1. FACULTY EXTERNSHIP OPPORTUNITIES IN DATA SCIENCE AND DATA ANALYTICS Facilitated by: FilAm Software Technology, Clark Freeport Zone Ecuiti, San Francisco, California, USA

2. OVERVIEW FilAm Software Technology and Ecuiti are excited to be offering an innovative program for developing Data Science Talents to shape and reshape industries through Systems of Insight. We are creating skill development programs, externships, and data science curricula designed to develop talented Data Scientists. The purpose is to stimulate development of skills and talents required to address growing demand for data science services globally.

3. MECHANICS Because of our unique Knowledge Development System, we can advance the experience, functional expertise and leadership characteristics of all participants in this ever- growing field of Data and Analytics. Prior to attending the program we will work with each participant to complete a personal assessment and goal setting exercise. This enables the creation of an Individualized Knowledge Development Plan designed to optimize tangible program benefits and attainment of learning goals so each participant can start learning day one.

4. LOGISTICS The program will consist of online training, interactive training with top level experts from around the world and practical application in Real World Scenarios. The location could be any of the following: Onsite at the FilAm offices in the Clark Freeport Zone, Pampanga; Onsite at one of the participating universities; or Remotely The requirements would be to have adequate internet access for the training and a computer that can run R.

5. 4 WEEK PROGRAM Week 1 – Focus on Data Week 2 – Focus on Analysis Week 3 – Focus on Assessment Week 4 – Focus on Outcomes

6. WEEK 1 – FOCUS ON DATA Functional Skill Courses ( ~20 hours) Potential courses include but not limited to: Introduction to Big Data from UCSD; Getting and Cleaning Data from Johns Hopkins Data Manipulation at Scale From University of Washington Pattern Discovery in Data Mining from University of Illinois

7. WEEK 1 – FOCUS ON DATA Ecuiti Specific Training (~5 hours) Making Sense of Big Data and Data Science Big Data Technology Maturity Model Real World Application (~15 hours) Hands on experience with a variety of Use Cases with a unique and different datasets

8. WEEK 2 – FOCUS ON ANALYSIS Functional Skill Courses ( ~20 hours) Potential courses include but not limited to: Practical Predictive Analytics Models and Methods from University of Washington Practical Machine Learning from Johns Hopkins Machine Learning from Stanford Advanced Algorithmic Toolbox from UCSD

9. WEEK 2 – FOCUS ON ANALYSIS Ecuiti Specific Training (~ 5 hours) Analytics Maturity Models Statistical Learning Real World Application (~15 hours) Building on our hands-on experience with the Use Cases Add the dimension of analysis over a breadth of functional areas of models and methods

10. WEEK 3 – FOCUS ON ASSESSMENT Functional Skill Courses ( ~20 hours) Potential courses include but not limited to: Data Visualization and Communication from Duke Universit Reproducible Research from Johns Hopkins

11. WEEK 3 – FOCUS ON ASSESSMENT Ecuiti Specific Training (~ 5 hours) The Integrated Insight Strategy The Future History of Insight Real World Application (~15 hours) Building on our hands-on experience with the Use Cases Assessing the results of the analysis to turn new knowledge into insight and recommendations

12. WEEK 4 – FOCUS ON OUTCOMES Functional Skill Courses ( ~20 hours) Potential courses include but not limited to: Developing Data Products From Johns Hopkins Hadoop Platform and Application Framework Materials from Leading edge Authorities on Artificial Intelligence and Optimization

13. WEEK 4 – FOCUS ON OUTCOMES Ecuiti Specific Training (~ 5 hours) The Optimization Economy Orchestration vis the Ecuiti Way Big Data Interoperability Architecture Real World Application (~15 hours) Building on our hands-on experience with the Use Cases Determine what requirements need to be implemented for continuous measurement and improvement