What's the Expertise Required for Preparing Data Scientist Interview !!
Preparing for a data scientist interview requires a mix of technical expertise, problem-solving skills, and domain knowledge. Here’s a structured approach: 1. Understand the Role & Company Research the company, its products, and how it uses data science. Read job descriptions carefully to tailor your preparation. Identify key skills required (e.g., machine learning, statistics, SQL, Python). 2. Master Technical Skills a. Programming (Python, R, SQL) Be proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Learn SQL queries (joins, aggregations, window functions). Basic R knowledge can be helpful. b. Machine Learning & Algorithms Supervised vs. unsupervised learning. Regression, classification, clustering, dimensionality reduction. Bias-variance tradeoff, overfitting, feature selection. Model evaluation metrics (RMSE, accuracy, precision-recall, ROC-AUC). c. Statistics & Probability Descriptive statistics (mean, variance, ...