About this Course

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Flexible deadlines
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Approx. 66 hours to complete
English

Instructor

Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 66 hours to complete
English

Offered by

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University of Illinois at Urbana-Champaign

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.

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Course Orientation

1 hour to complete
2 videos (Total 8 min), 4 readings, 1 quiz
2 videos
Meet Professor Brunner4m
4 readings
Syllabus10m
About the Discussion Forums10m
Updating Your Profile10m
Social Media10m
1 practice exercise
Orientation Quiz30m
8 hours to complete

Module 1: Foundations

8 hours to complete
5 videos (Total 29 min), 2 readings, 2 quizzes
5 videos
The Importance of Data Analytics in Modern Accountancy3m
Introduction to the Course JupyterHub Server7m
Introduction to Markdown5m
Introduction to Python8m
2 readings
Module 1 Overview10m
Lesson 1-1 Readings10m
1 practice exercise
Module 1 Graded Quiz30m
Week
2

Week 2

8 hours to complete

Module 2: Introduction to Python

8 hours to complete
5 videos (Total 29 min), 2 readings, 2 quizzes
5 videos
Why Accounting Students Should Learn to Code4m
Python Data Structures7m
Introduction to Python Functions5m
Python Programming Concepts6m
2 readings
Module 2 Overview10m
Lesson 2-1 Readings10m
1 practice exercise
Module 2 Graded Quiz30m
Week
3

Week 3

8 hours to complete

Module 3: Introduction to Data Analysis

8 hours to complete
5 videos (Total 29 min), 2 readings, 2 quizzes
5 videos
Why Use Python Instead of Excel?3m
Introduction to Unix6m
Python File I/O7m
Introduction to Pandas6m
2 readings
Module 3 Overview10m
Lesson 3-1 Readings10m
1 practice exercise
Module 3 Graded Quiz30m
Week
4

Week 4

8 hours to complete

Module 4: Statistical Data Analysis

8 hours to complete
5 videos (Total 33 min), 2 readings, 2 quizzes
5 videos
How the Pandas Module Can Support Standard Business Analytics2m
Introduction to Numpy8m
Introduction to Descriptive Statistics10m
Advanced Pandas8m
2 readings
Module 4 Overview10m
Lesson 4-1 Readings10m
1 practice exercise
Module 4 Graded Quiz30m

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