Data Science Tools and Technologies

Programming Languages: Python, R, and SQL are commonly used programming languages in data science for data manipulation, analysis, and modeling.

Data Visualization: Tools like Tableau, Power BI, and Matplotlib help create visual representations of data to communicate insights effectively.

Machine Learning Libraries: Popular libraries such as scikit-learn, TensorFlow, and PyTorch provide pre-built algorithms and frameworks for machine learning tasks.

Big Data Technologies: Apache Hadoop, Spark, and NoSQL databases enable processing and analysis of large-scale datasets.

Cloud Platforms: Services like AWS, Azure, and Google Cloud provide scalable infrastructure for storage, processing, and deploying data science applications.

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