Save for later

Accounting Data Analytics with Python

Accounting Data Analytics,

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data). The first half of the course picks up where Introduction to Accounting Data Analytics and Visualization left off: using in an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software. The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regression. Finally, we explain how to use Python for interacting with SQL data.

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera and may earn a commission when you buy through our links.

Get a Reminder

Send to:
Rating 2.0★ based on 1 ratings
Length 9 weeks
Effort Eight weeks of study, eight hours per week.
Starts Jun 26 (47 weeks ago)
Cost $158
From University of Illinois at Urbana-Champaign via Coursera
Instructors Ronald Guymon, Linden Lu
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

Get a Reminder

Send to:

Similar Courses

What people are saying

took a lot longer

Course took a lot longer to complete because of lack of feedback, requiring me to find outside sources (i.e., YouTube videos, internet articles, WikiPedia, etc.)

lacked significantly in teaching

Course had good content, but lacked significantly in teaching videos and and feedback.

concepts presented in course

to learn concepts presented in course and to complete required programming assignments.

included was within jupyter

Lack of feedback included was within Jupyter Notebook (reading and programming assignments) and Discussion Boards.

course had good

complete required programming

discussion boards

but lacked

find outside

internet articles

learn concepts

jupyter notebook ( reading

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Data Entry Clerk, Accounting $31k

Accounting 1 3 $34k

Data Entry Specialist - Accounting $37k

Accounting/Data Entry $42k

Revenue Accounting/Accounting $42k

Accounting Data Entry $48k

Accounting 1 4 $48k

Accounting 2 4 $59k

Accounting Specialist & CDE Data Specialist $64k

Data Accounting Analyst $64k

IT/Accounting $67k

Accounting/IT $70k

Write a review

Your opinion matters. Tell us what you think.

Please login to leave a review
Login or register with your email instead.
Rating 2.0★ based on 1 ratings
Length 9 weeks
Effort Eight weeks of study, eight hours per week.
Starts Jun 26 (47 weeks ago)
Cost $158
From University of Illinois at Urbana-Champaign via Coursera
Instructors Ronald Guymon, Linden Lu
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Finance

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now

Special thanks to our sponsors