Description:
Data Science:Programming:Proficiency in Python, R, and SQL is essential for data manipulation, analysis, and model building.Statistics:A strong foundation in statistics, probability, and linear algebra is required for understanding data distributions, performing statistical tests, and developing models.Machine Learning:Knowledge of various machine learning algorithms (regression, classification, clustering), model evaluation, and feature engineering is crucial.Data Visualization:Ability to creat
Apr 28, 2025;
from:
dice.com