Data science technology needs no introduction. Organizations have been using it for a long time now to make data-driven decisions and boost their business. Students aspiring to become successful data scientists know the importance of this technology in transforming industries and their applications.

However, it is rare among beginners that they are aware of the heart of data science – the powerful data science frameworks. These are the tools that streamline complex processes and make the life of data science professionals easier to explore and analyze data and build efficient models.

Data science frameworks, to put simply, are the collection of data science tools and libraries that make various kinds of data science tasks easier. Whether it is data collection, data processing, or data visualization, data science professionals can utilize popular data science frameworks to accomplish their tasks easily.

USDSI® brings a detailed infographic guide highlighting the importance of data science frameworks, their benefits, top data science frameworks, and various factors that one must consider while choosing one.

Check out the infographic below, and learn from TensorFlow to PyTorch, what they are and what they are best suitable for. Moreover, data science certifications from USDSI® can boost your data science learning endeavors. Explore these too.