Data science uses a range of tools and approaches to evaluate data and extract insights. Programming languages like Python, R, and SQL are some commonly used tools for data processing and analysis. Data visualization tools such as Tableau and matplotlib facilitate the presentation of data. TensorFlow and scikit-learn are two machine learning frameworks that are used in the construction of predictive models. Data pretreatment, statistical analysis, and machine learning algorithms are among the methods needed for data science workflows.
Enroll DS/ML Course: https://www.theiotacademy.co/advanced-certification-in-data-science-machine-learning-and-iot-by-eict-iitg