Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will learn about data analysis using Python.

Rather than write spreadsheet macros, which are clunky and limited, you can use Pandas to analyze, segment, and transform data—and use Python’s expressive power and package ecosystem (for ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Whether you’re working with sales data, employee performance metrics, or customer insights, Python in Excel offers a smarter, more efficient way to handle external data.

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...