What is the difference between Data Analytics, Data Analysis, Data Mining, Data Science, Machine Learning, and Big Data?

### Key Differences:

1. **Data Analytics:** Examines data to find patterns and trends for decision-making.
2. **Data Analysis:** Focuses on answering specific questions from data.
3. **Data Mining:** Finds hidden patterns and relationships in large datasets.
4. **Data Science:** Uses data to make predictions and solve problems, covering the whole process from collecting to analyzing data.
5. **Machine Learning:** Creates algorithms that learn from data to make predictions or decisions.
6. **Big Data:** Manages and analyzes extremely large datasets that can't be handled by traditional tools.

### Summary:
- **Data Analytics/Analysis:** Understand and interpret data.
- **Data Mining:** Discover patterns.
- **Data Science:** Comprehensive data work.
- **Machine Learning:** Learning from data.
- **Big Data:** Handling large datasets.