About this Course

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100% online
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Flexible deadlines
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Approx. 64 hours to complete
English
Subtitles: English
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. 64 hours to complete
English
Subtitles: English

Offered by

University of Illinois at Urbana-Champaign logo

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 Quiz10m
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 Quiz20m
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 Quiz20m
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 Quiz20m
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 Quiz20m

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  • 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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