Introduction to Business Data Analysis in Python
January 3-4
Featuring guest instructors from the Kansas City Federal Reserve Center for the Advancement of Data and Research in Economics.
This two-day workshop will take attendees through an introduction to the Python language and an overview of data analytics from a business and economics perspective. This lesson will cover the basics of programming in Python, popular data analysis packages such as NumPy, Matplotlib and pandas, and how to speed up existing code by implementing parallel computing.
No previous Python experience is necessary! This workshop will cover a wide range of topics valuable to novice and experienced users alike.
Topics include:
- Conditional programming and loops
- Working with data with the NumPy and pandas packages
- Plotting with Matplotlib
- Connecting to and retrieving data from databases
- Using the Anaconda Package Manager
- How to speed up scripts by incorporating parallel computing
For more information, including agenda and setup information, visit the workshop website.
Image Analysis in Python
January 7-9
Featuring guest instructors from Doane University's Digitial Imaging and Vision Applications in Science (DIVAS) project.
Learn how to begin processing image data within Python using the OpenCV library! These lessons will offer plenty of hands-on examples and exercises to help you begin working with your new skills immediately.
This workshop assumes a working knowledge of Python. If you are not familiar with Python, please register for the Introduction to Data Analysis in Python workshop outlined above.
Topics include:
- Morphometric vs Colorimetric Problems
- Digital Image Basics
- OpenCV Library
- Bitwise Operations
- Creating Color Distribution Histograms
- Blurring Filters
- Thresholding
- Edge Detection and Contours
For more information, including agenda and setup information, visit: http://unlhcc.github.io/2019-01-07-UNL