The popularity of Python is growing, especially in the field of data science. Consequently, there is an increasing number of free libraries available for usage. The aim of this review paper is to ...

Python libraries like Pandas, NumPy, SciPy, and Matplotlib streamline data cleaning, statistical analysis, and visualization directly within Excel.

Abstract The advent of the big data era has made data visualization a crucial tool for enhancing the efficiency and insights of data analysis. This theoretical research delves into the current ...

Financial analysis methods are widely used in the field of finance, and the introduction of Python technology makes it possible to analyze the financial situation of listed companies in a wider range ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...

Pandas vs NumPy: Choosing the Best Python Tool for Data Science Python, being one of the most dynamic landscape in data science, has become a force to be reckoned with, with its uniform set of ...

1. Data Analysis with Python: This course, offered by IBM on Coursera, will teach you how to use Python to analyze data and create insightful visualizations. You will learn how to use libraries such ...

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.