20/01/2025
𝗪𝗼𝗿𝗱𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗱𝗮𝘆📈📊
1. Data science: Khoa học dữ liệu
2. Data scientist: Nhà khoa học dữ liệu
3. Data analytics: Phân tích dữ liệu
4. Data analyst: Nhà phân tích dữ liệu
5. Business analyst: Nhà phân tích kinh doanh
6. To interpret findings: Giải thích những phát hiện
7. Data mining: Khai thác dữ liệu
8. Overarching (umbrella) term: Thuật ngữ tổng quát
✨Data science is larger than data analytics.
📍Data science can be used when developing a NEW product.
Data science lifecycle:
- Identify problem
- Data mining is extracting data relevant to that problem or opportunity from a large dataset consisting of a bunch of redundancies and errors)
- Data cleaning
- Data exploration
- Feature engineering is using domain knowledge to extract details from the data
- Predictive modeling
- Data visualization
🏁Goal: develop deep skills in machine learning and AI
🛠Tools: python, R, Hadoop, SQL
📍Data analytics can be used when selling a product based on the existing dataset.
- Predictive analytic: identify trends, correlations and causation within dataset
- Prescriptive analytics: predicts likely outcome and makes decision recommendation
- Diagnostic analytics: help pain point the reason an event occurred
- Descriptive analytic: evaluates the qualities and quantities of a data set
🏁Goal: interpret existion data and offer action insights
🛠Tools: Database, statistic, data visualization
