This course introduces basic Python programming and data analysis concepts and will give students the skills to run and modify Python notebooks for quantitative data analysis. At the end of the course ...

With vast amounts of data, asset managers need sophisticated data analytics to derive insights. Here’s how to build a business case for advanced use cases.

In many data analytics use cases, the Python code tends to be simple – requiring just a few lines — which means that time to market is reduced. This makes Python a natural fit for artificial ...

When doing data analysis, I prefer to use Jupyter notebooks as they provide a more convenient environment than the command line. You can inspect the data you are working with and write your ...

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask Open source Python library Dask is the key to this. Written by George Anadiotis, Contributor March ...

TL;DR Key Takeaways : Python integration in Excel enhances data analysis by combining Python’s flexibility with Excel’s accessibility, allowing advanced analytics and workflow optimization.

TOKYO, Oct. 19, 2023 — NEC Corporation today announced the launch of “FireDucks,” a free software program designed to accelerate the table data analysis library “pandas,” which is used for analysis ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

Advanced Data Analysis Techniques. Python’s DataFrame functionality provides a robust framework for conducting advanced statistical analysis. By using these tools, you can uncover patterns ...

Python and Excel can only really talk to each other through limited functions—xl() and =PY()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.