Python Data Analysis is a two day hands on course taking attendees through an in-depth look at the most common Python data analysis patterns and tools. The Python Data Analysis course begins with a review of the Python language from the perspective of a data practitioner, examining language fundamentals, data structures, data ingestion and I/O. Day one continues by exploring the most important and commonly used numerical processing tools in the Python ecosystem. Day Two of Python Data Analysis introduces the concept of data frames, tables and visualization tools, wrapping up with coverage of popular reporting and collaboration tools, IPython and Jupyter notebooks.
Upon completion attendees will have a practical understanding of the core tools and techniques involved in Python data analytics.
Who Should Attend
Application developers, analysts, and data scientists
What Attendees Will Learn
Upon completing this course, participants will:
- Understand how to use Python for data analysis
- Work with data in Python
- Be able to use Numpy and SciPy
- Understand how to visualize data with MatplotLib
- Learn about Jupyter Notebooks
Prerequisites
Prior experience with some programming language or analytics toolkit is desirable.