If you are considering becoming a data analyst you might be interested in a new guy that has been created by Mo Chen. This comprehensive guide provides a clear roadmap for aspiring data ...

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 ...

Python is often associated with data-heavy professions like data science and programming because of its powerful data analysis and manipulation capabilities. However, others use Python to ...

Python is simple and has a sizable developer community that can assist you with data analysis using the tool. Because Python has so many innovative libraries available for data analysis and ...

I hope that it’ll be useful to those who already have a background in software or Python, but who are looking for an easy-to-scan reference to use in data analysis projects. Python is easy to ...

It outfits Python with new data types for loading data fast from tabular sources, and for manipulating, aligning, merging, and doing other processing at scale. Pandas is not part of the Python ...

The data is clean, consistent, and ready for analysis. While Excel offers several functions and tricks to analyze sales trends, Python takes the entire experience to the next level. Whenever I ...

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

The two worlds of Excel and Python are colliding thanks to Microsoft’s new integration to boost data analysis and visualizations. The two worlds of Excel and Python are colliding thanks to ...