primary tool for analysis will be Excel since all participants have access to this software. How to clean, prepare variables and analyze the data collection will be the focus of this applied course in data analysis.

Class No.:  77424 (web-enhanced)
Dates:  8 Mondays; October 22, 29November 5, 12, 26, & December 3, 10 & 17 will meet in person, and arranged time through Blackboard. No class on November 20.
Times: 5:30 - 8:30 p.m.
Place:  Kremen Education Building, Room 54 (Atrium Level)
Fees: $700
Units:  Non-credit
Semester:  Fall 2018

Instructor:  Corey Greenlaw, Ed.D., works with the Fresno County Office of Education in Data and Assessment. He has worked with schools and districts in the areas of assessment and data use. Dr. Greenlaw has worked for Fresno State as an adjunct instructor since 2006 and has taught numerous statistics and data analysis courses.

Preregistration deadline is October 15, 2018.

Register

Course #3 - Telling the Story with Data (Offered in Spring 2019)

In this course, participants will interpret their data from course 2 to determine which "stories" will be most important to highlight about their work. Participants will learn best practices for charting data considering a variety of audiences and practice their learning by developing and presenting a final "report" of their key findings.

Class No.: 36239 (web-enhanced)
Dates:  6 Wednesdays; January 9, 16, 23, 30, February 6 & 13 will meet in person, and arranged time through Blackboard.
Times: 5:30 - 8:30 p.m.
Place:  Kremen Education Building, Room TBD
Fees: $500
Units:  Non-credit
Semester:  Spring 2019

Instructors:  Corey Greenlaw, Ed.D. and Amber Jacobo, Ed.D.

Preregistration deadline is January 2, 2019.

Register

Please contact Amber Jacobo at ajacobo@fcoe.org, 559.497.3855 for additional information regarding the program.