Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

DataCamp’s data science bootcamps aim to provide practical, hands-on experience in areas such as statistics, programming, machine learning, data analysis and data visualization.

How to Use Python to Analyze SEO Data: A Reference Guide Python can help eliminate repetitive SEO tasks when no tools can help you. Here are some practical Python applications for SEO.

Anyone looking to get into computer programming needs to know about Python. This computer programming language has many uses, from building websites and software to conducting data analysis and more.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.