Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using ...

Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn). Data analysis - Exploring the ...

This project aims to analyze and visualize real-time air quality data across various cities in India. By using Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, we perform Exploratory Data ...

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

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.

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

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 develop an ...

The course material includes common hurdles that obstruct adoption of a data-driven culture, data analysis tools (R software, Minitab, MATLAB, and Python), statistical process control for studying ...