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Accounting Data Analytics with Python
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CERTIFICATE

Accounting Data Analytics with Python

This course is part of Accounting Data Analytics.

Course Cost

Free course

Intermediate

Skill Level

39 Hours

Self-paced lessons

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

13,136 Enrolled

Ronald Guymon

Ronald Guymon

Linden Lu

Linden Lu

English

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4.3

13,136 Enrolled

English

Ronald Guymon

Ronald Guymon

Linden Lu

Linden Lu

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

Python Programming
Data Visualization
SQL
Linear Regression
Data Preparation
Pandas
NumPy
Statistical Analysis
Database Management
Data Wrangling

This course includes:

7 Hours PreRecorded video

8 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Accounting Data Analytics

Reviews

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Ronald Guymon

4.9

149

Reviews

79,157

Students

5

Courses

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.
Linden Lu

4.3

29

Reviews

19,482

Students

3

Courses

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.
Accounting Data Analytics with Python

Intermediate

Skill Level

39 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.