Data Science Venn Diagram - From Good to Great
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This document presents a Venn diagram that outlines the key skills and areas of knowledge required for good and great data science. For good data science, areas include data and IT management, programming languages, mathematical models, linear algebra and calculus, probability distribution and statistical inference, and domain expertise. For great data science, additional people skills are needed like empathy, presentation skills, communication skills, leadership skills, and understanding of human behavior and body language. The document was created by Koo Ping Shung and provides his contact information.
Data Science Venn Diagram - From Good to Great
- 1. Data Science Venn Diagram Koo Ping Shung pskoo@smu.edu.sg/koolanalytics@gmail.com
- 2. Venn Diagram – Good Data Science
- 3. Data & IT Management How data collection channel works. ETL process How to ensure high quality data. What are the risk involved in each stage. Cost & Benefit Analysis How infrastructure should be structured and integrated. What are the limitations of the infrastructure, especially on data quality. How to treat missing data? How to handle data errors? Programming Languages
- 4. Mathematical Models Data Requirements of each models. Assumptions of each models. Formulas involved to calculate the coefficients behind each models. If data is not enough what to do? How to do ‘proper’ sampling? How to evaluate effectiveness of models? Linear Algebra & Calculus Probability Distribution & Statistical Inference
- 5. Domain Expertise Business Rules, Policies & Process Regulations Strategy Planning and Execution Marketing – Online & Offline Accounting HR Management Supply Chain & Logistics Consumer Psychology
- 6. Venn Diagram – Great Data Science!
- 7. People Skills Empathy. Presentation Skills. Communication Skills. Leadership Skills. Be a good follower. Motivational Skills Human Behavior & Body Language