EAA Education Committee Online Courses Series
The EAA Education Committee is pleased to announce the launch of the Online Courses Series. Following our January 2021 survey insights, we have put together the following online courses:
Python Primer for Accounting Research
Instructor: Dr Martien Lubberink, Victoria University of Wellington
Live Q&A event for entry level: December 07, 2021, at 10-11 am CET
Introduction
This is an introductory course focused on the use of Python for accounting research. The course introduces participants to Python and the level of coding will be basic to intermediate. The course will also devote attention to the wider Python infrastructure that helps participants to solve problems and learn from others: Stackoverflow, Jupyter, Github.
Later on in the course, participants will learn to manage, munge, and analyze data, as well as present results using eye-candy graphs. The focus will be on analysing and presenting financial accounting data, all of which will be resourced from high-quality publicly available data.
All code will be presented in visually appealing Jupyter notebooks.
Materials, including Jupyter notebooks, videos, assignments will be accessible via a dedicated Github website.
Learning objectives
Participants who are successful in this course will be able to:
- Understand Python, how it can support research, and the value-added Pyhton offers over and above alternative packages
- Install and run Python, including the installation of relevant libraries
- Use support websites to solve coding problems
- Understand basic Python commands and variable types
- Import data from file and from remote data sources
- Use Pandas to explore, manage, clean data, deal with missing observations.
- Use Pandas to index, split, apply, and combine data
- Analyse financial data, handle data with different year-ends
- Visualize results and create stunning graphs
- Analyse data using statistical libraries
Delivery
This is an online course. The first sessions will be asynchronous, followed by a live Q&A session. Subsequent sessions will be taught interactively. The interactive part comprises of five live sessions via Zoom and participation will be limited to 50 people. There will be groups assignments that will be discussed in Zoom breakout rooms.
Course schedule
| Entry Level | Date | Videos made available on these topics: | |
| 1 | 15-Oct-21 | All the things you can do in Python. The value-added Python offers over and above alternative packages. | |
| 2 | 05-Nov-21 | Install and run Python, relevant libraries. Python ’helpers’. | |
| 3 | 19-Nov-21 | Python commands and variable types. | |
| 4 | 03-Dec-21 | Importing data from file and from remote data sources. | |
| Live Q&A session: Tue 07-Dec-21, 10-11 am CET | |||
| Intermediate | Date | Day & Time | Topics |
| 5 | 27-Jan-22 | Thu 10-11am CET | Use Pandas to explore, manage, clean data, deal with missing observations. |
| 6 | 01-Feb-22 | Tue 10-11am CET | Use Pandas to index, split, apply, and combine data. |
| 7 | 03-Feb-22 | Thu 10-11am CET | Analyse financial data, handle data with different year-ends. |
| 8 | 08-Feb-22 | Tue 10-11am CET | Visualize results and create stunning graphs. |
| 9 | 10-Feb-22 | Thu 10-11am CET | Analyse data using statistical libraries |
Register for this December 07 one hour event here
Register for the live sessions of Python Intermediate here