Python Primer for Accounting Research

About

Instructor: Dr Martien Lubberink, Victoria University of Wellington

Live Q&A event for entry level: December 07, 2021, at 10-11 am CET

To watch the recording, please click here.

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 using visually appealing Jupyter notebooks.

Course resources

Materials, including Jupyter notebooks, videos, assignments will be accessible via a this site and page. There is a dedicated Github website for notebooks, see this link.

Learning objectives

Participants who are successful in this course will be able to:

Understanding Python, how it can support research, and the value-added Python 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, with one final live session Q&A . Subsequent sessions will be taught interactively. Subsequent sessions will be taught interactively. The interactive part comprises of five live sessions via Zoom. There will be groups assignments that will be discussed in Zoom breakout rooms.

Course schedule

Entry Level	Date	Q&A	Videos made available on these topics:
1	15-Oct-21		All the things you can do with 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	Tue 07 Dec 10-11 am CET	Importing data from file and from remote data sources.

Intermediate	Date	Day	Topics
5	27-Jan-22	Thu 10-11 am CET	Use Pandas to explore, manage, clean data, deal with missing observations. To wwatch recording, click here.
6	01-Feb-22	Tue 10-11 am CET	Use Pandas to index, split, apply, and combine data. To watch the recording, click here,
7	03-Feb-22	Thu 10-11 am CET	Analyse financial data, handle data with different year-ends. To watch the recording, click here.
8	08-Feb-22	Tue 10-11 am CET	Visualize results and create stunning graphs.. To watch the recording, click here.
9	10-Feb-22	Thu 10-11 am CET	Analyse data using statistical libraries. To watch the recording, click here.

Register for this December 07 one hour event here

Register for the live sessions of Python Intermediate here

Organizer:

EAA Education Committee

Event Language:

Type:

Educational Course / Workshop

Website:

Target Group:

Topic:

Share