Data Science is all about gaining insights from raw data and helping decision makers make informed decisions backed by data and facts rather than experience and intuition. So, data analysis can be termed as the core of data science, and undoubtedly, Python is the indispensable tool for data analysis.
Python has been constantly ranked among the top programming languages preferred by data science professionals for all kinds of data science tasks, including analysis, data wrangling, and data visualization.
But why is Python so popular?
Python programming language comes with so many features, making it ideal for all kinds of tasks in a data science project lifecycle. Some of the key features include:
With Python, you don’t essentially need to start from scratch. In the following infographic, the United States Data Science Institute (USDSI®) highlights the importance of Python for data analysis, including its key features, advantages, libraries, and real-world applications.
Python is a go-to tool for data scientists, and every data science certification you enroll in will explore Python in detail.
Check out the infographic to get a brief overview of Python now.
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