Introduction to Python Data Analytics
NOTE: We are at capacity of the room. If you are interest in attending, please email Sai Ramadugu (firstname.lastname@example.org) to secure a spot.
This introductory course will cover the basic elements in Python data analytics. The topics to be covered the class include a brief introduction to data science and data analytics framework/tools/libraries, data handling with Python, and data analysis and visualization with Python and running some examples using Jupyter Notebook. No prior experience with Python is necessary for this course.
The course is taught by our Staff Data Scientist, Kang Lee. The room size is restricted to 16 attendees, so please click on "I'm Interested" and sending an email to Sai Ramadugu will help us to track the attendees.
- Basic Concepts of Python (Data Analytics)
- Demonstration of Python Data Analytics
Jupyter Notebook and code examples
Requirements for the class:
Please install Jupyter Notebook prior if you are bringing your own laptop. The computers in the Training Room will already be preinstalled with Jupyter Notebook. The installation notes can be found here.
Thursday, September 14, 2017 at 12:00pm to 3:00pm
University Capitol Centre, 2523 (Training Room)
200 South Capitol Street, Iowa City, Iowa