How do you handle large datasets and extract meaningful insights from them?

Sample interview questions: How do you handle large datasets and extract meaningful insights from them?

Sample answer:

1. Data Preprocessing:
2. Clean and organize the data.
3. Remove outliers and noise.
4. Normalize and standardize the data.

5. Handle missing values.

6. Exploratory Data Analysis:

7. Visualize the data using various plots and charts.
8. Identify patterns, trends, and correlations.

9. Calculate summary statistics and distributions.

10. Feature Engineering:

11. Extract relevant features from the data.
12. Transform and combine features to create new ones.

13. Select informative and non-redundant features.

14. Statistical Analysis:

15. Apply appropriate statistical tests to identify significant differences and relationships.
16. Quantify the uncertainty and variability in the data.

17. Perform regression analysis to model the data.

18. Machine Learning and Data Mining:

19. Train and evaluate machine learning models to predict outcomes or classify data points.
20. Use unsupervised learning techniques to discover hidden patterns and structures.

21. Implement data mining algorithms to extract valuable knowledge from the data. Read full answer

    Source: https://hireabo.com/job/5_0_3/Experimental%20Physicist