Accounting Data Analytics with Python
Master Python programming for accounting analytics: data wrangling, visualization, and statistical analysis using Python and SQL.
Master Python programming for accounting analytics: data wrangling, visualization, and statistical analysis using Python and SQL.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Accounting Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.3
(91 ratings)
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English
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What you'll learn
Create and execute Python code in Jupyter Notebook
Manipulate and analyze data using Pandas and NumPy
Create effective data visualizations with Python libraries
Perform statistical analysis and linear regression
Work with SQL databases through Python
Skills you'll gain
This course includes:
7 Hours PreRecorded video
8 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This comprehensive course teaches Python programming for accounting data analytics. Students learn to use Python for data wrangling, visualization, and analysis within accounting contexts. The curriculum covers essential topics including Python basics, data structures, Pandas dataframes, NumPy arrays, data visualization with Matplotlib and Seaborn, statistical analysis, and database management with SQL. Through hands-on programming assignments and projects, students develop practical skills for modern accounting analytics.
Introduction to the Course
Module 1 · 1 Hours to complete
Foundations
Module 2 · 3 Hours to complete
Introduction to Python
Module 3 · 4 Hours to complete
Introduction to Python Programming
Module 4 · 5 Hours to complete
Python Programming
Module 5 · 5 Hours to complete
Data Analysis With Python
Module 6 · 5 Hours to complete
Introduction to Visualization in Python
Module 7 · 5 Hours to complete
Production Data Analytics
Module 8 · 4 Hours to complete
Introduction to Databases in Python
Module 9 · 6 Hours to complete
Fee Structure
Instructors
Senior Lecturer of Accountancy and Teaching and Learning Faculty Innovation Scholar
Ronald Guymon is a Senior Lecturer of Accountancy at the University of Illinois Urbana-Champaign, where he has been teaching since 2018. He holds a Ph.D. in Accounting from the University of Iowa, earned in 2008, as well as both a Bachelor’s and Master’s degree in Accounting from Brigham Young University. With a strong focus on data analytics within accounting, Professor Guymon teaches courses such as "Accounting Data Analytics with Python" and "Introduction to Accounting Data Analytics and Visualization," equipping students with the skills necessary to leverage data for informed decision-making in business contexts.In addition to his teaching role, Guymon is recognized as a Teaching and Learning Faculty Innovation Scholar, reflecting his commitment to enhancing educational practices. He has extensive experience in applying data analytics across various industries, having served in roles such as Chief Data Officer for multiple organizations. His research interests include the intersection of accounting and data analytics, with publications addressing topics like performance measurement and the impact of data on decision-making processes. Through his innovative teaching methods and practical insights, Ronald Guymon continues to influence the next generation of accountants and business leaders at UIUC.
Instructor of Accountancy
Linden Lu is an Instructor of Accountancy at the University of Illinois Urbana-Champaign, where he has been teaching since 2017. He holds multiple degrees, including an M.S. in Finance from UIUC, an M.S. in Computer Science from Indiana University, and a B.S. in Computer Science from Tsinghua University. His diverse educational background equips him with a unique perspective on the integration of technology and accounting practices.Professor Lu specializes in courses that merge accounting with data analytics and machine learning, offering classes such as "Accounting Data Analytics with Python" and "Machine Learning for Accounting with Python." His teaching focuses on equipping students with the skills to analyze financial data using advanced analytical techniques, preparing them for the evolving demands of the accounting profession. Recognized for his excellence in teaching, he has consistently been listed among the faculty ranked as excellent by students. Through his innovative approach to education, Linden Lu is dedicated to fostering a new generation of accountants who are proficient in data analytics and technology-driven solutions.
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4.3 course rating
91 ratings
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