About this Course
4.5
4 ratings
1 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 56 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 56 hours to complete

Suggested: 7 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Course Orientation

You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course....
Reading
2 videos (Total 8 min), 4 readings, 1 quiz
Video2 videos
Meet Professor Brunner4m
Reading4 readings
Syllabus10m
About the Discussion Forums10m
Updating Your Profile10m
Social Media10m
Quiz1 practice exercise
Orientation Quiz10m
Hours to complete
8 hours to complete

Module 1: Foundations

This module serves as the introduction to the course content and the course Jupyter server, where you will run your analytics scripts. First, you will read about specific examples of how analytics is being employed by Accounting firms. Next, you will learn about the capabilities of the course Jupyter server, and how to create, edit, and run notebooks on the course server. After this, you will learn how to write Markdown formatted documents, which is an easy way to quickly write formatted text, including descriptive text inside a course notebook. Finally, you will begin learning about Python, the programming language used in this course for data analytics....
Reading
5 videos (Total 29 min), 2 readings, 2 quizzes
Video5 videos
The Importance of Data Analytics in Modern Accountancy3m
Introduction to the Course JupyterHub Server7m
Introduction to Markdown5m
Introduction to Python8m
Reading2 readings
Module 1 Overview10m
Lesson 1-1 Readings10m
Quiz1 practice exercise
Module 1 Graded Quiz20m
Week
2
Hours to complete
8 hours to complete

Module 2: Introduction to Python

This module focuses on the basic features in the Python programming language that underlie most data analytics scripts. First, you will read about why accounting students should learn to write computer programs. Second, you will learn about basic data structures commonly used in Python programs. Third, you will learn how to write functions, which can be repeatedly called, in Python, and how to use them effectively in your own programs. Finally, you will learn how to control the execution process of your Python program by using conditional statements and looping constructs. At the conclusion of this module, you will be able to write Python scripts to perform basic data analytic tasks....
Reading
5 videos (Total 29 min), 2 readings, 2 quizzes
Video5 videos
Why Accounting Students Should Learn to Code4m
Python Data Structures7m
Introduction to Python Functions5m
Python Programming Concepts6m
Reading2 readings
Module 2 Overview10m
Lesson 2-1 Readings10m
Quiz1 practice exercise
Module 2 Graded Quiz20m
Week
3
Hours to complete
8 hours to complete

Module 3: Introduction to Data Analysis

This module introduces fundamental concepts in data analysis. First, you will read a report from the Association of Accountants and Financial Professionals in Business that explores Big Data in Accountancy. Next, you will learn about the Unix file system, which is the operating system used for most big data processing (as well as Linux and Mac OSX desktops and many mobile phones). Second, you will learn how to read and write data to a file from within a Python program. Finally, you will learn about the Pandas Python module that can simplify many challenging data analysis tasks, and includes the DataFrame, which programmatically mimics many of the features of a traditional spreadsheet....
Reading
5 videos (Total 29 min), 2 readings, 2 quizzes
Video5 videos
Why Use Python Instead of Excel?3m
Introduction to Unix6m
Python File I/O7m
Introduction to Pandas6m
Reading2 readings
Module 3 Overview10m
Lesson 3-1 Readings10m
Quiz1 practice exercise
Module 3 Graded Quiz20m
Week
4
Hours to complete
8 hours to complete

Module 4: Statistical Data Analysis

This module introduces fundamental concepts in data analysis. First, you will read about how to perform many basic tasks in Excel by using the Pandas module in Python. Second, you will learn about the Numpy module, which provides support for fast numerical operations within Python. This module will focus on using Numpy with one-dimensional data (i.e., vectors or 1-D arrays), but a later module will explore using Numpy for higher-dimensional data. Third, you will learn about descriptive statistics, which can be used to characterize a data set by using a few specific measurements. Finally, you will learn about advanced functionality within the Pandas module including masking, grouping, stacking, and pivot tables....
Reading
5 videos (Total 33 min), 2 readings, 2 quizzes
Video5 videos
How the Pandas Module Can Support Standard Business Analytics2m
Introduction to Numpy8m
Introduction to Descriptive Statistics10m
Advanced Pandas8m
Reading2 readings
Module 4 Overview10m
Lesson 4-1 Readings10m
Quiz1 practice exercise
Module 4 Graded Quiz20m

Instructor

Avatar

Robert Brunner

Professor
Accountancy
Graduation Cap

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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