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Overview of Data Science
The document provides an overview of the field of data science, discussing what data science entails, the roles of data analysts, engineers, and scientists, as well as the key skills involved which include programming languages like Python and R, tools like Spark and SQL, statistics, machine learning, and domain expertise. It also briefly touches on debates around tools and languages and the relationship between statistics and computer science in data science work.
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Overview of Data Science
- 1. Overview of DataScience Speaker: Kwan-Yuet (Stephen) Ho Hong Kong Professional Network March 1, 2020
- 2. What is DataScience? ● Data Analysis? ● Machine Learning? ● Artificial Intelligence? ● Quantitative Analysis? ● Python Codes?
- 6. Data Analyst Data Engineer DataScientist Machine Learning Engineer Software Developer DevOps Statistics Data Wrangling Domain Knowledge Model Prototyping Machine Learning Software Test Engineer Model Development Quantitative AnalystData Engineering Data Cleaning Communication Writing Unit Tests APM ETL Environment Setup Deployment Modularization Research Coding SQL / NoSQL Queries Patent Writing Data Visualization
- 7. Schools ● R vs.Python (or Julia) ● H2O vs. Scikit-learn ● TensorFlow vs. PyTorch ● Row vs. Column ● Statistics vs. Computer Science
- 8. Skills ● Python orR or Julia ● Spark ● SQL ● Statistics ● Optimization ● Modeling ● Machine Learning