Description:
Technical Skills:Programming Languages: Python, R, SQLMachine Learning: Algorithms, models, and libraries (e.g., scikit-learn, TensorFlow, PyTorch)Statistical Analysis: Descriptive and inferential statistics, hypothesis testing, regression analysisData Visualization: Tools like Tableau, Power BI, Matplotlib, SeabornData Wrangling and Cleaning: Techniques for handling messy dataDatabase Management: SQL, NoSQL databasesBig Data Technologies: Hadoop, SparkCloud Computing: AWS, Azure, Google Cloud P
Apr 8, 2025;
from:
dice.com