"Any Python developer should be able to bring their business users closer to fresh, reliable data," Matthias Krzykowski, ...

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

It is well-known that data scientists spend about 90% of their time performing data logistics-related tasks. After that part is done, to some degree, the data scientist finally gets to ask questions ...

Overview Data engineers build the pipelines and systems that collect, clean, and organize information for analysis.Data scientists use that organized data to un ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Open source is the backbone driving digital innovation (Gartner, 2019). It’s crucial to many of today’s leading-edge digital fields, including data science and machine learning. No single technology ...

INE, a leading provider of technical training and certification, today announced the launch of the Junior Data Scientist (eJDS) certification , an entry-level credential designed to validate practical ...

Python use is surging in data science, thanks to its versatility and its ease of use. But as an interpreted language, Python code can be quite slow, especially compared to hand coded C++. That’s what ...