Python is a powerful yet quick-to-learn programming language, used to mine data to find patterns and “hidden gems”, build recommendation systems, and automate the discovery and analysis process. The Python community has created many free and open-source packages of code and tools to work with data engineering, analysis, and visualization.
During this one hour webinar we’ll explore some of the most used Python data science libraries such as pandas, NumPy, matplotlib, and seaborn, and how they can improve operational efficiency and productivity through:
- Open source, no licensing
- Data mine text, (not an Excel strong point)
- Reusable “chunks” of analysis, business custom functions, and libraries that are easy to share
Usable across multiple sources of data, interoperable on different hardware, software, OS, cloud platforms, and supportive of AI, ML, Big Data tasks – (Excel is limited in this), are just a few of the benefits we will discover together during this presentation.
