Отправлено: 06.11.24 06:20. Заголовок: top data science tools every data scientist should know

Here are some of the top data science tools every data scientist should know:

Python: One of the most popular programming languages for data science due to its simplicity and rich ecosystem of libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and TensorFlow.

R: Another essential programming language for data analysis and statistical computing, offering various packages like ggplot2, dplyr, and caret for data visualization and modeling.

Jupyter Notebooks: An open-source tool that allows interactive coding and visualization, making it ideal for data cleaning, modeling, and presenting results.

Apache Hadoop: A framework that allows for distributed storage and processing of large datasets, making it a go-to solution for big data applications.

Apache Spark: Known for its speed and scalability, Spark is used for handling large-scale data processing, machine learning, and real-time analytics.

Tableau: A powerful data visualization tool that helps data scientists turn raw data into meaningful insights through dashboards and visual analytics.

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