400 Hour DMAIPH Data Science & Analytics OJT/Internship Program
The end goal is to develop a DSA strategy presentation for manager. Start out by getting to know the physical data environment, the tools being used and the main players in the business. Move on to assessing the maturity of the analytics culture and it’s use of DSA talent, techniques and technology. Design a business dashboard prototype and deliver a compelling data story to improve management reporting.
Three tracts for interns… HR Analyst, Business Analyst and Data Analyst.
Interns will spend 60% of the internship at the place of business and 40% of the internship in a classroom. This will facilitate the application of theory to real business data in order to help managers get a better idea of the what’s working and what’s nor when it comes to the data in their business.
Based on the APEC DSA Competencies which is close to being adopted by 20+ countries across Asia and the Pacific as a guide for current and future DSA training efforts.
Week 1 – Fundamentals of DSA
- APEC DSA Competencies
- Company Background
- How This Internship Works
Exercise: LinkedIn Profile
Company Deliverable: Company/Organization DSA Profiles
Week 2 – DSA in the Philippines
- Putting Data into Context
- Emerging Trends
- Cultures of Innovation
Exercise: Glossary of Data
Company Deliverable: Defining Where the Cutting Edge Is
Week 3 – Data Management & Governance
- Data Management Macro View
- Data Governance
- Information Security
Exercise: Data Survey
Company Deliverable: Info Security Risk Assessment
Week 4 – Data Analytics Methods & Algorithms
- Data Management Micro View
- The Right Data
- Machine Learning
Exercise: Who’s Who of Data in the Business
Company Deliverable: Data MVPs
Week 5 – Data Science Engineering Principles
- Data Map
- Identify Right App
- Feedback Loop
Exercise: A Visio Data Map
Company Deliverable: Map of Business Data Lake
Week 6 – Computing and Computational Thinking
- MS Excel
- Query Data
- Programming Languages
Exercise: Top 10 Excel Tips Video
Company Deliverable: Top Ten Data Tips
Week 7 – Statistical Techniques
- Getting IT
- Analytics Maturity Model
- Predictive Analytics Model
Exercise: Flight Risk Model
Company Deliverable: Results of Maturity Assessment
Week 8 – Operational Analytics
- Management Reporting
- Public Big Data
- Business Dashboards
Exercise: Tableau Public Mock Up
Company Deliverable: Business Dashboard Prototype
Week 9: Data Visualization & Presentation
- Data Visualization
- Data Storytelling
- Exercise: D.R.A.P.S
- Company Deliverable: A Business Data Story
Week 10 – Final Project/DSA Strategy Presentation
My goal is to create and promote a hybrid approach that offers both supplemental education and hands on experience. We need to get past the days of having OJT do data encoding or simple research projects… they need skills that they can apply day one.
They need it, we need it, the country needs it.
Any ideas or suggestions? This is just the first draft.
Hoping to roll this out in the next month or so.
Analytics Education – Facilitating a mastery of the fundamentals of analytics is what DMAIPH does best. As a key parnter of the Asia Pacific Economic Cooperation’s Project DARE initative, DMAIPH champions the use of using data. All across the world, companies are scrambling to hire analytics talent to optimize the big data they have in their businesses. We can empower students and their instructors with the knowledge they need to prepare for careers in data science and analytics. Contact DMAIPH now at email@example.com or connect with me directly so we can set a guest lecturer date, On-the-Job Training experience or other analytics education solution specifically tailored to your needs.