This repository contains the Jupiter notebooks of the course Data Analysis with Python: Zero to Pandas, which is avilable at Jovian.ml and at freeCodeCamp.org YouTube channel. The course instructor ...

Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this ...

This book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. Data scientists ...

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Validated statistical differences using hypothesis testing. Provided clear, visual insights to make data-driven environmental decisions. 📌 Note: This analysis is based on historical and synthetic ...

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 ...

"Python in Excel combines Python's powerful data analysis and visualization libraries with Excel's features you know and love," Microsoft said. "You can manipulate and explore data in Excel using ...

Excel users can now use Python’s advanced capabilities for data manipulation, statistical analysis, and data visualization without leaving their familiar spreadsheet environment. This opens up new ...

One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.